Question 1

If there is less than a(n) _____ percent chance of rejecting the null hypothesis when it is false, there is insufficient power.

Accepted Answer

A)  50 
B)  60 
C)  80 
D)  90 
A)  50 
B)  60 
C)  80 
D)  90

Question 2

If the population mean falls within the confidence interval, this means it is not plausible that the sample comes from the null hypothesized population.

Accepted Answer

A) True 
 B)False

Question 3

A 95 percent confidence interval of [153, 167] is calculated.What is the sample mean?

Accepted Answer

A)  14 
B)  160 
C)  167 
D)  181 
A)  14 
B)  160 
C)  167 
D)  181

Question 4

According to Cohen's convention, a value of _____ is a large effect size.

Accepted Answer

A)  0.2 
B)  0.5 
C)  0.8 
D)  340 
A)  0.2 
B)  0.5 
C)  0.8 
D)  340

Question 5

An overlap between two distributions of approximately 99 percent is likely to result in a(n) _____ effect size.

Accepted Answer

A)  small 
B)  medium 
C)  large 
D)  unconventional 
A)  small 
B)  medium 
C)  large 
D)  unconventional

Question 6

As Cohen's d increases from 0.2 to 0.8, the overlap between distributions decreases.

Accepted Answer

A) True 
 B)False

Question 7

In completing a questionnaire on various global economic issues, 31 percent of randomly selected respondents identified the issues as largely associated with the United States.If the margin of error was ±5.6 percent, what is the interval estimate for the United States?

Accepted Answer

A)  25.4 percent 
B)  26.2-37.8 percent 
C)  25.4-36.6 percent 
D)  31-36.6 percent 
A)  25.4 percent 
B)  26.2-37.8 percent 
C)  25.4-36.6 percent 
D)  31-36.6 percent

Question 8

A power analysis reveals that the study being run has low power.Which method is NOT an appropriate way to increase statistical power?

Accepted Answer

A)  Increase the alpha. 
B)  Increase the variance of the distributions. 
C)  Increase the N. 
D)  Decrease the standard deviation. 
A)  Increase the alpha. 
B)  Increase the variance of the distributions. 
C)  Increase the N. 
D)  Decrease the standard deviation.

Question 9

The statistical convention for the minimal acceptable power is:

Accepted Answer

A)  0.95. 
B)  0.90. 
C)  0.80. 
D)  0.75. 
A)  0.95. 
B)  0.90. 
C)  0.80. 
D)  0.75.

Question 10

The population mean is centered in the middle of the confidence interval.

Accepted Answer

A) True 
 B)False

Question 11

Statistical power is:

Accepted Answer

A)  the strength of the research study. 
B)  the ability to find important results. 
C)  a combination of the distance between group means and distribution variability. 
D)  the percent of the comparison distribution that falls beyond the critical cutoff. 
A)  the strength of the research study. 
B)  the ability to find important results. 
C)  a combination of the distance between group means and distribution variability. 
D)  the percent of the comparison distribution that falls beyond the critical cutoff.

Question 12

A confidence interval is a(n) _____ that includes the population mean after repeatedly sampling.

Accepted Answer

A)  point estimate 
B)  interval estimate 
C)  probability 
D)  hypothesis 
A)  point estimate 
B)  interval estimate 
C)  probability 
D)  hypothesis

Question 13

Exaggerating the levels of an independent variable will increase statistical power.

Accepted Answer

A) True 
 B)False

Question 14

Statistical power is the probability that a researcher will not make a Type II error.

Accepted Answer

A) True 
 B)False

Question 15

Glen has limited funds left in his grant to pay participants to be in his experiment.He wants to know how many participants he needs to detect a difference between conditions.What statistical technique would help him estimate how many participants he needs?

Accepted Answer

A)  Cohen's d 
B)  alpha cutoff levels 
C)  statistical power analysis 
D)  statistical significance 
A)  Cohen's d 
B)  alpha cutoff levels 
C)  statistical power analysis 
D)  statistical significance

Question 16

Statistical power calculations help researchers know how many participants are needed in their study.

Accepted Answer

A) True 
 B)False

Question 17

If the population mean falls outside the 95 percent confidence interval, one should fail to reject the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 18

As sample size increases, the:

Accepted Answer

A)  population mean increases. 
B)  standard error increases. 
C)  size of the test statistic increases. 
D)  size of the test statistic decreases. 
A)  population mean increases. 
B)  standard error increases. 
C)  size of the test statistic increases. 
D)  size of the test statistic decreases.

Question 19

An overlap between two distributions of approximately 55 percent is likely to result in a(n) _____ effect size.

Accepted Answer

A)  small 
B)  medium 
C)  large 
D)  unconventional 
A)  small 
B)  medium 
C)  large 
D)  unconventional

Question 20

As Cohen's d increases from 0.2 to 0.8, the overlap between distributions increases.

Accepted Answer

A) True 
 B)False

If there is less than a(n) _____ percent chance of rejecting the null hypothesis when it is false, there is insufficient power.

If the population mean falls within the confidence interval, this means it is not plausible that the sample comes from the null hypothesized population.

A 95 percent confidence interval of [153, 167] is calculated.What is the sample mean?

According to Cohen's convention, a value of _____ is a large effect size.

An overlap between two distributions of approximately 99 percent is likely to result in a(n) _____ effect size.

As Cohen's d increases from 0.2 to 0.8, the overlap between distributions decreases.

In completing a questionnaire on various global economic issues, 31 percent of randomly selected respondents identified the issues as largely associated with the United States.If the margin of error was ±5.6 percent, what is the interval estimate for the United States?

A power analysis reveals that the study being run has low power.Which method is NOT an appropriate way to increase statistical power?

The statistical convention for the minimal acceptable power is:

The population mean is centered in the middle of the confidence interval.

Statistical power is:

A confidence interval is a(n) _____ that includes the population mean after repeatedly sampling.

Exaggerating the levels of an independent variable will increase statistical power.

Statistical power is the probability that a researcher will not make a Type II error.

Glen has limited funds left in his grant to pay participants to be in his experiment.He wants to know how many participants he needs to detect a difference between conditions.What statistical technique would help him estimate how many participants he needs?

Statistical power calculations help researchers know how many participants are needed in their study.

If the population mean falls outside the 95 percent confidence interval, one should fail to reject the null hypothesis.

As sample size increases, the:

An overlap between two distributions of approximately 55 percent is likely to result in a(n) _____ effect size.

As Cohen's d increases from 0.2 to 0.8, the overlap between distributions increases.

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

If there is less than a(n) _____ percent chance of rejecting the null hypothesis when it is false, there is insufficient power.

If the population mean falls within the confidence interval, this means it is not plausible that the sample comes from the null hypothesized population.

A 95 percent confidence interval of [153, 167] is calculated.What is the sample mean?

According to Cohen's convention, a value of _____ is a large effect size.

An overlap between two distributions of approximately 99 percent is likely to result in a(n) _____ effect size.

As Cohen's d increases from 0.2 to 0.8, the overlap between distributions decreases.

In completing a questionnaire on various global economic issues, 31 percent of randomly selected respondents identified the issues as largely associated with the United States.If the margin of error was ±5.6 percent, what is the interval estimate for the United States?

A power analysis reveals that the study being run has low power.Which method is NOT an appropriate way to increase statistical power?

The statistical convention for the minimal acceptable power is:

The population mean is centered in the middle of the confidence interval.

Statistical power is:

A confidence interval is a(n) _____ that includes the population mean after repeatedly sampling.

Exaggerating the levels of an independent variable will increase statistical power.

Statistical power is the probability that a researcher will not make a Type II error.

Glen has limited funds left in his grant to pay participants to be in his experiment.He wants to know how many participants he needs to detect a difference between conditions.What statistical technique would help him estimate how many participants he needs?

Statistical power calculations help researchers know how many participants are needed in their study.

If the population mean falls outside the 95 percent confidence interval, one should fail to reject the null hypothesis.

As sample size increases, the:

An overlap between two distributions of approximately 55 percent is likely to result in a(n) _____ effect size.

As Cohen's d increases from 0.2 to 0.8, the overlap between distributions increases.

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