which of the following is not true of the f test statistic course hero

by Kenton Murazik 3 min read

What happens if the F test statistic is large?

What does the small F test indicate?

What is a sample in statistics?

What does it mean when there is an??? between two factors?

Which distribution depends on the two different degrees of freedom?

Is the F test statistically sensitive?

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Stats Test 3 Flashcards | Quizlet

Which of the following is NOT true when testing a claim about a standard deviation or variance? A. The table for finding P-values does not usually give exact P-values as it only includes select values of alpha and selected numbers of degrees of freedom.

Quantitative Reasoning Test #3 Study Guide Flashcards | Quizlet

In a chi-square test, the expected frequencies _____. a. Are expected to occur under the terms of the research hypothesis b. Are expected to occur under the terms of the null hypothesis c. Refer to those frequencies actually observed d.

Solved QUESTION 1 Which of the following is NOT true when | Chegg.com

QUESTION 1. Which of the following is NOT true when using one-way analysis of variance for testing equality of three or more population means?

What happens if the F test statistic is large?

If the F test statistic is​ large, then the​ P-value will be large.

What does the small F test indicate?

A. Small F test statistics indicate that the decision is to reject the null hypothesis of equal means.

What is a sample in statistics?

A. The samples are simple random samples of categorical data.

What does it mean when there is an??? between two factors?

There is an ??? between two factors if the effect of one of the factors changes for different categories of the other factor.

Which distribution depends on the two different degrees of freedom?

C. The exact shape of the F distribution depends on the two different degrees of freedom.

Is the F test statistically sensitive?

A. The F test statistic is very sensitive to sample​ means , even though it is obtained through two different estimates of the common population variance.

What does it mean when the sample results cannot easily occur when the null hypothesis is true?

If the sample results​ (or more extreme​ results) cannot easily occur when the null hypothesis is​ true, we explain the discrepancy between the assumption and the sample results by concluding that the assumption is​ true, so we do not reject the assumption.

What happens if the P value is less than 0.05?

If the​ P-value is less than​ 0.05, the decision is to reject the null hypothesis. ​ Otherwise, we fail to reject the null hypothesis

What is the variance of the differences between two independent random variables?

The variance of the differences between two independent random variables is the sum of their individual variances.

What does the inequality symbol in the alternative hypothesis point away from?

The inequality symbol in the alternative hypothesis points away from the critical region.

Is the P-value method equivalent to the confidence interval method?

The​ P-value method and the classical method are not equivalent to the confidence interval method in that they may yield different results.

Does the table for finding P-values give exact P-values?

The table for finding​ P-values does not usually give exact​ P-values as it only includes select values of alpha and selected numbers of degrees of freedom.

Is a conclusion based on a confidence interval estimate the same as a conclusion based on a?

A conclusion based on a confidence interval estimate will be the same as a conclusion based on a hypothesis test.

What happens if the F test statistic is large?

If the F test statistic is​ large, then the​ P-value will be large.

What does the small F test indicate?

A. Small F test statistics indicate that the decision is to reject the null hypothesis of equal means.

What is a sample in statistics?

A. The samples are simple random samples of categorical data.

What does it mean when there is an??? between two factors?

There is an ??? between two factors if the effect of one of the factors changes for different categories of the other factor.

Which distribution depends on the two different degrees of freedom?

C. The exact shape of the F distribution depends on the two different degrees of freedom.

Is the F test statistically sensitive?

A. The F test statistic is very sensitive to sample​ means , even though it is obtained through two different estimates of the common population variance.

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