An independent-measures study produces sample means of M1 = 35 and M2 = 31 and a pooled variance of 25.For this study, Cohen's d = ______.

A) d = 4/25 B) d = 25/4 C) d = 4/5 D) d = 5/4 A) d = 4/25 B) d = 25/4 C) d = 4/5 D) d = 5/4

Exam 10: The T Test for Two Independent Samples

If other factors are held constant, the larger the difference between the two sample means is, the larger the value for the independent-measures t statistic will be.

(True/False)

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Question 41

An independent-measures study produces sample means of M₁ = 35 and M₂ = 31 and a pooled variance of 25.For this study, Cohen's d = ______.

(Multiple Choice)

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Question 42

If an independent-measures t statistic has df = 20, then there were a total of 18 individuals participating in the research study.

(True/False)

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Question 43

Two samples, each with n = 4 scores, have a pooled variance of 32.The estimated standard error for the sample mean difference is √8.

(True/False)

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Question 44

If one sample has n = 5 scores with SS = 40 and a second sample has n = 5 scores with SS = 20, then the pooled variance will be 60/10 = 6.

(True/False)

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Question 45

If other factors are held constant, the larger the values for the two sample variances, the greater the likelihood that the independent-measures t test will find a significant difference.

(True/False)

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Question 46

For an independent-measures t statistic, what is the effect of increasing the number of scores in the samples?

(Multiple Choice)

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Question 47

An independent-measures study produces t(21) = 3.00, p < .01.For this study, if effect size is measured with r², then r² = 9/30.

(True/False)

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Question 48

An independent-measures study uses two samples, each with n = 10, to compare two treatment conditions.What is the df value for the t statistic for this study?

(Multiple Choice)

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Question 49

When pooling variances, the resulting value will be closer to the variance for the sample with the smaller number of scores.

(True/False)

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Question 50

Confidence intervals with the independent-measures t statistic are used to estimate how much difference there is between two population means.

(True/False)

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Question 51

One sample has M = 18 and a second sample has M = 14.If the pooled variance for the two samples is 16, then what is the value of Cohen's d?

(Multiple Choice)

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Question 52

For the independent-measures t statistic, what is the effect of increasing the difference between sample means?

(Multiple Choice)

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Question 53

An independent-measures study with n = 6 in each sample, produces a sample mean difference of 4 points and a pooled variance of 12.What is the value for the t statistic?

(Multiple Choice)

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Question 54

Which of the following sets of data would produce the largest value for an independent-measures t statistic?

(Multiple Choice)

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Question 55

If both samples have the same number of scores (n), then the independent-measures t statistic will have df = 2n - 2.

(True/False)

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Question 56

Two samples, each with n = 6 subjects, produce a pooled variance of 20.Based on this information, what is the estimated standard error for the sample mean difference?

(Multiple Choice)

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Question 57

The data from an independent-measures research study produce a sample mean difference of 6 points and an estimated standard error of 2 points.If there are n = 8 scores in each sample, then the value for the t statistic is _____.

(Multiple Choice)

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Question 58

If two sample variances are not equal, the pooled variance will be closer to the larger of the two variances.

(True/False)

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Question 59

A researcher reports t(22) = 5.30, p < .01 for an independent-measures experiment.How many individuals participated in the entire experiment?

(Multiple Choice)

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Question 60

Showing 41 - 60 of 70

If other factors are held constant, the larger the difference between the two sample means is, the larger the value for the independent-measures t statistic will be.

An independent-measures study produces sample means of M₁ = 35 and M₂ = 31 and a pooled variance of 25.For this study, Cohen's d = ______.

If an independent-measures t statistic has df = 20, then there were a total of 18 individuals participating in the research study.

Two samples, each with n = 4 scores, have a pooled variance of 32.The estimated standard error for the sample mean difference is √8.

If one sample has n = 5 scores with SS = 40 and a second sample has n = 5 scores with SS = 20, then the pooled variance will be 60/10 = 6.

If other factors are held constant, the larger the values for the two sample variances, the greater the likelihood that the independent-measures t test will find a significant difference.

For an independent-measures t statistic, what is the effect of increasing the number of scores in the samples?

An independent-measures study produces t(21) = 3.00, p < .01.For this study, if effect size is measured with r², then r² = 9/30.

An independent-measures study uses two samples, each with n = 10, to compare two treatment conditions.What is the df value for the t statistic for this study?

When pooling variances, the resulting value will be closer to the variance for the sample with the smaller number of scores.

Confidence intervals with the independent-measures t statistic are used to estimate how much difference there is between two population means.

One sample has M = 18 and a second sample has M = 14.If the pooled variance for the two samples is 16, then what is the value of Cohen's d?

For the independent-measures t statistic, what is the effect of increasing the difference between sample means?

An independent-measures study with n = 6 in each sample, produces a sample mean difference of 4 points and a pooled variance of 12.What is the value for the t statistic?

Which of the following sets of data would produce the largest value for an independent-measures t statistic?

If both samples have the same number of scores (n), then the independent-measures t statistic will have df = 2n - 2.

Two samples, each with n = 6 subjects, produce a pooled variance of 20.Based on this information, what is the estimated standard error for the sample mean difference?

The data from an independent-measures research study produce a sample mean difference of 6 points and an estimated standard error of 2 points.If there are n = 8 scores in each sample, then the value for the t statistic is _____.

If two sample variances are not equal, the pooled variance will be closer to the larger of the two variances.

A researcher reports t(22) = 5.30, p < .01 for an independent-measures experiment.How many individuals participated in the entire experiment?

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores

Probability

The Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Anova

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters

Exam 10: The T Test for Two Independent Samples

If other factors are held constant, the larger the difference between the two sample means is, the larger the value for the independent-measures t statistic will be.

An independent-measures study produces sample means of M1 = 35 and M2 = 31 and a pooled variance of 25.For this study, Cohen's d = ______.

If an independent-measures t statistic has df = 20, then there were a total of 18 individuals participating in the research study.

Two samples, each with n = 4 scores, have a pooled variance of 32.The estimated standard error for the sample mean difference is √8.

If one sample has n = 5 scores with SS = 40 and a second sample has n = 5 scores with SS = 20, then the pooled variance will be 60/10 = 6.

If other factors are held constant, the larger the values for the two sample variances, the greater the likelihood that the independent-measures t test will find a significant difference.

For an independent-measures t statistic, what is the effect of increasing the number of scores in the samples?

An independent-measures study produces t(21) = 3.00, p < .01.For this study, if effect size is measured with r2, then r2 = 9/30.

An independent-measures study uses two samples, each with n = 10, to compare two treatment conditions.What is the df value for the t statistic for this study?

When pooling variances, the resulting value will be closer to the variance for the sample with the smaller number of scores.

Confidence intervals with the independent-measures t statistic are used to estimate how much difference there is between two population means.

One sample has M = 18 and a second sample has M = 14.If the pooled variance for the two samples is 16, then what is the value of Cohen's d?

For the independent-measures t statistic, what is the effect of increasing the difference between sample means?

An independent-measures study with n = 6 in each sample, produces a sample mean difference of 4 points and a pooled variance of 12.What is the value for the t statistic?

Which of the following sets of data would produce the largest value for an independent-measures t statistic?

If both samples have the same number of scores (n), then the independent-measures t statistic will have df = 2n - 2.

Two samples, each with n = 6 subjects, produce a pooled variance of 20.Based on this information, what is the estimated standard error for the sample mean difference?

The data from an independent-measures research study produce a sample mean difference of 6 points and an estimated standard error of 2 points.If there are n = 8 scores in each sample, then the value for the t statistic is _____.

If two sample variances are not equal, the pooled variance will be closer to the larger of the two variances.

A researcher reports t(22) = 5.30, p < .01 for an independent-measures experiment.How many individuals participated in the entire experiment?

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores

Probability

The Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Anova

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters

An independent-measures study produces sample means of M₁ = 35 and M₂ = 31 and a pooled variance of 25.For this study, Cohen's d = ______.

An independent-measures study produces t(21) = 3.00, p < .01.For this study, if effect size is measured with r², then r² = 9/30.