Exam 9: Introduction to the T Statistic

If random samples,each with n = 20 scores,are selected from a population,and the z-score and t statistic are computed for each sample,the t statistics will be more variable than the z-scores.

(True/False)

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Question 21

Which of the following describes the function of a confidence interval?

(Multiple Choice)

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Question 22

Which of the following is a fundamental difference between the t statistic and a z-score?

(Multiple Choice)

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Question 23

When the population variance or standard deviation is not known,you must use a t statistic instead of a z-score for a hypothesis test.

(True/False)

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Question 24

If a sample of n = 16 scores is being used to make an 80% confidence interval estimate of the population mean,μ,what value(s)of t should be used?

(Multiple Choice)

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Question 25

In general,the larger the value of the sample variance,the greater the likelihood of rejecting the null hypothesis.

(True/False)

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Question 26

Although hypothesis tests are affected by sample size,it has little or no influence on measures of effect size,such as r² or Cohen's d.

(True/False)

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Question 27

The sample mean will always be exactly in the center of a confidence interval that is estimating the value of the population mean.

(True/False)

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Question 28

On average,what value is expected for the t statistic when the null hypothesis is true?

(Multiple Choice)

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Question 29

In a hypothesis test,a large value for the sample variance increases the likelihood that you will find a significant treatment effect.

(True/False)

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Question 30

Which of the following samples will have the smallest value for the estimated standard error?

(Multiple Choice)

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Question 31

If two samples,each with n = 20 scores,are selected from the same population and both have the same mean (M = 53)and the same variance (s² = 12),then they will also have the same t statistic.

(True/False)

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Question 32

How does sample variance influence the likelihood of rejecting the null hypothesis and measures of effect size such as r² and Cohen's d?

(Multiple Choice)

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Question 33

A researcher conducts a hypothesis test using a sample of n = 40 from an unknown population.What is the df value for the t statistic?

(Multiple Choice)

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Question 34

For a two-tailed test with α = .05 and a sample of n = 16,the boundaries for the critical region are t = ±2.120.

(True/False)

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Question 35

For a one-tailed test with α = .05 and a sample of n = 9,the critical value for the t statistic is t = 1.860.

(True/False)

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Question 36

If other factors are held constant,which set of sample characteristics is most likely to produce a significant t statistic?

(Multiple Choice)

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Question 37

A sample is selected from a population with μ = 46 and a treatment is administered to the sample.After treatment,the sample mean is M = 48 with a sample variance of s² = 16.Based on this information,the size of the treatment effect,as measured by Cohen's d,is ____.

(Multiple Choice)

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Question 38

The t distribution for df = 4 is flatter and more spread out than the t distribution for df = 20.

(True/False)

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Question 39

A sample of n = 25 scores produces a t statistic of t = 2.062.If the researcher is using a two-tailed test,then which of the following is the correct statistical decision?

(Multiple Choice)

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Question 40

Showing 21 - 40 of 74

If random samples,each with n = 20 scores,are selected from a population,and the z-score and t statistic are computed for each sample,the t statistics will be more variable than the z-scores.

Which of the following describes the function of a confidence interval?

Which of the following is a fundamental difference between the t statistic and a z-score?

When the population variance or standard deviation is not known,you must use a t statistic instead of a z-score for a hypothesis test.

If a sample of n = 16 scores is being used to make an 80% confidence interval estimate of the population mean,μ,what value(s)of t should be used?

In general,the larger the value of the sample variance,the greater the likelihood of rejecting the null hypothesis.

Although hypothesis tests are affected by sample size,it has little or no influence on measures of effect size,such as r² or Cohen's d.

The sample mean will always be exactly in the center of a confidence interval that is estimating the value of the population mean.

On average,what value is expected for the t statistic when the null hypothesis is true?

In a hypothesis test,a large value for the sample variance increases the likelihood that you will find a significant treatment effect.

Which of the following samples will have the smallest value for the estimated standard error?

If two samples,each with n = 20 scores,are selected from the same population and both have the same mean (M = 53)and the same variance (s² = 12),then they will also have the same t statistic.

How does sample variance influence the likelihood of rejecting the null hypothesis and measures of effect size such as r² and Cohen's d?

A researcher conducts a hypothesis test using a sample of n = 40 from an unknown population.What is the df value for the t statistic?

For a two-tailed test with α = .05 and a sample of n = 16,the boundaries for the critical region are t = ±2.120.

For a one-tailed test with α = .05 and a sample of n = 9,the critical value for the t statistic is t = 1.860.

If other factors are held constant,which set of sample characteristics is most likely to produce a significant t statistic?

A sample is selected from a population with μ = 46 and a treatment is administered to the sample.After treatment,the sample mean is M = 48 with a sample variance of s² = 16.Based on this information,the size of the treatment effect,as measured by Cohen's d,is ____.

The t distribution for df = 4 is flatter and more spread out than the t distribution for df = 20.

A sample of n = 25 scores produces a t statistic of t = 2.062.If the researcher is using a two-tailed test,then which of the following is the correct statistical decision?

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores: Location of Scores and Standardized Distributions

Probability

Probability and Samples: the Distribution of Sample Means

Introduction to Hypothesis Testing

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Analysis of Variance Anova

Two-Factor Analysis of Variance Independent Measures

Correlation

Introduction to Regression

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

The Binomial Test

Filters

Exam 9: Introduction to the T Statistic

If random samples,each with n = 20 scores,are selected from a population,and the z-score and t statistic are computed for each sample,the t statistics will be more variable than the z-scores.

Which of the following describes the function of a confidence interval?​

Which of the following is a fundamental difference between the t statistic and a z-score?​

When the population variance or standard deviation is not known,you must use a t statistic instead of a z-score for a hypothesis test.

If a sample of n = 16 scores is being used to make an 80% confidence interval estimate of the population mean,μ,what value(s)of t should be used?​

In general,the larger the value of the sample variance,the greater the likelihood of rejecting the null hypothesis.

Although hypothesis tests are affected by sample size,it has little or no influence on measures of effect size,such as r2 or Cohen's d.

The sample mean will always be exactly in the center of a confidence interval that is estimating the value of the population mean.

On average,what value is expected for the t statistic when the null hypothesis is true?​

In a hypothesis test,a large value for the sample variance increases the likelihood that you will find a significant treatment effect.

Which of the following samples will have the smallest value for the estimated standard error?​

If two samples,each with n = 20 scores,are selected from the same population and both have the same mean (M = 53)and the same variance (s2 = 12),then they will also have the same t statistic.

How does sample variance influence the likelihood of rejecting the null hypothesis and measures of effect size such as r2 and Cohen's d?​

A researcher conducts a hypothesis test using a sample of n = 40 from an unknown population.What is the df value for the t statistic?​

For a two-tailed test with α = .05 and a sample of n = 16,the boundaries for the critical region are t = ±2.120.

For a one-tailed test with α = .05 and a sample of n = 9,the critical value for the t statistic is t = 1.860.

If other factors are held constant,which set of sample characteristics is most likely to produce a significant t statistic?​

​A sample is selected from a population with μ = 46 and a treatment is administered to the sample.After treatment,the sample mean is M = 48 with a sample variance of s2 = 16.Based on this information,the size of the treatment effect,as measured by Cohen's d,is ____.

The t distribution for df = 4 is flatter and more spread out than the t distribution for df = 20.

A sample of n = 25 scores produces a t statistic of t = 2.062.If the researcher is using a two-tailed test,then which of the following is the correct statistical decision?​

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores: Location of Scores and Standardized Distributions

Probability

Probability and Samples: the Distribution of Sample Means

Introduction to Hypothesis Testing

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Analysis of Variance Anova

Two-Factor Analysis of Variance Independent Measures

Correlation

Introduction to Regression

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

The Binomial Test

Filters

Which of the following describes the function of a confidence interval?

Which of the following is a fundamental difference between the t statistic and a z-score?

If a sample of n = 16 scores is being used to make an 80% confidence interval estimate of the population mean,μ,what value(s)of t should be used?

Although hypothesis tests are affected by sample size,it has little or no influence on measures of effect size,such as r² or Cohen's d.

On average,what value is expected for the t statistic when the null hypothesis is true?

Which of the following samples will have the smallest value for the estimated standard error?

If two samples,each with n = 20 scores,are selected from the same population and both have the same mean (M = 53)and the same variance (s² = 12),then they will also have the same t statistic.

How does sample variance influence the likelihood of rejecting the null hypothesis and measures of effect size such as r² and Cohen's d?

A researcher conducts a hypothesis test using a sample of n = 40 from an unknown population.What is the df value for the t statistic?

If other factors are held constant,which set of sample characteristics is most likely to produce a significant t statistic?

A sample is selected from a population with μ = 46 and a treatment is administered to the sample.After treatment,the sample mean is M = 48 with a sample variance of s² = 16.Based on this information,the size of the treatment effect,as measured by Cohen's d,is ____.

A sample of n = 25 scores produces a t statistic of t = 2.062.If the researcher is using a two-tailed test,then which of the following is the correct statistical decision?