The reason for using a factorial ANOVA rather than a simple ANOVA for a test of the significance of the difference between the averages of two or more groups.

Question

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Answer 1

Question

Chapter 14, Problem 1TP

To determine

To explain: The reason for using a factorial ANOVA rather than a simple ANOVA for a test of the significance of the difference between the averages of two or more groups.

Expert Solution & Answer

Answer to Problem 1TP

A factorial ANOVA is appropriate to use when there are two or more factors.

Explanation of Solution

To test the significance of more than one factor, simultaneously or more than once, the independent variable factorial analysis of variance is used. For example, when there is a presence of two or more independent variables such as experience which takes two levels 1 year, 2 years and age which takes two levels such as less than 25 and greater 25, the factorial ANOVA is used, rather than the simple ANOVA.

This two-way analysis of variance calculation is the same as simple or one-way ANOVA.

ANOVA is the correct tool to analyze the data when the independent variables have two groups or levels. If more than one factor, the factorial ANOVA is appropriate to get the significance of the data.

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Answer 2

Question

Chapter 14, Problem 1TP

To determine

To explain: The reason for using a factorial ANOVA rather than a simple ANOVA for a test of the significance of the difference between the averages of two or more groups.

Expert Solution & Answer

Answer to Problem 1TP

A factorial ANOVA is appropriate to use when there are two or more factors.

Explanation of Solution

To test the significance of more than one factor, simultaneously or more than once, the independent variable factorial analysis of variance is used. For example, when there is a presence of two or more independent variables such as experience which takes two levels 1 year, 2 years and age which takes two levels such as less than 25 and greater 25, the factorial ANOVA is used, rather than the simple ANOVA.

This two-way analysis of variance calculation is the same as simple or one-way ANOVA.

ANOVA is the correct tool to analyze the data when the independent variables have two groups or levels. If more than one factor, the factorial ANOVA is appropriate to get the significance of the data.

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Answer 3

Question

Chapter 14, Problem 1TP

To determine

To explain: The reason for using a factorial ANOVA rather than a simple ANOVA for a test of the significance of the difference between the averages of two or more groups.

Expert Solution & Answer

Answer to Problem 1TP

A factorial ANOVA is appropriate to use when there are two or more factors.

Explanation of Solution

To test the significance of more than one factor, simultaneously or more than once, the independent variable factorial analysis of variance is used. For example, when there is a presence of two or more independent variables such as experience which takes two levels 1 year, 2 years and age which takes two levels such as less than 25 and greater 25, the factorial ANOVA is used, rather than the simple ANOVA.

This two-way analysis of variance calculation is the same as simple or one-way ANOVA.

ANOVA is the correct tool to analyze the data when the independent variables have two groups or levels. If more than one factor, the factorial ANOVA is appropriate to get the significance of the data.

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Answer 4

Question

Chapter 14, Problem 1TP

To determine

To explain: The reason for using a factorial ANOVA rather than a simple ANOVA for a test of the significance of the difference between the averages of two or more groups.

Expert Solution & Answer

Answer to Problem 1TP

A factorial ANOVA is appropriate to use when there are two or more factors.

Explanation of Solution

To test the significance of more than one factor, simultaneously or more than once, the independent variable factorial analysis of variance is used. For example, when there is a presence of two or more independent variables such as experience which takes two levels 1 year, 2 years and age which takes two levels such as less than 25 and greater 25, the factorial ANOVA is used, rather than the simple ANOVA.

This two-way analysis of variance calculation is the same as simple or one-way ANOVA.

ANOVA is the correct tool to analyze the data when the independent variables have two groups or levels. If more than one factor, the factorial ANOVA is appropriate to get the significance of the data.

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Answer 5

Chapter 14, Problem 1TP

To determine

To explain: The reason for using a factorial ANOVA rather than a simple ANOVA for a test of the significance of the difference between the averages of two or more groups.

Expert Solution & Answer

Answer to Problem 1TP

A factorial ANOVA is appropriate to use when there are two or more factors.

Explanation of Solution

To test the significance of more than one factor, simultaneously or more than once, the independent variable factorial analysis of variance is used. For example, when there is a presence of two or more independent variables such as experience which takes two levels 1 year, 2 years and age which takes two levels such as less than 25 and greater 25, the factorial ANOVA is used, rather than the simple ANOVA.

This two-way analysis of variance calculation is the same as simple or one-way ANOVA.

ANOVA is the correct tool to analyze the data when the independent variables have two groups or levels. If more than one factor, the factorial ANOVA is appropriate to get the significance of the data.

Answer 6

Chapter 14, Problem 1TP

To determine

To explain: The reason for using a factorial ANOVA rather than a simple ANOVA for a test of the significance of the difference between the averages of two or more groups.

Expert Solution & Answer

Answer to Problem 1TP

A factorial ANOVA is appropriate to use when there are two or more factors.

Explanation of Solution

To test the significance of more than one factor, simultaneously or more than once, the independent variable factorial analysis of variance is used. For example, when there is a presence of two or more independent variables such as experience which takes two levels 1 year, 2 years and age which takes two levels such as less than 25 and greater 25, the factorial ANOVA is used, rather than the simple ANOVA.

This two-way analysis of variance calculation is the same as simple or one-way ANOVA.

ANOVA is the correct tool to analyze the data when the independent variables have two groups or levels. If more than one factor, the factorial ANOVA is appropriate to get the significance of the data.

Answer 7

Chapter 14, Problem 1TP

To determine

To explain: The reason for using a factorial ANOVA rather than a simple ANOVA for a test of the significance of the difference between the averages of two or more groups.

Answer 8

Expert Solution & Answer

Answer to Problem 1TP

A factorial ANOVA is appropriate to use when there are two or more factors.

Answer 9

Expert Solution & Answer

Answer 10

Expert Solution & Answer

Answer 11

Explanation of Solution

To test the significance of more than one factor, simultaneously or more than once, the independent variable factorial analysis of variance is used. For example, when there is a presence of two or more independent variables such as experience which takes two levels 1 year, 2 years and age which takes two levels such as less than 25 and greater 25, the factorial ANOVA is used, rather than the simple ANOVA.

This two-way analysis of variance calculation is the same as simple or one-way ANOVA.

ANOVA is the correct tool to analyze the data when the independent variables have two groups or levels. If more than one factor, the factorial ANOVA is appropriate to get the significance of the data.

Answer 12

Ch. 14 - Prob. 1TP Ch. 14 - Prob. 2TP Ch. 14 - Prob. 3TP Ch. 14 - Prob. 4TP Ch. 14 - Prob. 5TP

The reason for using a factorial ANOVA rather than a simple ANOVA for a test of the significance of the difference between the averages of two or more groups.

To explain: The reason for using a factorial ANOVA rather than a simple ANOVA for a test of the significance of the difference between the averages of two or more groups.

Answer to Problem 1TP

Explanation of Solution

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