Exam 16: Introduction to the Two-Way Analysis of Variance

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An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. F _obt for the interaction equals _________.

(Multiple Choice)

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Question 61

The column variance estimate increases as the effect of independent variable B increases.

(True/False)

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Question 62

ΣS_B for one-way ANOVA is conceptually similar to ΣS_rows and ΣS_columns for two-way ANOVA.

(True/False)

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Question 63

What is a factorial experiment?

(Short Answer)

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Question 64

Define row sum of squares ( SS_rows ).

(Short Answer)

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Question 65

The two-way analysis of variance _________.

(Multiple Choice)

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Question 66

Define column degrees of freedom (df _columns ).

(Short Answer)

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Question 67

Consider the following graphic results from a 2 2 factorial experiment. These results show _________.

(Multiple Choice)

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Question 68

Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. The conclusion regarding the main effect of variable B is _________.

(Multiple Choice)

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Question 69

A significant interaction effect occurs when the effects of one of the variables is not the same at all levels of the other variable.

(True/False)

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Question 70

One of the poorer students in your class insists that there is a direct relationship between MS_within-cells and the size of real effect. Is he correct? Explain.

(Essay)

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Question 71

Consider the following graphic results from a 2 2 factorial experiment. These results show _________.

(Multiple Choice)

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Question 72

A 2 * 4 factorial experiment has 2 levels of one variable and 4 levels of the other variable.

(True/False)

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Question 73

It is not possible to have an interaction effect unless one of the variables also has a main effect.

(True/False)

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Question 74

The two-way analysis of variance _________.

(Multiple Choice)

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Question 75

The within-cells variance estimate measures treatment effects.

(True/False)

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Question 76

ΣS _total = ΣS_rows + ΣS_columns + ΣS_within-cells.

(True/False)

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Question 77

The conclusion regarding the B variable is _________.

(Multiple Choice)

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Question 78

In two-way ANOVA, it is possible for all or none, or any combination in between, of the F values to be significant.

(True/False)

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Question 79

Differences among column means are used to assess the main effect of one of the variables

(True/False)

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Question 80

Showing 61 - 80 of 115

An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. F _obt for the interaction equals _________.

The column variance estimate increases as the effect of independent variable B increases.

ΣS_B for one-way ANOVA is conceptually similar to ΣS_rows and ΣS_columns for two-way ANOVA.

What is a factorial experiment?

Define row sum of squares ( SS_rows ).

The two-way analysis of variance _________.

Define column degrees of freedom (df _columns ).

Consider the following graphic results from a 2 2 factorial experiment. These results show _________.

Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. The conclusion regarding the main effect of variable B is _________.

A significant interaction effect occurs when the effects of one of the variables is not the same at all levels of the other variable.

One of the poorer students in your class insists that there is a direct relationship between MS_within-cells and the size of real effect. Is he correct? Explain.

Consider the following graphic results from a 2 2 factorial experiment. These results show _________.

A 2 * 4 factorial experiment has 2 levels of one variable and 4 levels of the other variable.

It is not possible to have an interaction effect unless one of the variables also has a main effect.

The two-way analysis of variance _________.

The within-cells variance estimate measures treatment effects.

ΣS _total = ΣS_rows + ΣS_columns + ΣS_within-cells.

The conclusion regarding the B variable is _________.

In two-way ANOVA, it is possible for all or none, or any combination in between, of the F values to be significant.

Differences among column means are used to assess the main effect of one of the variables

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

The Normal Curve and Standard Scores

Correlation

Linear Regression

Random Sampling and Probability

Binomial Distribution

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Single Samples

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Chi-Square and Other Nonparametric Tests

Filters

Exam 16: Introduction to the Two-Way Analysis of Variance

An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. F obt for the interaction equals _________.

The column variance estimate increases as the effect of independent variable B increases.

ΣSB for one-way ANOVA is conceptually similar to ΣSrows and ΣScolumns for two-way ANOVA.

What is a factorial experiment?

Define row sum of squares ( SSrows ).

The two-way analysis of variance _________.

Define column degrees of freedom (df columns ).

Consider the following graphic results from a 2 2 factorial experiment. These results show _________.

Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. The conclusion regarding the main effect of variable B is _________.

A significant interaction effect occurs when the effects of one of the variables is not the same at all levels of the other variable.

One of the poorer students in your class insists that there is a direct relationship between MSwithin-cells and the size of real effect. Is he correct? Explain.

Consider the following graphic results from a 2 2 factorial experiment. These results show _________.

A 2 * 4 factorial experiment has 2 levels of one variable and 4 levels of the other variable.

It is not possible to have an interaction effect unless one of the variables also has a main effect.

The two-way analysis of variance _________.

The within-cells variance estimate measures treatment effects.

ΣS total = ΣSrows + ΣScolumns + ΣSwithin-cells.

The conclusion regarding the B variable is _________.

In two-way ANOVA, it is possible for all or none, or any combination in between, of the F values to be significant.

Differences among column means are used to assess the main effect of one of the variables

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

The Normal Curve and Standard Scores

Correlation

Linear Regression

Random Sampling and Probability

Binomial Distribution

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Single Samples

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Chi-Square and Other Nonparametric Tests

Filters

An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. F _obt for the interaction equals _________.

ΣS_B for one-way ANOVA is conceptually similar to ΣS_rows and ΣS_columns for two-way ANOVA.

Define row sum of squares ( SS_rows ).

Define column degrees of freedom (df _columns ).

One of the poorer students in your class insists that there is a direct relationship between MS_within-cells and the size of real effect. Is he correct? Explain.

ΣS _total = ΣS_rows + ΣS_columns + ΣS_within-cells.