A sample of n = 9 scores has a variance of s2 = 36.What is the estimated standard error for the sample mean?

A) 1 B) 2 C) 4 D) 16 A) 1 B) 2 C) 4 D) 16

Exam 9: Introduction to the T Statistic

A hypothesis test produces a t statistic of t = 2.20.If the researcher is using a two-tailed test with α = .05,how large does the sample have to be in order to reject the null hypothesis?

(Multiple Choice)

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Question 21

A sample of n = 9 scores has a variance of s² = 36.What is the estimated standard error for the sample mean?

(Multiple Choice)

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Question 22

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 23

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 24

If other factors are held constant,which set of sample characteristics is most likely to reject a null hypothesis stating that  = 80?

(Multiple Choice)

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Question 25

A hypothesis test with a sample of n = 25 participants produces a t statistic of t = +2.53.Assuming a one-tailed test with the critical region in the right-hand tail,what is the correct decision?

(Multiple Choice)

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Question 26

Although you can compute a z-score for a single score (a sample of n = 1),it is impossible to compute a t statistic for a sample that has only one score.Explain why.

(Essay)

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Question 27

When n is small (less than 30),how does the shape of the t distribution compare to the normal distribution?

(Multiple Choice)

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Question 28

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

(Multiple Choice)

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Question 29

Which of the following describes what a confidence interval does?

(Multiple Choice)

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Question 30

With α = .01,the two-tailed critical region for a t test using a sample of n = 16 subjects would have boundaries of ______.

(Multiple Choice)

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Question 31

Compared to a z-score,a hypothesis test with a t statistic requires more information from the sample.

(True/False)

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Question 32

Two samples are selected from a population,and a treatment is administered to the samples.If both samples have the same mean and the same variance,you are more likely to find a significant treatment effect with a sample of n = 100 than with a sample of n = 4.

(True/False)

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Question 33

A research report states "t(15)= 2.31,p < .05." For this study,the sample had n = 16 scores.

(True/False)

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Question 34

Which set of characteristics will produce the smallest value for the estimated standard error?

(Multiple Choice)

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Question 35

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

(True/False)

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Question 36

If other factors are held constant,what is the effect of increasing the sample size?

(Multiple Choice)

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Question 37

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 38

Which of the following is not needed to compute a t statistic?

(Multiple Choice)

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Question 39

What value is estimated with a confidence interval using the t statistic?

(Multiple Choice)

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Question 40

Showing 21 - 40 of 80

A hypothesis test produces a t statistic of t = 2.20.If the researcher is using a two-tailed test with α = .05,how large does the sample have to be in order to reject the null hypothesis?

A sample of n = 9 scores has a variance of s² = 36.What is the estimated standard error for the sample mean?

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

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 reject a null hypothesis stating that  = 80?

A hypothesis test with a sample of n = 25 participants produces a t statistic of t = +2.53.Assuming a one-tailed test with the critical region in the right-hand tail,what is the correct decision?

Although you can compute a z-score for a single score (a sample of n = 1),it is impossible to compute a t statistic for a sample that has only one score.Explain why.

When n is small (less than 30),how does the shape of the t distribution compare to the normal distribution?

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

Which of the following describes what a confidence interval does?

With α = .01,the two-tailed critical region for a t test using a sample of n = 16 subjects would have boundaries of ______.

Compared to a z-score,a hypothesis test with a t statistic requires more information from the sample.

Two samples are selected from a population,and a treatment is administered to the samples.If both samples have the same mean and the same variance,you are more likely to find a significant treatment effect with a sample of n = 100 than with a sample of n = 4.

A research report states "t(15)= 2.31,p < .05." For this study,the sample had n = 16 scores.

Which set of characteristics will produce the smallest value for the estimated standard error?

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

If other factors are held constant,what is the effect of increasing the sample size?

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

Which of the following is not needed to compute a t statistic?

What value is estimated with a confidence interval using the t statistic?

Introduction to Statistics

Frequency Distributions

Measures of Central Tendency

Measures of Variability

Z-Scores

Probability

Probability and Samples:

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 and Two-Factor Anova

Correlation and Regression

Chi-Square Tests

Filters

Exam 9: Introduction to the T Statistic

A hypothesis test produces a t statistic of t = 2.20.If the researcher is using a two-tailed test with α = .05,how large does the sample have to be in order to reject the null hypothesis?

A sample of n = 9 scores has a variance of s2 = 36.What is the estimated standard error for the sample mean?

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

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 reject a null hypothesis stating that  = 80?

A hypothesis test with a sample of n = 25 participants produces a t statistic of t = +2.53.Assuming a one-tailed test with the critical region in the right-hand tail,what is the correct decision?

Although you can compute a z-score for a single score (a sample of n = 1),it is impossible to compute a t statistic for a sample that has only one score.Explain why.

When n is small (less than 30),how does the shape of the t distribution compare to the normal distribution?

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

Which of the following describes what a confidence interval does?

With α = .01,the two-tailed critical region for a t test using a sample of n = 16 subjects would have boundaries of ______.

Compared to a z-score,a hypothesis test with a t statistic requires more information from the sample.

Two samples are selected from a population,and a treatment is administered to the samples.If both samples have the same mean and the same variance,you are more likely to find a significant treatment effect with a sample of n = 100 than with a sample of n = 4.

A research report states "t(15)= 2.31,p < .05." For this study,the sample had n = 16 scores.

Which set of characteristics will produce the smallest value for the estimated standard error?

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

If other factors are held constant,what is the effect of increasing the sample size?

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

Which of the following is not needed to compute a t statistic?

What value is estimated with a confidence interval using the t statistic?

Introduction to Statistics

Frequency Distributions

Measures of Central Tendency

Measures of Variability

Z-Scores

Probability

Probability and Samples:

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 and Two-Factor Anova

Correlation and Regression

Chi-Square Tests

Filters

A sample of n = 9 scores has a variance of s² = 36.What is the estimated standard error for the sample mean?

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