A sample with a mean of M = 40 and a variance of s2 = 20 has an estimated standard error of 2 points.How many scores are in the sample?

A) 4 B) 5 C) 10 D) 25 A) 4 B) 5 C) 10 D) 25

A sample of n = 25 scores has a mean of M = 40 and a variance of s2 = 100.What is the estimated standard error for the sample mean??

A) 4? B) ?2 C) ? \(\sqrt { 2 }\) D) ?1 A) 4? B) ?2 C) ? \(\sqrt { 2 }\) D) ?1

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 41

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

(Multiple Choice)

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Question 42

If other factors are held constant,as the sample size increases,the estimated standard error decreases.

(True/False)

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Question 43

Two samples from same population probably will have different t statistics even if they are the same size and have the same mean.

(True/False)

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Question 44

As the sample size is increased,the distribution of t statistics becomes flatter and more spread out.

(True/False)

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Question 45

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 46

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

(Multiple Choice)

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Question 47

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 48

If the 90% confidence interval for µ is from 40 to 50,then the sample mean is M = 45.

(True/False)

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Question 49

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

(Multiple Choice)

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Question 50

If the null hypothesis states that m = 70 and a researcher obtains a sample with M = 73 and s² = 9,then Cohen's d = 0.33.

(True/False)

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Question 51

If other factors are held constant,how does sample size 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 52

A sample with a mean of M = 40 and a variance of s² = 20 has an estimated standard error of 2 points.How many scores are in the sample?

(Multiple Choice)

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Question 53

For a hypothesis test using a t statistic,the boundaries for the critical region will change if the sample size is changed.

(True/False)

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Question 54

If other factors are held constant,the bigger the sample is,the greater the likelihood of rejecting the null hypothesis.

(True/False)

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Question 55

A sample of n = 25 scores has a mean of M = 40 and a variance of s² = 100.What is the estimated standard error for the sample mean??

(Multiple Choice)

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Question 56

For a one tailed test evaluating a treatment that is supposed to decrease scores,a researcher obtains t(8)= 1.90.For α = .05,the correct decision is to reject the null hypothesis.

(True/False)

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Question 57

A sample of n = 4 scores has SS = 48.What is the estimated standard error for the sample mean?

(Multiple Choice)

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Question 58

A researcher is testing the effect of a new cold and flu medication on mental alertness.A sample of n = 9 college students is obtained and each student is given the normal dose of the medicine.Thirty minutes later,each student's performance is measured on a video game that requires careful attention and quick decision making.The scores for the nine students are as follows: 6,8,10,6,7,13,5,5,3. a. Assuming that scores for students in the regular population average μ = 10, are the data sufficient to conclude that the medication has a significant effect on mental performance? Test at the .05 level of significance. b. Compute r2, the percentage of variance explained by the treatment effect. c. Write a sentence demonstrating how the outcome of the hypothesis test and the measure of effect size would be presented in a research report.

(Essay)

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Question 59

A sample has a mean of M = 39.5 and a standard deviation of s = 4.3,and produces a t statistic of t = 2.14.For a two-tailed hypothesis test with α = .05,what is the correct statistical decision for this sample?

(Multiple Choice)

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Question 60

Showing 41 - 60 of 74

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?

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

If other factors are held constant,as the sample size increases,the estimated standard error decreases.

Two samples from same population probably will have different t statistics even if they are the same size and have the same mean.

As the sample size is increased,the distribution of t statistics becomes flatter and more spread out.

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

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

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.

If the 90% confidence interval for µ is from 40 to 50,then the sample mean is M = 45.

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

If the null hypothesis states that m = 70 and a researcher obtains a sample with M = 73 and s² = 9,then Cohen's d = 0.33.

If other factors are held constant,how does sample size influence the likelihood of rejecting the null hypothesis and measures of effect size such as r² and Cohen's d?

A sample with a mean of M = 40 and a variance of s² = 20 has an estimated standard error of 2 points.How many scores are in the sample?

For a hypothesis test using a t statistic,the boundaries for the critical region will change if the sample size is changed.

If other factors are held constant,the bigger the sample is,the greater the likelihood of rejecting the null hypothesis.

A sample of n = 25 scores has a mean of M = 40 and a variance of s² = 100.What is the estimated standard error for the sample mean??

For a one tailed test evaluating a treatment that is supposed to decrease scores,a researcher obtains t(8)= 1.90.For α = .05,the correct decision is to reject the null hypothesis.

A sample of n = 4 scores has SS = 48.What is the estimated standard error for the sample mean?

A sample has a mean of M = 39.5 and a standard deviation of s = 4.3,and produces a t statistic of t = 2.14.For a two-tailed hypothesis test with α = .05,what is the correct statistical decision for this sample?

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

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?​

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

If other factors are held constant,as the sample size increases,the estimated standard error decreases.

Two samples from same population probably will have different t statistics even if they are the same size and have the same mean.

As the sample size is increased,the distribution of t statistics becomes flatter and more spread out.

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

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

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.

If the 90% confidence interval for µ is from 40 to 50,then the sample mean is M = 45.

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

If the null hypothesis states that m = 70 and a researcher obtains a sample with M = 73 and s2 = 9,then Cohen's d = 0.33.

If other factors are held constant,how does sample size influence the likelihood of rejecting the null hypothesis and measures of effect size such as r2 and Cohen's d?​

A sample with a mean of M = 40 and a variance of s2 = 20 has an estimated standard error of 2 points.How many scores are in the sample?​

For a hypothesis test using a t statistic,the boundaries for the critical region will change if the sample size is changed.

If other factors are held constant,the bigger the sample is,the greater the likelihood of rejecting the null hypothesis.

A sample of n = 25 scores has a mean of M = 40 and a variance of s2 = 100.What is the estimated standard error for the sample mean??

For a one tailed test evaluating a treatment that is supposed to decrease scores,a researcher obtains t(8)= 1.90.For α = .05,the correct decision is to reject the null hypothesis.

A sample of n = 4 scores has SS = 48.What is the estimated standard error for the sample mean?​

A sample has a mean of M = 39.5 and a standard deviation of s = 4.3,and produces a t statistic of t = 2.14.For a two-tailed hypothesis test with α = .05,what is the correct statistical decision for this sample?​

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

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?

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

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

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

If the null hypothesis states that m = 70 and a researcher obtains a sample with M = 73 and s² = 9,then Cohen's d = 0.33.

If other factors are held constant,how does sample size influence the likelihood of rejecting the null hypothesis and measures of effect size such as r² and Cohen's d?

A sample with a mean of M = 40 and a variance of s² = 20 has an estimated standard error of 2 points.How many scores are in the sample?

A sample of n = 25 scores has a mean of M = 40 and a variance of s² = 100.What is the estimated standard error for the sample mean??

A sample of n = 4 scores has SS = 48.What is the estimated standard error for the sample mean?

A sample has a mean of M = 39.5 and a standard deviation of s = 4.3,and produces a t statistic of t = 2.14.For a two-tailed hypothesis test with α = .05,what is the correct statistical decision for this sample?