Question 1

The standard error of the mean is the same as the

Accepted Answer

A) standard deviation of the population 
B) standard deviation of the normal distribution 
C) standard deviation of the sampling distribution 
D) none of the above 
A) standard deviation of the population 
B) standard deviation of the normal distribution 
C) standard deviation of the sampling distribution 
D) none of the above

Question 2

Consider the following four statements: 1.The distribution of the mean of a random sample approaches the normal distribution as the sample size increases, only if the parent population is normally distributed. 2-The distribution of the mean of a random sample taken from a normal population is normal, irrespective of the sample size. 3-The distribution of the mean of a random sample taken from practically any population approaches the normal distribution as the sample size increases. 4-The distribution of the mean of a random sample taken from practically any population is normal, irrespective of the sample size. Which of the above statements is/are true?

Accepted Answer

A) Only 1 
B) 2 and 3 
C) 2 and 4 
D) Only 3 
E) None of the above 
A) Only 1 
B) 2 and 3 
C) 2 and 4 
D) Only 3 
E) None of the above

Question 3

If the population variance is 4, the sample standard deviation must be 2.

Accepted Answer

A) True 
 B)False

Question 4

A 95 percent confidence interval will be smaller than a 90 percent confidence interval.

Accepted Answer

A) True 
 B)False

Question 5

Two samples are drawn from the same population with a known variance, $\sigma$2.If the sample sizes are 100 and 400, then the standard error of the mean of the former sample will be half that of the latter.

Accepted Answer

A) True 
 B)False

The standard error of the mean is the same as the

If the population variance is 4, the sample standard deviation must be 2.

A 95 percent confidence interval will be smaller than a 90 percent confidence interval.

Two samples are drawn from the same population with a known variance, $\sigma$ ².If the sample sizes are 100 and 400, then the standard error of the mean of the former sample will be half that of the latter.

A Decision Making Perspective on Marketing Intelligence

Marketing Research in Practice

The Marketing Research Process

Research Design and Implementation

Secondary Sources of Marketing Data

Standardized Sources of Marketing Data

Marketing Research on the Internet

Information Collection: Qualitative and Observational Methods

Information From Respondents: Issues in Data Collection

Information From Respondents: Survey Methods

Ttitude Measurement

Signing the Questionnaire

Xperimentation

Sampling Fundamentals

Fundamentals of Data Analysis

Hypothesis Testing: Basic Concepts and Tests of Association

Hypothesis Testing: Means and Proportions

Correlation Analysis and Regression Analysis

Iscriminant, Factor and Cluster Analysis

Multidimensional Scaling and Conjoint Analysis

Presenting the Results

Marketing-Mix Measures

Ontemporary Applications of Marketing Intelligence

Atabase Marketing, E-Commerce, Relationship

Filters

Exam 15: Sample Size and Statistical Theory

The standard error of the mean is the same as the

If the population variance is 4, the sample standard deviation must be 2.

A 95 percent confidence interval will be smaller than a 90 percent confidence interval.

Two samples are drawn from the same population with a known variance, σ\sigmaσ 2.If the sample sizes are 100 and 400, then the standard error of the mean of the former sample will be half that of the latter.

A Decision Making Perspective on Marketing Intelligence

Marketing Research in Practice

The Marketing Research Process

Research Design and Implementation

Secondary Sources of Marketing Data

Standardized Sources of Marketing Data

Marketing Research on the Internet

Information Collection: Qualitative and Observational Methods

Information From Respondents: Issues in Data Collection

Information From Respondents: Survey Methods

Ttitude Measurement

Signing the Questionnaire

Xperimentation

Sampling Fundamentals

Fundamentals of Data Analysis

Hypothesis Testing: Basic Concepts and Tests of Association

Hypothesis Testing: Means and Proportions

Correlation Analysis and Regression Analysis

Iscriminant, Factor and Cluster Analysis

Multidimensional Scaling and Conjoint Analysis

Presenting the Results

Marketing-Mix Measures

Ontemporary Applications of Marketing Intelligence

Atabase Marketing, E-Commerce, Relationship

Filters

Two samples are drawn from the same population with a known variance, $\sigma$ ².If the sample sizes are 100 and 400, then the standard error of the mean of the former sample will be half that of the latter.