Exam 12: Analysis of Variance

A researcher calculated the ANOVA summary table for an experiment, but accidentally spilled grape juice over the first line of the output. From the data below, calculate the F test value.

(Multiple Choice)

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Question 21

A researcher can use the Scheffé or Tukey test to determine where the difference in the means lies, once the null hypothesis for the F-test has been rejected.

(True/False)

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Question 22

The figure below is a result of a two-way ANOVA, which of the following statements would apply?

(Multiple Choice)

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Question 23

Independent variables can also be called ______________.

(Short Answer)

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Question 24

The F-test for comparing means is always right tailed.

(True/False)

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Question 25

When performing an F-test, if the means differ significantly, the between-group variance will be much smaller than the within-group variance.

(True/False)

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Question 26

The data consist of the weights in ounces of three different types of digital camera. Use to see if the means are equal.

(Essay)

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Question 27

In an Analysis of Variance Summary Table, if the Mean Square Between = 13 and the Mean Square Within = 21, then the null hypothesis of the groups having the same mean is

(Multiple Choice)

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Question 28

The manager of a grocery store wants to determine if there is a difference in the amount of money that the store brings in at different times of the day for different days of the week. The amount of money spent by five randomly selected customers is listed below. Analyze the data using a two-way ANOVA at .

(Essay)

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Question 29

A Two-Way ANOVA Summary Table is shown below. The critical value for the F test using = 0.05, d.f.N. = 2, and d.f.D = 36 is 3.26. Then,

(Multiple Choice)

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Question 30

To find the critical value for the Tukey test, the number of means, k, and the degrees of freedom associated with the between group variance, V, are needed.

(True/False)

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Question 31

In a two-way ANOVA procedure, variable A has four levels and variable B has two levels. The d.f.N. for factor would be 3.

(True/False)

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Question 32

The between-group variance and the within-group variance are sometimes referred to as

(Multiple Choice)

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Question 33

Assume that the conclusion from an ANOVA is that the null hypothesis is rejected, in other words that the 7 population means are not all equal. We should expect that

(Multiple Choice)

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Question 34

In the Scheffe test, if = 8 for a group size = 7, = 11 for a group size = 7, and the within-group variance = 14, then the test value for comparing these two groups is equal to

(Multiple Choice)

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Question 35

For three groups, the F-test can show whether or not a difference exists among three means and where the difference lies.

(True/False)

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Question 36

A Two-Way ANOVA Summary Table is shown below. The critical value for the F test using = 0.05, d.f.N. = 2, and d.f.D = 27 is 3.35. Then,

(Multiple Choice)

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Question 37

Assume that the conclusion from an ANOVA is that the null hypothesis is rejected, in other words that the 9 population means (from equal sized samples) are not all equal. We should expect that

(Multiple Choice)

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Question 38

A Two-Way ANOVA Summary Table is shown below. The critical value for the F test using , d.f.N. = 2, and d.f.D = 45 is 3.20. Then,

(Multiple Choice)

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Question 39

For a disordinal interaction, the main effects can be interpreted independently of each other.

(True/False)

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Question 40

Showing 21 - 40 of 54

A researcher calculated the ANOVA summary table for an experiment, but accidentally spilled grape juice over the first line of the output. From the data below, calculate the F test value.

A researcher can use the Scheffé or Tukey test to determine where the difference in the means lies, once the null hypothesis for the F-test has been rejected.

The figure below is a result of a two-way ANOVA, which of the following statements would apply?

Independent variables can also be called ______________.

The F-test for comparing means is always right tailed.

When performing an F-test, if the means differ significantly, the between-group variance will be much smaller than the within-group variance.

The data consist of the weights in ounces of three different types of digital camera. Use to see if the means are equal.

In an Analysis of Variance Summary Table, if the Mean Square Between = 13 and the Mean Square Within = 21, then the null hypothesis of the groups having the same mean is

A Two-Way ANOVA Summary Table is shown below. The critical value for the F test using = 0.05, d.f.N. = 2, and d.f.D = 36 is 3.26. Then,

To find the critical value for the Tukey test, the number of means, k, and the degrees of freedom associated with the between group variance, V, are needed.

In a two-way ANOVA procedure, variable A has four levels and variable B has two levels. The d.f.N. for factor would be 3.

The between-group variance and the within-group variance are sometimes referred to as

Assume that the conclusion from an ANOVA is that the null hypothesis is rejected, in other words that the 7 population means are not all equal. We should expect that

In the Scheffe test, if = 8 for a group size = 7, = 11 for a group size = 7, and the within-group variance = 14, then the test value for comparing these two groups is equal to

For three groups, the F-test can show whether or not a difference exists among three means and where the difference lies.

A Two-Way ANOVA Summary Table is shown below. The critical value for the F test using = 0.05, d.f.N. = 2, and d.f.D = 27 is 3.35. Then,

Assume that the conclusion from an ANOVA is that the null hypothesis is rejected, in other words that the 9 population means (from equal sized samples) are not all equal. We should expect that

A Two-Way ANOVA Summary Table is shown below. The critical value for the F test using , d.f.N. = 2, and d.f.D = 45 is 3.20. Then,

For a disordinal interaction, the main effects can be interpreted independently of each other.

The Nature of Probability and Statistics

Frequency Distributions and Graphs

Data Description

Probability and Counting Rules

Discrete Probability Distributions

The Normal Distribution

Confidence Intervals and Sample Size

Hypothesis Testing

Testing the Difference Between Two Means, Two Variances, and Two Proportions

Correlation and Regression

Other Chi-Square Tests

Nonparametric Statistics

Sampling and Simulation

Filters