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IGNOU BECS 184 Solved Free Assignment 2023

DATA ANALYSIS

Table of Contents

BECS 184 Solved Free Assignment 2023

BECS 184 Solved Free Assignment Jan 2023

Assignment One

(a.) Compute and interpret the correlation coefficient for the following data:

X(height) 12 10 14 11 12 9 y (weight) 18 17 23 19 20 15, (b) explain step by step procedure for testing the significance of correlation coefficient..

Ans (a.) To compute the correlation coefficient, we first need to calculate the mean and standard deviation for both X (Height) and Y (Weight).

For X: Mean of X (meanX) = (12 + 10 + 14 + 11 + 12 + 9) / 6 = 11 Standard deviation of X (stdX) = √[((12-11)^2 + (10-11)^2 + (14-11)^2 + (11-11)^2 + (12-11)^2 + (9-11)^2) / 6] = √[5.33] ≈ 2.31

For Y: Mean of Y (meanY) = (18 + 17 + 23 + 19 + 20 + 15) / 6 = 18.67 Standard deviation of Y (stdY) = √[((18-18.67)^2 + (17-18.67)^2 + (23-18.67)^2 + (19-18.67)^2 + (20-18.67)^2 + (15-18.67)^2) / 6] = √[4.22] ≈ 2.05

Next, we calculate the covariance (covXY) between X and Y: covXY = [(12-11)(18-18.67) + (10-11)(17-18.67) + (14-11)(23-18.67) + (11-11)(19-18.67) + (12-11)(20-18.67) + (9-11)(15-18.67)] / 6 = -2.33

Finally, we can compute the correlation coefficient (r) using the formula: r = covXY / (stdX * stdY) r = -2.33 / (2.31 * 2.05) ≈ -0.53

Interpretation: BECS 184 Solved Free Assignment 2023 The correlation coefficient (r) between height (X) and weight (Y) is approximately -0.53. This indicates a moderate negative linear relationship between the two variables. As height increases, weight tends to decrease.

Ans (b.) To test the significance of a correlation coefficient, you can perform a hypothesis test. Here’s a step-by-step procedure for testing the significance of a correlation coefficient:

(1) Formulate the hypotheses:

Null Hypothesis (H0): There is no significant correlation between the variables. Alternative Hypothesis (Ha): There is a significant correlation between the variables.

(2) Set the significance level (alpha):

Choose the desired level of significance for the test, commonly denoted as alpha (α). The most common values are 0.05 (5%) or 0.01 (1%).

(3) Calculate the correlation coefficient:

Calculate the correlation coefficient (r) using the appropriate formula. You can use the Pearson correlation coefficient formula for linear relationships.

(4) Determine the critical value:

Look up the critical value corresponding to the chosen significance level and the sample size (degrees of freedom). This critical value is used to determine the threshold for rejecting the null hypothesis.

(5) Calculate the test statistic: BECS 184 Solved Free Assignment 2023

Compute the test statistic (t) using the formula: t = r * sqrt((n – 2) / (1 – r^2)) where n is the sample size.

(6) Determine the p-value:

Calculate the p-value associated with the test statistic. This can be done using a t-distribution table or a statistical software package.

(7) Compare the p-value with the significance level:

If the p-value is less than the chosen significance level (p-value < α), reject the null hypothesis. There is evidence to support the alternative hypothesis, indicating a significant correlation.

If the p-value is greater than or equal to the significance level (p-value ≥ α), fail to reject the null hypothesis. There is insufficient evidence to support a significant correlation.

(8) Interpret the results:

If the null hypothesis is rejected, conclude that there is a significant correlation between the variables. BECS 184 Solved Free Assignment 2023

If the null hypothesis is not rejected, conclude that there is no significant correlation between the variables.

It’s important to note that correlation does not imply causation. A significant correlation only indicates a relationship between the variables but does not establish a cause-and-effect relationship.

Q 2. (a.) A market research firm wants to estimate the share that foreign companies have in Indian market for certain products. A random sample of 100 consumers is obtained and 34 people in the sample are found to be users of foreign made products, the rest are users of domestic products. Give a 95% confidence interval for share of foreign products in the market.

(b) a salesman made a profit of rs. 245 on a showpiece a for which average profit has been rs. 200 with a standard deviation of rs. 50. later on the same day, he made a profit of rs. 620 on a showpiece b for which the average profit has been rs. 500 with a standard deviation of rs. 150. for which of these two models is the salesman’s profit relatively higher..

Ans (a) To estimate the share of foreign products in the market with a 95% confidence interval, you can use the formula for calculating a confidence interval for a proportion. Here’s the step-by-step procedure:

Calculate the sample proportion:

Divide the number of users of foreign-made products (34) by the sample size (100) to obtain the sample proportion (p-hat). p-hat = 34/100 = 0.34

Determine the standard error:

The standard error (SE) represents the variability in the sample proportion and is calculated using the formula: SE = sqrt((p-hat * (1 – p-hat)) / n) where n is the sample size. BECS 184 Solved Free Assignment 2023 SE = sqrt((0.34 * (1 – 0.34)) / 100) ≈ 0.049

Determine the margin of error:

The margin of error represents the range within which the true population proportion is likely to fall. It is calculated by multiplying the standard error by the critical value from the t-distribution based on the desired confidence level.

For a 95% confidence level, the critical value can be obtained from a t-distribution table with (n – 1) degrees of freedom. Since n = 100 and the degrees of freedom is 99, the critical value can be approximated to 1.984.

Margin of Error = Critical Value * SE Margin of Error ≈ 1.984 * 0.049 ≈ 0.097

Calculate the lower and upper bounds of the confidence interval:

Subtract and add the margin of error to the sample proportion to obtain the lower and upper bounds, respectively. Lower Bound = p-hat – Margin of Error Lower Bound = 0.34 – 0.097 ≈ 0.243 Upper Bound = p-hat + Margin of Error Upper Bound = 0.34 + 0.097 ≈ 0.437

Interpret the confidence interval:

With a 95% confidence level, we can say that we are 95% confident that the true share of foreign products in the market lies between approximately 24.3% and 43.7%.

Therefore, the 95% confidence interval for the share of foreign products in the market is approximately 24.3% to 43.7%. BECS 184 Solved Free Assignment 2023

Ans (b) To determine which showpiece model yields a relatively higher profit for the salesman, we need to compare the profits in terms of their relative positions within their respective distributions.

First, let’s calculate the z-scores for each showpiece using the formula:

z = (x – mean) / standard deviation

For showpiece A: Profit = Rs. 245 Mean profit = Rs. 200 Standard deviation = Rs. 50

z_A = (245 – 200) / 50 = 45 / 50 = 0.9

For showpiece B: Profit = Rs. 620 Mean profit = Rs. 500 Standard deviation = Rs. 150

z_B = (620 – 500) / 150 = 120 / 150 = 0.8

The z-score measures the number of standard deviations a data point is from the mean. A higher z-score indicates that the data point is relatively further from the mean.

Comparing the z-scores, we can see that the z-score for showpiece A is 0.9, while the z-score for showpiece B is 0.8.

Since the z-score for showpiece A is higher, it means that the profit of Rs. 245 for showpiece A is relatively higher within its distribution compared to the profit of Rs. 620 for showpiece B within its distribution.

Therefore, the salesman’s profit is relatively higher for showpiece A compared to showpiece B. BECS 184 Solved Free Assignment 2023

Assignment Two

Q 3. a.) Discuss different measures of Central Tendency and the specific situation in which they could be used.

B.) marks of 20 students in economics are: 70, 60, 80, 50, 65, 78, 81, 69, 72, 77, 58, 42, 62, 55, 82, 84, 64, 75, 59, 66 (maximum marks are 100). find the percentage of marks of each student. also find out mean, median and mode using spreadsheet package. (enclose screenshots of the spreadsheet in the assignment)..

Ans (a) There are several measures of central tendency used to describe the center or average of a dataset. The choice of measure depends on the nature of the data and the specific situation.

Here are some common measures of central tendency and their specific use cases:

The mean is calculated by summing all the values in a dataset and dividing by the total number of values.

It is commonly used when the data is normally distributed or symmetric.

It is sensitive to extreme values and can be influenced by outliers.

E xample situation : Calculating the average score of students in a class.

The median represents the middle value in a dataset when it is sorted in ascending or descending order.

It is used when the data is skewed or has outliers.

It is not affected by extreme values. BECS 184 Solved Free Assignment 2023

Example situation: Determining the median income of a population, where a few extremely high or low incomes may exist.

The mode represents the most frequently occurring value(s) in a dataset.

It is used when analyzing categorical or discrete data.

It can be useful when identifying the most common category or value.

Example situation: Finding the mode of transportation used by people in a city.

Geometric Mean:

The geometric mean is used for calculating the average growth rate or when dealing with multiplicative relationships.

It is commonly used in finance, economics, and investment analysis.

It is less sensitive to extreme values.

Example situation: Calculating the average annual growth rate of an investment portfolio.

Weighted Mean: BECS 184 Solved Free Assignment 2023

The weighted mean is used when different values in the dataset have different weights or importance.

It is used in situations where certain values have a greater impact on the overall average.

Example situation: Calculating the weighted GPA of a student, where each course is weighted differently.

It’s important to choose the appropriate measure of central tendency based on the characteristics of the data and the specific question or context of the analysis.

Ans (b) Do yourself Using Spreadsheet

Q 4. Explain the following:

A. non sampling errors b. probability density curve c. type i and type ii errors d. conjoint analysis.

Ans (a) Non-sampling errors refer to errors that occur in the data collection and analysis process that are not related to random sampling. These errors can arise due to various reasons and can impact the quality and accuracy of the results.

Here are some common types of non-sampling errors:

Measurement or Response Errors:

These errors occur when there are inaccuracies or inconsistencies in the way data is measured or recorded.

Examples include errors in data entry, transcription mistakes, misunderstanding of survey questions, or respondent biases.

Non-response Errors:

Non-response errors occur when individuals selected for a survey or study do not participate or fail to provide complete information.

This can introduce bias if non-respondents differ systematically from respondents in terms of the variables being studied. BECS 184 Solved Free Assignment 2023

Selection Bias:

Selection bias occurs when the sample selected does not represent the entire population accurately.

It can happen when certain groups or individuals have a higher or lower chance of being included in the sample, leading to a distorted representation of the population.

Coverage Errors:

Coverage errors arise when some units in the population are not included or are improperly represented in the sampling frame

It can occur due to errors in the sampling frame or incomplete coverage of the target population.

Processing Errors: BECS 184 Solved Free Assignment 2023

Processing errors occur during data processing, data cleaning, or data analysis. These errors can result from mistakes in data entry, data manipulation, or coding errors.

Non-sampling Frame Errors:

Non-sampling frame errors occur when the sampling frame used to select the sample does not accurately represent the target population.

This can happen if the frame is outdated, incomplete, or contains inaccuracies.

Interpretation Errors:

Interpretation errors occur when data is misinterpreted or conclusions are drawn incorrectly from the data.

This can result from mistakes in statistical analysis, faulty assumptions, or miscommunication of findings.

Ans (b) A probability density curve, also known as a probability density function (PDF), is a graphical representation of the probability distribution of a continuous random variable. It provides information about the likelihood of different values occurring within a given range.

Key characteristics of a probability density curve are:

Non-negative values: The curve is always non-negative, meaning the probability cannot be negative for any particular value.

Area under the curve: The total area under the curve represents the probability of the random variable taking any value within the range. The total area is equal to 1.

Probability within a range: The probability of the random variable falling within a specific range can be determined by calculating the area under the curve within that range.

Shape and symmetry: The shape and symmetry of the curve depend on the probability distribution of the random variable. Common probability density curves include the normal distribution (bell-shaped and symmetric), exponential distribution, uniform distribution, and many others.

The probability density curve is typically plotted on a Cartesian plane, with the x-axis representing the values of the random variable and the y-axis representing the probability density.

The curve is smooth and continuous, allowing for any possible value within the range.

The precise equation or formula for the probability density curve varies depending on the specific probability distribution being modeled.

For example, the normal distribution has a well-known formula involving the mean and standard deviation. BECS 184 Solved Free Assignment 2023

Probability density curves are widely used in statistics, probability theory, and data analysis to understand and describe the distribution of continuous random variables.

They provide insights into the likelihood of different values and can be used to make predictions and infer statistical properties of a population.

Ans (c) Type I and Type II errors are two types of mistakes that can occur in hypothesis testing, particularly in the context of statistical hypothesis testing.

Type I Error (False Positive):

A Type I error occurs when the null hypothesis is incorrectly rejected, even though it is true.

It represents the situation where the researcher concludes there is a significant effect or relationship when, in reality, there is none.

The probability of making a Type I error is denoted by alpha (α), which is the significance level set by the researcher.

A lower significance level (e.g., α = 0.05) reduces the chance of Type I errors but increases the likelihood of Type II errors.

Type II Error (False Negative):

A Type II error occurs when the null hypothesis is not rejected, even though it is false.

It represents the situation where the researcher fails to identify a significant effect or relationship when one truly exists.

The probability of making a Type II error is denoted by beta (β).

Power (1 – β) is the complement of Type II error and represents the probability of correctly rejecting the null hypothesis when it is false.

Factors that can influence the likelihood of a Type II error include sample size, effect size, and the chosen significance level.

The trade-off between Type I and Type II errors is commonly illustrated using the concept of the “power” of a statistical test.

Increasing the sample size or choosing a higher significance level (α) can decrease the likelihood of Type II errors but may increase the risk of Type I errors.

It’s important to carefully consider the consequences of both types of errors when designing hypothesis tests and interpreting the results.

The choice of significance level and the desired power of the test should be based on the specific context and consequences of each type of error.

Ans (d) Conjoint analysis is a market research technique used to understand and quantify how individuals make decisions when faced with multiple attributes or features of a product or service.

It aims to determine the relative importance of different attributes and the preferences of consumers. BECS 184 Solved Free Assignment 2023

The basic idea behind conjoint analysis is to present respondents with a series of hypothetical product profiles or scenarios and ask them to rank or rate their preferences.

By systematically varying the levels of different attributes and analyzing the responses, researchers can derive insights into consumers’ decision-making processes and identify the key drivers of their choices.

Here are the key steps involved in conducting conjoint analysis:

Attribute Selection: Identify the relevant attributes that influence consumer decision-making for the product or service under study. Attributes can be tangible features (e.g., price, color, size) or intangible factors (e.g., brand reputation, warranty terms).

Attribute Levels : Determine the specific levels or options for each attribute. For example, if the attribute is price, the levels could be low, medium, and high.

Profile Creation: Create a set of hypothetical product profiles or scenarios by combining different attribute levels. These profiles should represent a range of realistic combinations that cover the attribute space adequately.

Questionnaire Design: Design a questionnaire or survey instrument to present the product profiles to respondents. Different conjoint analysis techniques, such as rating-based, ranking-based, or choice-based, can be employed to gather preference data.

Data Collection: Administer the questionnaire to a sample of respondents, ensuring that an adequate number of responses are collected to ensure statistical validity.

Data Analysis: Analyze the collected data using statistical techniques such as regression analysis, choice modeling, or utility analysis.

The goal is to estimate the relative importance of attributes and determine the utility or value consumers assign to different attribute levels.

Derive Insights: Interpret the results to gain insights into consumer preferences, identify key drivers of choice, and make informed decisions about product design, pricing, and marketing strategies.

Q 5. a.) Frame a short questionnaire to identify social or economic impact of Covid 19 in your locality?

B.) what are the various sources of secondary data.

Ans (a) How has the COVID-19 pandemic affected your employment status? a. Lost job or laid off b. Reduced working hours c. No impact on employment d. Other (please specify)

Have you experienced a decline in your income or financial resources due to COVID-19? a. Yes b. No BECS 184 Solved Free Assignment 2023

How has COVID-19 impacted your daily life and routines? (Select all that apply) a. Restricted mobility and travel b. Closure of businesses and services c. Increased health and safety precautions d. Changes in educational activities e. Other (please specify)

Have you or anyone in your household experienced challenges in accessing essential goods and services during the pandemic? a. Yes b. No

How has COVID-19 affected your mental health and well-being? a. Increased stress and anxiety b. Feelings of isolation and loneliness c. No significant impact d. Other (please specify)

Have you received any financial assistance or support from government programs, NGOs, or community initiatives during the COVID-19 pandemic? a. Yes b. No

Are you aware of any local initiatives or programs aimed at supporting individuals or businesses affected by COVID-19? a. Yes b. No

How has COVID-19 impacted local businesses and the economy in your area? a. Closure of businesses b. Reduced consumer demand c. Increased unemployment d. Other (please specify)

Have you or anyone in your household contracted COVID-19? a. Yes b. No

In your opinion, what are the most significant social or economic challenges faced by your community as a result of COVID-19? (Open-ended question)

Thank you for participating in this questionnaire. Your responses will help us better understand the social and economic impact of COVID-19 in our locality.

Ans (b) Secondary data refers to data that has been previously collected by someone else for a different purpose but can be reused for research or analysis. There are several sources of secondary data, including:

Government and Official Sources: Government agencies and official organizations often collect and publish data on various topics. Examples include national statistical agencies, government reports, census data, economic indicators, and health data.

Research Studies and Academic Sources: Published research studies, dissertations, theses, and academic papers can serve as sources of secondary data.

These sources may provide access to data collected through surveys, experiments, or qualitative research. BECS 184 Solved Free Assignment 2023

Publicly Available Databases: There are numerous publicly accessible databases that provide secondary data. Examples include data repositories maintained by government agencies, international organizations, and research institutions.

These databases cover a wide range of topics, such as economics, health, education, and social sciences.

Online Platforms and Websites: Online platforms and websites often offer datasets and information that can be used as secondary data. Examples include data portals, data aggregators, open data initiatives, and online archives.

Commercial and Market Research Reports: Market research firms and commercial organizations gather and publish data related to market trends, consumer behavior, industry statistics, and demographic information.

These reports can be valuable sources of secondary data for business and market research.

Historical Records and Documents: Historical records, archives, diaries, letters, newspapers, and official documents can provide valuable historical data for research in fields such as history, sociology, and anthropology.

Media Sources: Newspapers, magazines, television broadcasts, and online media platforms can be sources of secondary data, especially for analyzing public opinion, news coverage, and media content.

Organizational Data: Many organizations maintain internal records, databases, and reports that can serve as sources of secondary data. Examples include sales records, customer data, financial reports, and performance metrics.

It is important to critically evaluate the quality, relevance, and reliability of secondary data sources before using them in research.

Researchers should consider the purpose of data collection, the methodology used, the representativeness of the sample, potential biases, and the currency of the data.

Q 6. a.) What are the conditions when t test, F test or Z test are used?

B.) a random sample of 100 recorded deaths in india during the past year showed an average life span of 71.8 years with a standard deviation of 8.9 years. does this seem to indicate that the average life span today is greater than 70 years use a 0.05 level of significance..

Ans (a ) T-test, F-test, and Z-test are statistical tests used in different scenarios based on the characteristics of the data and the research question. Here are the conditions when each test is typically used:

T-test: BECS 184 Solved Free Assignment 2023

T-tests are used when comparing means between two groups or conditions.

Conditions for using a t-test include:

The variable of interest is continuous or approximately normally distributed.
The samples being compared are independent or unrelated.
The variances of the populations being compared are assumed to be equal (for a two-sample t-test) or unknown (for a one-sample t-test).
The sample size is relatively small (typically less than 30) and the population standard deviation is unknown.

F-tests are used to compare variances or test for overall group differences in an analysis of variance (ANOVA) framework.

Conditions for using an F-test include:

The variable of interest is continuous.
The populations being compared have approximately normal distributions.
The samples are taken from populations with equal variances (for a one-way ANOVA) or with unequal variances (for a two-way ANOVA).

Z-tests are used when comparing means or proportions when the population standard deviation is known.

Conditions for using a Z-test include:

The variable of interest is continuous (for mean comparison) or categorical (for proportion comparison).
The population standard deviation is known.
The sample size is relatively large (typically greater than 30) or the population distribution is approximately normal.

It’s important to note that the specific conditions and assumptions for each test may vary depending on the variations and extensions of these tests.

Additionally, the choice of test also depends on the research question and the study design. BECS 184 Solved Free Assignment 2023

It’s recommended to consult statistical resources or a statistical expert to determine the appropriate test for a specific analysis.

Ans (b) To determine whether the average life span today is greater than 70 years, we can conduct a one-sample t-test using the provided sample mean, sample standard deviation, sample size, and the given significance level.

Null hypothesis (H0): The average life span is 70 years. Alternative hypothesis (Ha): The average life span is greater than 70 years.

Here are the steps to perform the hypothesis test:

Set the significance level (α): α = 0.05.

Calculate the test statistic: t = (sample mean – hypothesized mean) / (sample standard deviation / sqrt(sample size)) t = (71.8 – 70) / (8.9 / sqrt(100)) t = 1.8 / (8.9 / 10) t = 1.8 / 0.89 t ≈ 2.02 (rounded to two decimal places)

Determine the critical value:

Since the alternative hypothesis is “greater than,” it is a one-tailed test.

With a significance level of 0.05 and 99 degrees of freedom (sample size – 1), the critical value for a one-tailed test is approximately 1.66 (obtained from t-distribution table or statistical software).

Compare the test statistic with the critical value:

If the test statistic is greater than the critical value, we reject the null hypothesis.

2.02 > 1.66

The test statistic (2.02) is greater than the critical value (1.66), which means we reject the null hypothesis.

Draw a conclusion: BECS 184 Solved Free Assignment 2023 Based on the test, with a 0.05 level of significance, there is sufficient evidence to conclude that the average life span today is greater than 70 years.

Q 7. Differentiate between:

A. quantitative and qualitative research b. phenomenology and ethnography c. techniques of univariate data analysis d. anova and manova.

Ans (a) Quantitative Research:

Quantitative research involves collecting and analyzing numerical data to answer research questions and test hypotheses.
It follows a structured and standardized approach, often using large sample sizes, to ensure generalizability and statistical reliability.
Quantitative research employs various data collection methods, such as surveys, experiments, and existing datasets, to gather data.
Data analysis in quantitative research involves statistical techniques, including descriptive statistics, inferential statistics, regression analysis, and data modeling.
The goal of quantitative research is to provide objective and measurable insights, identify patterns and relationships, and make generalizations about a population.

Qualitative Research:

Qualitative research focuses on understanding and interpreting the experiences, behaviors, and meanings of individuals or groups through non-numerical data.
It utilizes methods such as interviews, observations, focus groups, and document analysis to gather rich and detailed information.
Qualitative research emphasizes the exploration of subjective perspectives, context, and social interactions to gain an in-depth understanding of the research topic.
Data analysis in qualitative research involves coding, categorizing, and interpreting the collected data to identify themes, patterns, and relationships.
The goal of qualitative research is to generate rich descriptions, uncover complexities, and provide a deeper understanding of social phenomena, often in a specific context.

Ans (b) Phenomenology and Ethnography:

Phenomenology: Phenomenology is a qualitative research approach that aims to understand and describe individuals’ lived experiences and their subjective interpretations of those experiences. BECS 184 Solved Free Assignment 2023

It explores the essence of phenomena from the perspective of the participants, focusing on their thoughts, emotions, and meanings attached to specific phenomena.

Ethnography: Ethnography is a qualitative research method that involves the in-depth study of a particular culture or social group.

It involves observing and immersing oneself in the context of the group being studied, collecting data through participant observation, interviews, and document analysis.

Ethnography aims to provide a rich and detailed understanding of the culture, social practices, and perspectives of the participants.

Ans c. Techniques of univariate data analysis:

Univariate data analysis refers to the analysis of a single variable at a time. Various techniques can be employed to analyze and summarize univariate data, including:

Measures of central tendency: Mean, median, and mode are used to describe the central or typical value of a variable.

Measures of dispersion : Range, variance, and standard deviation provide information about the spread or variability of a variable.

Frequency distributions: Creating frequency tables and histograms to summarize the distribution of a variable.

Probability distributions : Analyzing data using different probability distributions, such as the normal distribution, to make inferences and calculate probabilities.

Hypothesis testing : Conducting statistical tests, such as t-tests or chi-square tests, to assess the significance of differences or associations in univariate data.

Ans d. ANOVA and MANOVA: BECS 184 Solved Free Assignment 2023

ANOVA (Analysis of Variance): ANOVA is a statistical technique used to compare means across multiple groups or conditions.

It determines whether there are statistically significant differences between the means by examining the variation between groups and within groups. ANOVA is often used when there are three or more groups to compare.

MANOVA (Multivariate Analysis of Variance): MANOVA is an extension of ANOVA that allows for the analysis of multiple dependent variables simultaneously.

It is used when there are multiple outcome variables, and it assesses whether there are significant differences between groups while controlling for the interrelationships among the dependent variables.

Both ANOVA and MANOVA are parametric statistical tests and require certain assumptions to be met, including normality of the data, homogeneity of variances, and independence of observations.

They are commonly used in experimental and observational research to analyze the effects of independent variables on multiple dependent variable s .

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IGNOU BECS-184 January 2023 - July 2024 - Solved Assignment

Are you looking to download a PDF soft copy of the Solved Assignment BECS-184 - Data Analysis ? Then GullyBaba is the right place for you. We have the Assignment available in English and Hindi language.

This particular Assignment references the syllabus chosen for the subject of Economics , for the January 2023 - July 2024 session. The code for the assignment is BECS-184 and it is often used by students who are enrolled in the BAG, BSC (Honours), BSCG, BA (Honours), BAECH, BAHIH, BAPSH, BAPCH, BAPAH, BASOH, BAEGH, BAHDH Degree.

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IGNOU BECS-184 (January 2023 - July 2024) Assignment Questions

Assignment One

Answer the following questions. Each question carries 20 marks

1. The following table presents the number of hours a group of school students played video games during the weekends and the test scores attained by each of them in a test, the following Monday.

(a.) It is believed that a linear relationship exists between the time spent on playing video games and test score attained. Find out the strength of this linear relationship. (b.) Estimate the line of best fit in the scenario. Use this line to find the expected test score for a student who plays video games for 9 hours.

2. A study involves testing whether or not the amount of caffeine consumed affected memory. Fifteen volunteers took part in this study. They were given three types of drink (type A, B and C) containing different levels of caffeine (50 mg, 100 mg, and 150 mg, respectively). Volunteers were divided into three groups of five each and were assigned the drink group wise. They were then given a memory test (In terms of number of words remembered from a list). The results are given in the following table:

At significance level of 5%, check whether the mean number of words remembered from the list by the participants belonging to the three groups are significantly different.

Assignment Two

Answer the following questions. Each question carries 12 marks.

3. a.) What could be a structured approach to multivariate model building? b.) What are the various assumptions on which the multivariate regression analysis rests?

4. Explain the following:

a. ANOVA and MANOVA a. Normal distribution curve b. Snowball sampling techniques c. Degrees of freedom

5. What is the difference between census and survey? Explain the various stages involved in planning and organizing the censuses and surveys.

6. Differentiate between quantitative and qualitative research in the context of data analysis. Discuss tools of data collection used in qualitative research.

7. Differentiate between:

a. Type I and type II errors b. Phenomenology and Ethnography c. t test and f test d. discrete and continuous variable

IGNOU BECS-184 (July 2022 - January 2023) Assignment Questions

Answer the following questions.

1. (a.) Compute and interpret the correlation coefficient for the following data:

(b) Explain step by step procedure for testing the significance of correlation coefficient.

2. (a.) A market research firm wants to estimate the share that foreign companies have in Indian market for certain products. A random sample of 100 consumers is obtained and 34 people in the sample are found to be users of foreign made products, the rest are users of domestic products. Give a 95% confidence interval for share of foreign products in the market. (b) A salesman made a profit of Rs. 245 on a showpiece A for which average profit has been Rs. 200 with a standard deviation of Rs. 50. Later on the same day, he made a profit of Rs. 620 on a showpiece B for which the average profit has been Rs. 500 with a standard deviation of Rs. 150. For which of these two models is the salesman’s profit relatively higher.

3. a.) Discuss different measures of Central Tendency and the specific situation in which they could be used. b.) Marks of 20 students in Economics are: 70, 60, 80, 50, 65, 78, 81, 69, 72, 77, 58, 42, 62, 55, 82, 84, 64, 75, 59, 66 (Maximum marks are 100). Find the percentage of marks of each student. Also find out mean, median and mode using spreadsheet package. (Enclose screenshots of the spreadsheet in the assignment).

a. Non sampling errors b. Probability density curve c. Type I and type II errors d. Conjoint Analysis

5. a.) Frame a short questionnaire to identify social or economic impact of Covid 19 in your locality? b.) What are the various sources of Secondary data?

6. a.) What are the conditions when t test, F test or Z test are used? b.) A random sample of 100 recorded deaths in India during the past year showed an average life span of 71.8 years with a standard deviation of 8.9 years. Does this seem to indicate that the average life span today is greater than 70 years? Use a 0.05 level of significance.

a. Quantitative and Qualitative Research b. Phenomenology and Ethnography c. Techniques of univariate data analysis d. ANOVA and MANOVA

IGNOU BECS-184 (July 2023 - January 2024) Assignment Questions

सत्रीय कार्य - 1

निम्नलिखित प्रश्नों का उत्तर दें। प्रत्येक प्रश्न 20 अंक का है।

1. निम्नलिखित तालिका सप्ताहांत के दौरान किसी स्कूल के विद्यार्थियों द्वारा खेले गए वीडियो गेम के घंटों की संख्या तथा उनके सोमवार के टेस्ट स्कोर्स को दिखाती है:

क) ऐसा माना जाता है कि वीडियो गेम खेलने में लगाए गए समय तथा प्राप्त टेस्ट स्कोर के बीच रेखीय सम्बन्ध है। इस रेखीय सम्बन्ध का परिमाण ज्ञात कीजिए । ख) इस परिदृश्य में श्रेष्ठ आसंजन रेखा (line of best fit) का आंकलन कीजिए। एक ऐसे विद्यार्थी जिसने 9 घंटे का वीडियो गेम खेला हो उसका प्रत्याशित टेस्ट स्कोर ज्ञात करने के लिए इस रेखा का प्रयोग कीजिए।

2. क) इस बात को लेकर एक शोध अध्ययन किया गया कि क्या उपभोग की गई कैफीन की मात्रा याददाश्त को प्रभावित करती है? इस अध्ययन में 15 प्रतिभागियों ने हिस्सा लिया। इन्हें तीन प्रकार के (A, B तथा C) पेय दिये गये जिनमें कैफीन की मात्रा के तीन स्तर (50mg, 100 mg तथा 150 mg) थे। प्रतिभागियों को 5-5 के समूह बनाकर तीन भागों में विभक्त किया गया। उन्हें एक स्मृति परीक्षण दिया गया। इसके परिणाम निम्नलिखित तालिका में दिये गये हैं:

5% के सार्थकता स्तर पर परीक्षण कीजिए कि तीनों समूहों से सम्बन्धित प्रतिभागियों द्वारा याद रखे गये औसत शब्दों की संख्या महत्वपूर्ण रूप से भिन्न है।

सत्रीय कार्य-2

निम्नलिखित प्रश्नों का उत्तर दें। प्रत्येक प्रश्न 12 अंक का है।

3. क ) बहुचर प्रतिमान निर्माण हेतु संरचनात्मक दृष्टिकोण क्या हो सकता है? ख) बहुचर प्रतीपगमन विश्लेषण किन मान्यताओं पर आधारित है?

4. निम्नलिखित की व्याख्या करें

क) ANOVA और MANOVA ख) प्रसामान्य वितरण वक्र ग) व्यापक ( स्नोबॉल) नमूना प्रतिचयन तकनीकें घ) स्वतन्त्रता कोटि

5. जनगणना और सर्वेक्षण में क्या अंतर है? जनगणनाओं और सर्वेक्षणों की योजना बनाने और उन्हें व्यवस्थित करने में शामिल विभिन्न चरणों की व्याख्या कीजिए ।

6. डेटा विश्लेषण के संदर्भ में मात्रात्मक और गुणात्मक शोध के बीच अंतर करें गुणात्मक अनुसंधान में उपयोग किए जाने वाले डेटा संग्रह के उपकरणों पर चर्चा कीजिए।

7. निम्नलिखित के बीच अंतर बतायें:

क) टाइप 1 और टाइप II त्रुटियाँ ख) घटना विज्ञान (phenomenology) और नृवंशविज्ञान ( ethnography) ग) टी टेस्ट (t test) और एफ टेस्ट (f test) घ) असतत् और सतत् चर

सत्रीय कार्य 1

1. क) निम्नलिखित डेटा के लिए सहसंबंध गुणांक की गणना और निर्वचन करें:

ख) सहसंबंध गुणांक के महत्त्व (significance level) के परीक्षण के लिए चरण दर चरण प्रक्रिया की व्याख्या करें।

2. क) एक बाज़ार अनुसंधान फर्म कुछ उत्पादों के लिए भारतीय बाज़ार में विदेशी कंपनियों के हिस्से का अनुमान लगाना चाहती है। 100 उपभोक्ताओं का एक न्यादर्श नमूना ( random sample) प्राप्त किया जाता है और नमूने में 34 लोग विदेशी निर्मित उत्पादों के उपभोगकर्ता पाए जाते हैं; शेष घरेलू उत्पादों के उपयोगकर्ता हैं। बाज़ार में विदेशी उत्पादों की हिस्सेदारी के लिए 95% विश्वास अंतराल दें। ख) एक सेल्समैन ने एक प्रदर्शन वस्तु (show piece) A पर रु.245 का लाभ कमाया, जिसके लिए रु.50 के मानक विचलन के साथ औसत लाभ रु.200 रहा है। बाद में उसी दिन, उन्होंने एक प्रदर्शन वस्तु / शोपीस B पर रु. 620 का लाभ कमाया, जिसके लिए रु.150 के मानक विचलन के साथ औसत लाभ रु.500 रहा है। इन दोनों शोपीस में से विक्रेता को किसमें अपेक्षाकृत अधिक लाभ है ?

सत्रीय कार्य - 2

3. क) केंद्रीय प्रवृत्ति ( central tendency) के विभिन्न उपायों और विशिष्ट स्थिति पर चर्चा करें जिसमें उनका उपयोग किया जा सकता है। ख) अर्थशास्त्र में 20 छात्रों के अंक हैं 70, 60, 80, 50, 65, 78, 81, 69, 72, 77, 58, 42, 62, 55, 82, 84, 64, 75, 59, 66 (अधिकतम अंक 100 है) प्रत्येक छात्र के अंकों का प्रतिशत ज्ञात कीजिए । स्प्रेडशीट पैकेज का उपयोग करके माध्य, माध्यिका और बहुलक (mode ) का भी पता लगाएं। सत्रीय कार्य में स्प्रेडशीट संलग्न करें।

4. निम्नलिखित की व्याख्या करें:

क) गैर - नमूना त्रुटियाँ (non-sampling errors) ख) प्रायिकता घनत्व वक्र (probability density curve ) ग) टाइप I और टाइप II त्रुटियाँ घ) संयुक्त विश्लेषण (conjoint analysis)

5. क) अपने इलाके में कोविड 19 के सामाजिक या आर्थिक प्रभाव की पहचान करने के लिए एक छोटी प्रश्नावली तैयार करें ख) द्वितीयक आँकड़ों के विभिन्न स्रोत क्या हैं?

6. क) किन स्थितियों में T टेस्ट, F टेस्ट और Z टेस्ट का प्रयोग किया जाता है? ख) पिछले वर्ष के दौरान भारत में दर्ज की गई 100 मौतों के एक यादृच्छिक नमूने ( random sample) ने 8.9 वर्षों के मानक विचलन के साथ औसत जीवनकाल 71.8 वर्ष दिखाया । क्या इससे यह संकेत मिलता है कि आज का औसत जीवनकाल 70 वर्ष से अधिक है? महत्त्व के 0.05 स्तर (0.05 level of significance ) का प्रयोग करें।

7. निम्नलिखित के बीच अंतर बतायें :

क) मात्रात्मक और गुणात्मक अनुसंधान ख) घटना विज्ञान (phenomenology) और नृवंशविज्ञान ( ethnography) ग) एकचरीय डेटा विश्लेषण की तकनीकें घ) ANOVA और MANOVA

BECS-184 Assignment Details

University IGNOU (Indira Gandhi National Open University)
Title Data Analysis
Language(s) English and Hindi
Session January 2023 - July 2024
Code BECS-184
Subject Economics
Degree(s) BAG , BSC (Honours) , BSCG , BA (Honours) , BAECH , BAHIH , BAPSH , BAPCH , BAPAH , BASOH , BAEGH , BAHDH
Course Skill Enhancement Courses (SEC)
Author Gullybaba.com Panel
Publisher Gullybaba Publishing House Pvt. Ltd.

Assignment Submission End Date

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30th April (if Enrolled in the June Exams)
31st October (if Enrolled in the December Exams).

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January 2023 - July 2024 26 Pages (0.00 ), PDF Format SKU: IGNGB-AS-BAH-BECS184-EN-458
July 2022 - January 2023 34 Pages (0.00 ), PDF Format SKU: IGNGB-AS-BAH-BECS184-EN-324

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July 2023 - January 2024 26 Pages (0.00 ), PDF Format SKU: IGNGB-AS-BAH-BECS184-HI-396
July 2022 - January 2023 32 Pages (0.00 ), PDF Format SKU: IGNGB-AS-BAH-BECS184-HI-324

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IGNOU BECS-184 Previous Year Question Papers

May 18, 2023

If you are looking for IGNOU BECS-184 previous year question papers entitled “ Data Analysis ” for the IGNOU BAG/ Bachelor of Science (BSCG) / Bachelor of Arts (Honours) / Bachelor of Science (Honours) Economics , onvenience. these BECS-184 previous year question papers will help you for your upcoming exams preparation. The papers are available in both English and Hindi language in the same pdf.

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If you are looking for BECS-184 IGNOU Study Material or Textbook entitled Data Analysis you have come to the right place. This is because eGyankosh allows you to download single units at a time but we provide you with the fully combined pdf with all blocks and units. Click on the image or the button below to download the study material for free! We have also provided you with an option to get verified and easy to understand guide books from Gyaniversity Publications which contain answers to previous year questions, predicted list of most important questions for upcoming term end exams, paper pattern, etc. The books are applicable for the following course(s) in IGNOU: Bachelor of Arts (General - CBCS), Bachelor of Science (General), Bachelor of Arts (Honours) Economics, Bachelor of Arts (Honours) History, Bachelor of Arts (Honours) Political Science, Bachelor of Arts (Honours) Public Administration, Bachelor of Arts (Honours) Psychology, Bsc in Anthropology (BAG, BAECH, BAHIH, BAPSH, BAPCH, BAPAH, BASOH, BAEGH, BSCG, BSCANH)

BECS-184: Data Analysis

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IGNOU textbook for BECS-184: Data Analysis is freely available to all students. However, it is very long, confusing and hard to understand. If you are a busy working professional looking to pass your exams easily, we suggest you to go for Guidebooks made by Gyaniversity Publications instead as they are prepared using historical data from previous 20 question papers. They provide you with accurate list of the important questions are most likely to appear in your upcoming exams along with proof points based on previous year exam questions. The answers are written in simple English too. This helps you pass your exams easily!

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IGNOU BECS-184 Solved Assignment English Medium 2023-24

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IGNOU BECS 184 Solved Assignment 2022-23

IGNOU BECS 184 Solved Assignment 2022-2023 , BECS 184 DATA ANALYSIS Solved Assignment 2022-23 Download Free : BECS 184 Solved Assignment 2022-2023 , IGNOU BECS 184 Assignment 2022-23, BECS 184 Assignment 2022-23 , BECS 184 Assignment , BECS 184 DATA ANALYSIS Solved Assignment 2022-23 Download Free IGNOU Assignments 2022-23- Political Science Assignment 2022-23 Gandhi National Open University had recently uploaded the assignments of the present session for BA Political Science Programme for the year 2022-23. Students are recommended to download their Assignments from this webpage itself. Study of Political Science is very important for every person because it is interrelated with the society and the molar values in today culture and society. IGNOU solved assignment 2022-23 ignou dece solved assignment 2022-23, ignou ma sociology assignment 2022-23 meg 10 solved assignment 2022-23 ts 6 solved assignment 2022-23 , meg solved assignment 2022-23 .

1 IGNOU BECS 184 Solved Assignment 2022-2023
2 Q.1. 1. (a.) Compute and interpret the correlation coefficient for the following data:
4 (b) Explain step by step procedure for testing the significance of correlation coefficient.
5 Q.2. (a.) A market research firm wants to estimate the share that foreign companies have in Indian market for certain products. A random sample of 100 consumers is obtained and 34 people in the sample are found to be users of foreign made products, the rest are users of domestic products. Give a 95% confidence interval for share of foreign products in the market.
6 (b) A salesman made a profit of Rs. 245 on a showpiece A for which average profit has been Rs. 200 with a standard deviation of Rs. 50. Later on the same day, he made a profit of Rs. 620 on a showpiece B for which the average profit has been Rs. 500 with a standard deviation of Rs. 150. For which of these two models is the salesman’s profit relatively higher.
7 3. a.) Discuss different measures of Central Tendency and the specific situation in which they could be used.
8 b.) Marks of 20 students in Economics are: 70, 60, 80, 50, 65, 78, 81, 69, 72, 77, 58, 42, 62, 55, 82, 84, 64, 75, 59, 66 (Maximum marks are 100). Find the percentage of marks of each student. Also find out mean, median and mode using spreadsheet package. (Enclose screenshots of the spreadsheet in the assignment).
9 4. Explain the following: a. Non sampling errors b. Probability density curve c. Type I and type II errors d. Conjoint Analysis
10 5. a.) Frame a short questionnaire to identify social or economic impact of Covid 19 in your locality? b.) What are the various sources of Secondary data?
11 6. a.) What are the conditions when t test, F test or Z test are used? b.) A random sample of 100 recorded deaths in India during the past year showed an average life span of 71.8 years with a standard deviation of 8.9 years. Does this seem to indicate that the average life span today is greater than 70 years? Use a 0.05 level of significance.
12 7. Differentiate between: a. Quantitative and Qualitative Research b. Phenomenology and Ethnography c. Techniques of univariate data analysis d. ANOVA and MANOVA
13.1 IGNOU Instructions for the BECS 184 DATA ANALYSIS Solved Assignment 2022-23
14 GUIDELINES FOR IGNOU Assignments 2022-23
15 IGNOU Assignment Front Page
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IGNOU BECS 184 Solved Assignment 2022-2023

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Important Note – IGNOU BECS 184 Solved Assignment 2022-2023 Download Free You may be aware that you need to submit your assignments before you can appear for the Term End Exams. Please remember to keep a copy of your completed assignment, just in case the one you submitted is lost in transit.

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Submission Date :

31st March 2033 (if enrolled in the July 2033 Session)
30th Sept, 2033 (if enrolled in the January 2033 session).

Answer the following questions. Each question carries 20 marks in Assignment one. Answer the following questions. Each question carries 12 marks in Assignment two.

Assignment One

Q.1. 1. (a.) Compute and interpret the correlation coefficient for the following data:

(b) explain step by step procedure for testing the significance of correlation coefficient. .

IGNOU BECS 184 Solved Assignment 2022-2023 We provide handwritten PDF and Hardcopy to our IGNOU and other university students. There are several types of handwritten assignment we provide all Over India. BECS 184 DATA ANALYSIS Solved Assignment 2022-23 Download Free We are genuinely work in this field for so many time. You can get your assignment done – 8130208920

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Q.2. (a.) A market research firm wants to estimate the share that foreign companies have in Indian market for certain products. A random sample of 100 consumers is obtained and 34 people in the sample are found to be users of foreign made products, the rest are users of domestic products. Give a 95% confidence interval for share of foreign products in the market.

Assignment Two

3. a.) Discuss different measures of Central Tendency and the specific situation in which they could be used.

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SECTION – II

4. Explain the following: a. Non sampling errors b. Probability density curve c. Type I and type II errors d. Conjoint Analysis

5. a.) frame a short questionnaire to identify social or economic impact of covid 19 in your locality b.) what are the various sources of secondary data, 6. a.) what are the conditions when t test, f test or z test are used b.) a random sample of 100 recorded deaths in india during the past year showed an average life span of 71.8 years with a standard deviation of 8.9 years. does this seem to indicate that the average life span today is greater than 70 years use a 0.05 level of significance., 7. differentiate between: a. quantitative and qualitative research b. phenomenology and ethnography c. techniques of univariate data analysis d. anova and manova, get becs 184 solved assignment 2022-23 download free now here from this website ..

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IGNOU Instructions for the BECS 184 DATA ANALYSIS Solved Assignment 2022-23

IGNOU BECS 184 Solved Assignment 2022-2023 Download Free Before attempting the assignment, please read the following instructions carefully.

Read the detailed instructions about the assignment given in the Handbook and Programme Guide.
Write your enrolment number, name, full address and date on the top right corner of the first page of your response sheet (s).
Write the course title, assignment number and the name of the study centre you are attached to in the centre of the first page of your response sheet (s).
Use only foolscap size paper for your response and tag all the pages carefully
Write the relevant question number with each answer.
You should write in your own handwriting .

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IGNOU BECS 184 Solved Assignment 2022-23 You will find it useful to keep the following points in mind:

Planning: Read the questions carefully. IGNOU BECS 184 Assignment 2022-23 Download Free Download PDF Go through the units on which they are based. Make some points regarding each question and then rearrange these in a logical order. And please write the answers in your own words. Do not reproduce passages from the units.
Organisation: Be a little more selective and analytic before drawing up a rough outline of your answer. In an essay-type question, give adequate attention to your introduction and conclusion. IGNOU BECS 184 Solved Assignment 2022-2023 Download Free Download PDF The introduction must offer your brief interpretation of the question and how you propose to develop it. The conclusion must summarise your response to the question. In the course of your answer, you may like to make references to other texts or critics as this will add some depth to your analysis.
Presentation: IGNOU BECS 184 Solved Assignment 2022-2023 Download Free Download PDF Once you are satisfied with your answers, you can write down the final version for submission, writing each answer neatly and underlining the points you wish to emphasize.

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BECS 184 Handwritten Assignment 2022-23

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BECS-184 आँकड़ा विश्लेषण in Hindi Previous Year Question Papers

Becs-184 आँकड़ा विश्लेषण previous year question papers.

The Term-End Exam schedule is released prior to the IGNOU exam by the Indira Gandhi National Open University (IGNOU). IGNOU BECS-184 Previous Year Question Paper Download in PDF | BECS-184 Important Questions | IGNOU आँकड़ा विश्लेषण Previous Year Exam Question Paper, Guess Paper & Sample Paper, and Download in English & Hindi Medium. Students who will be taking the IGNOU Term and Examination should finish the entire syllabus and begin studying for the test. IGNOU students should practice the questions from last year. This enhances the chance that learners will receive good grades on their Exam papers.

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The advantages of studying IGNOU’s previous year’s question papers are given below:

You can prepare for that by looking at the previous year’s question papers, determining the kind of questions you can ask in the Exam, and anticipating their appearance.
The best way is to solve the questionnaire, you can download the old question paper from IGNOU and solve it.
By practicing the previous year’s question papers of IGNOU, students can increase their capacity.
It helps to understand the marking scheme of the exam and the weightage of each chapter.
It helps to increase the knowledge about the topics and understand the concepts better.
It helps to develop the habit of solving the questions within the given time limit.

Can I get good marks by solving the previous year’s paper and will it help me for the exam?

Solving the Question Paper & Sample paper help increase your marks in the Exam.
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IGNOU BECS 184 Solved Free Assignment 2023

BECS 184 Solved Free Assignment 2023

(a.) Compute and interpret the correlation coefficient for the following data:

Q 3. a.) Discuss different measures of Central Tendency and the specific situation in which they could be used.

Q 4. Explain the following:

Q 5. a.) Frame a short questionnaire to identify social or economic impact of Covid 19 in your locality?

Q 6. a.) What are the conditions when t test, F test or Z test are used?

Q 7. Differentiate between:

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IGNOU BECS 184 Solved Assignment 2022-23

IGNOU BECS 184 Solved Assignment 2022-2023

Q.1. 1. (a.) Compute and interpret the correlation coefficient for the following data:

3. a.) Discuss different measures of Central Tendency and the specific situation in which they could be used.

4. Explain the following: a. Non sampling errors b. Probability density curve c. Type I and type II errors d. Conjoint Analysis

IGNOU Instructions for the BECS 184 DATA ANALYSIS Solved Assignment 2022-23

GUIDELINES FOR IGNOU Assignments 2022-23

IGNOU Assignment Front Page

BECS 184 Handwritten Assignment 2022-23

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