Question 1

When sample size (n)is larger than ____,the t-distribution and Z-distribution are almost identical.

Accepted Answer

A) 10 
B) 20 
C) 25 
D) 30 
A) 10 
B) 20 
C) 25 
D) 30 D

Question 2

A Type I error occurs when you fail to reject the null hypothesis when the alternative hypothesis is true.

Accepted Answer

A) True 
 B)False  False

Question 3

Explain the appropriate statistical analysis for the following hypothesis:
H₁: The average household income in zip code 71227 is greater than $50,000.

Accepted Answer

This is a univariate hypothesis dealing with one variable: income.Univariate hypotheses are typified by tests comparing some observed sample mean against a benchmark value.The test addresses the question,is the sample mean truly different from the benchmark? The level of scale measurement is ratio scaled,and if the sample size is large,parametric statistical procedures are appropriate.In this case,a univariate t-test is appropriate for testing this hypothesis because in involves an observed mean income against the value of $50,000.

Question 4

Compare and contrast Type I errors and Type II errors and explain which one is of more concern to researchers.

Accepted Answer

Hypothesis testing using sample observat

Question 5

Alan is testing a hypothesis and is examining the data to determine whether or not the observed relationship between background music in a store and sales are significantly related.Which of the following will he use to determine the significance level of the results?

Accepted Answer

A) χ 
B) ε 
C) y-value 
D) p-value 
A) χ 
B) ε 
C) y-value 
D) p-value

Question 6

____________________ is a measure of how much ability exists to find a significant effect using a specific statistical tool and is equal to 1 -b.

Accepted Answer

The answer of ____________________ is a measure of how much...

Question 7

You have not made a mistake if the null hypothesis is false,and you decide to reject the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 8

In hypothesis testing,the values of t that lie on the boundary of the region of rejection are called the critical values.

Accepted Answer

A) True 
 B)False

Question 9

A hypothesis test of a proportion is conceptually similar to hypothesis testing when the mean is the characteristic of interest.

Accepted Answer

A) True 
 B)False

Question 10

Another name for an observed or computed significance level is ____________________.

Accepted Answer

The answer of Another name for an observed or computed...

Question 11

Suppose that a group of 100 consumers are asked to rate how much they liked the taste of a new soft drink on a 5-point scale (where 5 = good taste and 1 = poor taste)and the mean rating was 4.2 with a standard deviation of 1.48.Suppose,further,that the standard error of the mean for this study was 0.15.If you wanted to find the 95 percent confidence interval (two-tailed test),and if the Z-value at the 0.05 level of significance is 1.96,the confidence interval lies between:

Accepted Answer

A) 3.91 and 4.49 
B) 4.17 and 4.23 
C) 3.98 and 4.42 
D) 4.00 and 5.00 
A) 3.91 and 4.49 
B) 4.17 and 4.23 
C) 3.98 and 4.42 
D) 4.00 and 5.00

Question 12

Compare and contrast parametric statistics and nonparametric statistics.

Accepted Answer

The terms parametric statistics and nonp

Question 13

Laura has a frequency table with the number of stores in three different categories: stand-alone,shopping center,and mall locations.Which statistical test is appropriate for testing hypothesizes she might have regarding these frequencies?

Accepted Answer

A) β test 
B) χ² test 
C) α test 
D) γ test 
A) β test 
B) χ² test 
C) α test 
D) γ test

Question 14

A significance level is a critical probability associated with a statistical hypothesis test that indicates how likely it is that an inference supporting a difference between an observed value and some statistical expectation is true.

Accepted Answer

A) True 
 B)False

Question 15

In a brand awareness study of 80 consumers,52 of them were able to identify "Fusion" as a type of Ford automobile.The chi-square value for a test of this brand awareness was approximately:

Accepted Answer

A) 2.30 
B) 7.20 
C) 0.60 
D) 3.60 
A) 2.30 
B) 7.20 
C) 0.60 
D) 3.60

Question 16

The error caused by failing to reject the null hypothesis when,in fact,the alternative hypothesis is true is called a(n)____________________ error.

Accepted Answer

The answer of The error caused by failing to reject...

Question 17

A univariate p-test is appropriate for testing hypotheses involving some observed mean against some specified value.

Accepted Answer

A) True 
 B)False

Question 18

For a one-group t-test,the degrees of freedom are:

Accepted Answer

A) n + 1 
B) n(n - 1) 
C) n - 1 
D) n(n + 1) 
A) n + 1 
B) n(n - 1) 
C) n - 1 
D) n(n + 1)

Question 19

The t-distribution has a mean of ____ and a standard deviation of ____.

Accepted Answer

A) one;zero 
B) zero;one 
C) one;two 
D) two;one 
A) one;zero 
B) zero;one 
C) one;two 
D) two;one

Question 20

The logic behind the chi-square test is to compare the observed frequencies with the expected frequencies in the data set.

Accepted Answer

A) True 
 B)False

Exam 21: Univariate Statistical Analysis

When sample size (n)is larger than ____,the t-distribution and Z-distribution are almost identical.

A Type I error occurs when you fail to reject the null hypothesis when the alternative hypothesis is true.

Explain the appropriate statistical analysis for the following hypothesis: H₁: The average household income in zip code 71227 is greater than $50,000.

Compare and contrast Type I errors and Type II errors and explain which one is of more concern to researchers.

Alan is testing a hypothesis and is examining the data to determine whether or not the observed relationship between background music in a store and sales are significantly related.Which of the following will he use to determine the significance level of the results?

____________________ is a measure of how much ability exists to find a significant effect using a specific statistical tool and is equal to 1 -b.

You have not made a mistake if the null hypothesis is false,and you decide to reject the null hypothesis.

In hypothesis testing,the values of t that lie on the boundary of the region of rejection are called the critical values.

A hypothesis test of a proportion is conceptually similar to hypothesis testing when the mean is the characteristic of interest.

Another name for an observed or computed significance level is ____________________.

Compare and contrast parametric statistics and nonparametric statistics.

Laura has a frequency table with the number of stores in three different categories: stand-alone,shopping center,and mall locations.Which statistical test is appropriate for testing hypothesizes she might have regarding these frequencies?

A significance level is a critical probability associated with a statistical hypothesis test that indicates how likely it is that an inference supporting a difference between an observed value and some statistical expectation is true.

In a brand awareness study of 80 consumers,52 of them were able to identify "Fusion" as a type of Ford automobile.The chi-square value for a test of this brand awareness was approximately:

The error caused by failing to reject the null hypothesis when,in fact,the alternative hypothesis is true is called a(n)____________________ error.

A univariate p-test is appropriate for testing hypotheses involving some observed mean against some specified value.

For a one-group t-test,the degrees of freedom are:

The t-distribution has a mean of ____ and a standard deviation of ____.

The logic behind the chi-square test is to compare the observed frequencies with the expected frequencies in the data set.

The Role of Marketing Research

Information Systems and Knowledge Management

The Marketing Research Process

The Human Side of Marketing Research: Organizational and Ethical Issues

Problem Definition: Jump-Starting the Research Process

Qualitative Research Tools

Secondary Data Research in a Digital Age

Survey Research: an Overview

Survey Research: Basic Methods of Communication With Respondents

Observation

Experimental Research: An Overview

Test Markets and Experimental Design

Measurement

Attitude Measurement

Questionnaire Design

Sampling Designs and Sampling Procedures

Determination of Sample Size: A Review of Statistical Theory

Fieldwork

Editing and Coding: Transforming Raw Data Into Information

Basic Data Analysis: Descriptive Statistics

Bivariate Statistical Analysis: Differences Between Two Variables

Bivariate Statistical Analysis: Measures of Association

Introducing Multivariate Statistical Analysis

Communicating Research Results: Research Report, oral Presentation, and Research Follow-Up

Filters

The t-distribution has a mean of and a standard deviation of .