Question 1

In ANOVA, a particular combination of factor levels or categories is called treatment conditions.

Accepted Answer

A) True 
 B)False

Question 2

________ indicates that some differences exist between some of the treatment groups.

Accepted Answer

A)  Decomposition of the total variation 
B)  Predisposed total variation 
C)  Total analysis of variation 
D)  Significance of the overall effect 
E)  Divergent validity 
A)  Decomposition of the total variation 
B)  Predisposed total variation 
C)  Total analysis of variation 
D)  Significance of the overall effect 
E)  Divergent validity

Question 3

It is not possible to conduct hypothesis testing if the data collected in social media are qualitative in nature.

Accepted Answer

A) True 
 B)False

Question 4

Eta² varies between -1 and 1.

Accepted Answer

A) True 
 B)False

Question 5

The ________ is a statistic that assumes that the variable has a symmetric bell-shaped distribution and the mean is known (or assumed to be known) and the population variance is estimated from the sample.

Accepted Answer

A)  F statistic 
B)  t statistic 
C)  z statistic 
D)  none of the above 
A)  F statistic 
B)  t statistic 
C)  z statistic 
D)  none of the above

Question 6

An ANOVA technique in which there is only one factor is called two-way analysis of variance.

Accepted Answer

A) True 
 B)False

Question 7

The t distribution is a symmetric bell-shaped distribution that is useful for small sample testing.

Accepted Answer

A) True 
 B)False

In ANOVA, a particular combination of factor levels or categories is called treatment conditions.

________ indicates that some differences exist between some of the treatment groups.

It is not possible to conduct hypothesis testing if the data collected in social media are qualitative in nature.

Eta² varies between -1 and 1.

The ________ is a statistic that assumes that the variable has a symmetric bell-shaped distribution and the mean is known (or assumed to be known) and the population variance is estimated from the sample.

An ANOVA technique in which there is only one factor is called two-way analysis of variance.

The t distribution is a symmetric bell-shaped distribution that is useful for small sample testing.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Syndicated Sources of Secondary Data

Exploratory Research Design: Qualitative Research

Descriptive Research Design: Survey and Observation

Causal Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Noncomparative Scaling Techniques

Questionnaire and Form Design

Sampling: Design and Procedures

Sampling: Final and Initial Sample Size Determination

Fieldwork: Data Collection

Data Preparation and Analysis Strategy

Frequency Distribution, Hypothesis Testing, and Cross-Tabulation

Correlation and Regression

Report Preparation and Presentation

Filters

Exam 17: Hypothesis Testing Related to Differences

In ANOVA, a particular combination of factor levels or categories is called treatment conditions.

________ indicates that some differences exist between some of the treatment groups.

It is not possible to conduct hypothesis testing if the data collected in social media are qualitative in nature.

Eta² varies between -1 and 1.

The ________ is a statistic that assumes that the variable has a symmetric bell-shaped distribution and the mean is known (or assumed to be known) and the population variance is estimated from the sample.

An ANOVA technique in which there is only one factor is called two-way analysis of variance.

The t distribution is a symmetric bell-shaped distribution that is useful for small sample testing.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Syndicated Sources of Secondary Data

Exploratory Research Design: Qualitative Research

Descriptive Research Design: Survey and Observation

Causal Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Noncomparative Scaling Techniques

Questionnaire and Form Design

Sampling: Design and Procedures

Sampling: Final and Initial Sample Size Determination

Fieldwork: Data Collection

Data Preparation and Analysis Strategy

Frequency Distribution, Hypothesis Testing, and Cross-Tabulation

Correlation and Regression

Report Preparation and Presentation

Filters