Exam 8: Confidence Intervals, Effect Size, and Statistical Power

An interval estimate offers an advantage over a point estimate because it estimates the population parameter using a range of values rather than a single number.

(True/False)

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Question 41

As alpha increases, the likelihood of H₀ being true also increases.

(True/False)

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Question 42

A study reports finding a "significant" difference between group means.What can be concluded about this report?

(Multiple Choice)

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Question 43

The amount of overlap between two distributions can be decreased if the amount of variation within each population is reduced.

(True/False)

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Question 44

According to the textbook, a(n) _ test has more statistical power; however, a(n) _ is more conservative.

(Multiple Choice)

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Question 45

Increasing the number of scores in a sample from 10 to 20 decreases the width of a confidence interval to estimate the population mean.(Assume that all other factors are held constant.)

(True/False)

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Question 46

Before hypothesis testing and at the beginning of a study, a researcher is advised to conduct _ because it _.

(Multiple Choice)

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Question 47

Statistical power is a measure of the ability to reject the null hypothesis when:

(Multiple Choice)

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Question 48

Cohen's d indicates the difference between two means in terms of variance, not standard error.

(True/False)

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Question 49

The ability to reject the null hypothesis given that the null hypothesis is false is:

(Multiple Choice)

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Question 50

As the overlap between distributions being compared decreases, the effect size:

(Multiple Choice)

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Question 51

The sample mean is _____ the confidence interval.

(Multiple Choice)

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Question 52

A statistically significant difference between two groups indicates that all or most participants in one group are different from all or most of the participants in the other group.

(True/False)

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Question 53

Statistical power is a measure of the ability to reject the null hypothesis when it is false.

(True/False)

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Question 54

Effect sizes rely on comparison of a distribution of _ rather than on a distribution of _ and are therefore unaffected by sample size.

(Multiple Choice)

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Question 55

A high degree of overlap between two distributions of approximately 95 percent is likely to result in a(n) _____ effect size.

(Multiple Choice)

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Question 56

A degree of overlap between two distributions of approximately 50 percent is likely to result in a(n) _____ effect size.

(Multiple Choice)

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Question 57

Assume for a given study that the null hypothesis asserts the expected value of a phenomenon is 100.A research study results in a 95 percent confidence interval reported as [98.76, 105.24].What decision should be made based on this confidence interval?

(Multiple Choice)

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Question 58

By increasing statistical power, the probability of making a _ error is _.

(Multiple Choice)

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Question 59

Increasing sample size does NOT:

(Multiple Choice)

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Question 60

Showing 41 - 60 of 147

An interval estimate offers an advantage over a point estimate because it estimates the population parameter using a range of values rather than a single number.

As alpha increases, the likelihood of H₀ being true also increases.

A study reports finding a "significant" difference between group means.What can be concluded about this report?

The amount of overlap between two distributions can be decreased if the amount of variation within each population is reduced.

According to the textbook, a(n) _ test has more statistical power; however, a(n) _ is more conservative.

Increasing the number of scores in a sample from 10 to 20 decreases the width of a confidence interval to estimate the population mean.(Assume that all other factors are held constant.)

Before hypothesis testing and at the beginning of a study, a researcher is advised to conduct _ because it _.

Statistical power is a measure of the ability to reject the null hypothesis when:

Cohen's d indicates the difference between two means in terms of variance, not standard error.

The ability to reject the null hypothesis given that the null hypothesis is false is:

As the overlap between distributions being compared decreases, the effect size:

The sample mean is _____ the confidence interval.

A statistically significant difference between two groups indicates that all or most participants in one group are different from all or most of the participants in the other group.

Statistical power is a measure of the ability to reject the null hypothesis when it is false.

Effect sizes rely on comparison of a distribution of _ rather than on a distribution of _ and are therefore unaffected by sample size.

A high degree of overlap between two distributions of approximately 95 percent is likely to result in a(n) _____ effect size.

A degree of overlap between two distributions of approximately 50 percent is likely to result in a(n) _____ effect size.

Assume for a given study that the null hypothesis asserts the expected value of a phenomenon is 100.A research study results in a 95 percent confidence interval reported as [98.76, 105.24].What decision should be made based on this confidence interval?

By increasing statistical power, the probability of making a _ error is _.

Increasing sample size does NOT:

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

The Normal Curve, Standardization and Z Scores

Hypothesis Testing With Z Tests

The Single-Sample T Test

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Between-Groups Anova

One-Way Within-Groups Anova

Two-Way Between-Groups Anova

Correlation

Regression

Chi-Square Tess

Choosing and Reporting Statistics

Filters

Exam 8: Confidence Intervals, Effect Size, and Statistical Power

An interval estimate offers an advantage over a point estimate because it estimates the population parameter using a range of values rather than a single number.

As alpha increases, the likelihood of H0 being true also increases.

A study reports finding a "significant" difference between group means.What can be concluded about this report?

The amount of overlap between two distributions can be decreased if the amount of variation within each population is reduced.

According to the textbook, a(n) _____ test has more statistical power; however, a(n) _____ is more conservative.

Increasing the number of scores in a sample from 10 to 20 decreases the width of a confidence interval to estimate the population mean.(Assume that all other factors are held constant.)

Before hypothesis testing and at the beginning of a study, a researcher is advised to conduct _____ because it _____.

Statistical power is a measure of the ability to reject the null hypothesis when:

Cohen's d indicates the difference between two means in terms of variance, not standard error.

The ability to reject the null hypothesis given that the null hypothesis is false is:

As the overlap between distributions being compared decreases, the effect size:

The sample mean is _____ the confidence interval.

A statistically significant difference between two groups indicates that all or most participants in one group are different from all or most of the participants in the other group.

Statistical power is a measure of the ability to reject the null hypothesis when it is false.

Effect sizes rely on comparison of a distribution of _____ rather than on a distribution of _____ and are therefore unaffected by sample size.

A high degree of overlap between two distributions of approximately 95 percent is likely to result in a(n) _____ effect size.

A degree of overlap between two distributions of approximately 50 percent is likely to result in a(n) _____ effect size.

Assume for a given study that the null hypothesis asserts the expected value of a phenomenon is 100.A research study results in a 95 percent confidence interval reported as [98.76, 105.24].What decision should be made based on this confidence interval?

By increasing statistical power, the probability of making a _____ error is _____.

Increasing sample size does NOT:

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

The Normal Curve, Standardization and Z Scores

Hypothesis Testing With Z Tests

The Single-Sample T Test

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Between-Groups Anova

One-Way Within-Groups Anova

Two-Way Between-Groups Anova

Correlation

Regression

Chi-Square Tess

Choosing and Reporting Statistics

Filters

As alpha increases, the likelihood of H₀ being true also increases.

According to the textbook, a(n) _ test has more statistical power; however, a(n) _ is more conservative.

Before hypothesis testing and at the beginning of a study, a researcher is advised to conduct _ because it _.

Effect sizes rely on comparison of a distribution of _ rather than on a distribution of _ and are therefore unaffected by sample size.

By increasing statistical power, the probability of making a _ error is _.