Question 1

Lambda assumes that the variables are measured on an ordinal scale.

Accepted Answer

A) True 
 B)False

Question 2

In the parametric case of means for two independent samples, the hypotheses take which form?
A) H0: a12 = a22 H1: a12 × a22

Accepted Answer

Question 3

In tests of associations, the null hypothesis is that there is no association between the variables (H0:......is NOT related to. ).

Accepted Answer

A) True 
 B)False

Question 4

Which statement is not correct about the null hypothesis?

Accepted Answer

A)  Accepting the null hypothesis will lead to some changes in opinions or action. 
B)  In marketing research, the null hypothesis is formulated in such a way that rejection leads to the acceptance of the desired conclusion. 
C)  It is always the hypothesis tested. 
D)  It can never be accepted based on a single statistical test. 
A)  Accepting the null hypothesis will lead to some changes in opinions or action. 
B)  In marketing research, the null hypothesis is formulated in such a way that rejection leads to the acceptance of the desired conclusion. 
C)  It is always the hypothesis tested. 
D)  It can never be accepted based on a single statistical test.

Question 5

Which program or function listed below is not useful for conducting nonparametric tests?

Accepted Answer

A)  NPAR TESTS 
B)  Stat>Time Series 
C)  NPAR1WAY 
D)  none of the above 
A)  NPAR TESTS 
B)  Stat>Time Series 
C)  NPAR1WAY 
D)  none of the above

Question 6

The F statistic is computed as the ratio of two sample variances.

Accepted Answer

A) True 
 B)False

Question 7

Mean, median, and mode are measures of variability.

Accepted Answer

A) True 
 B)False

Question 8

is a test statistic that measures the association between two ordinal- level variables. It makes an adjustment for ties and is most appropriate when the table of variable is square.

Accepted Answer

A)  Symmetric lambda 
B)  Tau c 
C)  Tau b 
D)  Gamma 
A)  Symmetric lambda 
B)  Tau c 
C)  Tau b 
D)  Gamma

Question 9

is an average of the two asymmetric lambda values. It does not make an assumption about which variable is dependent.

Accepted Answer

A)  Tau b 
B)  Tau c 
C)  Symmetric lambda 
D)  Gamma 
A)  Tau b 
B)  Tau c 
C)  Symmetric lambda 
D)  Gamma

Question 10

A statistical technique that describes two or more variables simultaneously and results in tables that reflect the joint distribution of two or more variables that have a limited number of categories or distinct values is a .

Accepted Answer

A)  parametric test 
B)  cross- tabulation 
C)  non- parametric test 
D)  t test 
A)  parametric test 
B)  cross- tabulation 
C)  non- parametric test 
D)  t test

Question 11

Which of the following statements is not correct about the alternative hypothesis?

Accepted Answer

A)  The alternative hypothesis is the opposite of the null hypothesis. 
B)  There is no way to determine whether the alternative hypothesis is true. 
C)  The alternative hypothesis represents the conclusion for which evidence is sought. 
D)  None of the statements is correct. 
A)  The alternative hypothesis is the opposite of the null hypothesis. 
B)  There is no way to determine whether the alternative hypothesis is true. 
C)  The alternative hypothesis represents the conclusion for which evidence is sought. 
D)  None of the statements is correct.

Question 12

The is used to test the statistical significance of the observed association in cross- tabulation.

Accepted Answer

A)  Cramer's V 
B)  chi- square statistic 
C)  contingency coefficient 
D)  phi coefficient 
A)  Cramer's V 
B)  chi- square statistic 
C)  contingency coefficient 
D)  phi coefficient

Question 13

The mode represents the highest peak of the distribution.

Accepted Answer

A) True 
 B)False

Question 14

The tests the goodness of fit of the observed number of observations in each category to the number expected under a specified binomial distribution.

Accepted Answer

A)  binomial test 
B)  sign test 
C)  Mann- Whitney U test 
D)  runs test 
A)  binomial test 
B)  sign test 
C)  Mann- Whitney U test 
D)  runs test

Question 15

are hypothesis testing procedures that assume that the variables are measured on a nominal or ordinal scale.

Accepted Answer

A)  Nonparametric tests 
B)  Parametric tests 
C)  Parameter tests 
D)  None of the above 
A)  Nonparametric tests 
B)  Parametric tests 
C)  Parameter tests 
D)  None of the above

Question 16

Suppose we wanted to test the hypothesis that the mean familiarity rating exceeds 4.0, the neutral value on a seven- point scale. The hypotheses may be formulated as _ .
A) H0: µ c 4.0 H1: µ > 4.0

Accepted Answer

Question 17

Frequency data may be used to construct a histogram, or a vertical bar chart.

Accepted Answer

A) True 
 B)False

Question 18

Nonparametric tests are used when the independent variables are nonmetric.

Accepted Answer

A) True 
 B)False

Question 19

The is the most appropriate measure of central tendency for interval or ratio data.

Accepted Answer

A)  mean 
B)  median 
C)  mode 
D)  range 
A)  mean 
B)  median 
C)  mode 
D)  range

Question 20

For a given level of α, increasing the sample size will decrease fi, thereby increasing the power of the test.

Accepted Answer

A) True 
 B)False

Exam 15: Frequency Distribution, Crosstabulation, and Hypothesis

Lambda assumes that the variables are measured on an ordinal scale.

In the parametric case of means for two independent samples, the hypotheses take which form? A) H0: a12 = a22 H1: a12 × a22

In tests of associations, the null hypothesis is that there is no association between the variables (H0:......is NOT related to. ).

Which statement is not correct about the null hypothesis?

Which program or function listed below is not useful for conducting nonparametric tests?

The F statistic is computed as the ratio of two sample variances.

Mean, median, and mode are measures of variability.

is a test statistic that measures the association between two ordinal- level variables. It makes an adjustment for ties and is most appropriate when the table of variable is square.

is an average of the two asymmetric lambda values. It does not make an assumption about which variable is dependent.

A statistical technique that describes two or more variables simultaneously and results in tables that reflect the joint distribution of two or more variables that have a limited number of categories or distinct values is a .

Which of the following statements is not correct about the alternative hypothesis?

The is used to test the statistical significance of the observed association in cross- tabulation.

The mode represents the highest peak of the distribution.

The tests the goodness of fit of the observed number of observations in each category to the number expected under a specified binomial distribution.

are hypothesis testing procedures that assume that the variables are measured on a nominal or ordinal scale.

Suppose we wanted to test the hypothesis that the mean familiarity rating exceeds 4.0, the neutral value on a seven- point scale. The hypotheses may be formulated as _ . A) H0: µ c 4.0 H1: µ > 4.0

Frequency data may be used to construct a histogram, or a vertical bar chart.

Nonparametric tests are used when the independent variables are nonmetric.

The is the most appropriate measure of central tendency for interval or ratio data.

For a given level of α, increasing the sample size will decrease fi, thereby increasing the power of the test.

Introduction to Marketing

Defining the Marketing Research

Research Design

Exploratory Research Design

Exploratory Research Design

Descriptive Research Design

Causal Research Design

Measurement and Scaling

Measurement and Scaling

Questionnaire and Form

Sampling: Design and

Sampling: Final and Initial

Fieldwork

Data Preparation

Analysis of Variance and

Correlation and Regression

Discriminant and Logit

Factor Analysis

Cluster Analysis

Multidimensional Scaling and

Structural Equation Modeling

Report Preparation and

International Marketing

Filters

In the parametric case of means for two independent samples, the hypotheses take which form? A) H₀: a₁²= a₂²H₁: a₁²× a₂²

In tests of associations, the null hypothesis is that there is no association between the variables (H₀:......is NOT related to. ).

Suppose we wanted to test the hypothesis that the mean familiarity rating exceeds 4.0, the neutral value on a seven- point scale. The hypotheses may be formulated as _ . A) H₀: µ c 4.0 H₁: µ > 4.0