Question 1

Calculate Cohen's d for t = 4.22 with N = 60 for each of the two groups.

Accepted Answer

A)  .07 
B)  .39 
C)  .78 
D)  1.11 
A)  .07 
B)  .39 
C)  .78 
D)  1.11

Question 2

The probability of making a type II error is typically ______.

Accepted Answer

A)  .01 
B)  .05 
C)  .10 
D)  none of these 
A)  .01 
B)  .05 
C)  .10 
D)  none of these

Question 3

If major league baseball players were to be tested for steroids, a ______ error would occur if the test states a player ______ steroids when in reality he ______.

Accepted Answer

A)  type I; uses; does not 
B)  type I; does not use; does not 
C)  type II; uses; does not 
D)  type II; uses; does 
A)  type I; uses; does not 
B)  type I; does not use; does not 
C)  type II; uses; does not 
D)  type II; uses; does

Question 4

A type II error occurs when researchers make the decision to ______ when they ______.

Accepted Answer

A)  not reject the null hypothesis; should 
B)  reject the null hypothesis; should not 
C)  reject the alternative hypothesis; should not 
D)  not reject the null hypothesis; should not 
A)  not reject the null hypothesis; should 
B)  reject the null hypothesis; should not 
C)  reject the alternative hypothesis; should not 
D)  not reject the null hypothesis; should not

Question 5

The probability of making a type II error is typically equal to ______.

Accepted Answer

A)  1 - β 
B)  1 - α 
C)  μ 
D)  none of these 
A)  1 - β 
B)  1 - α 
C)  μ 
D)  none of these

Question 6

A type II error occurs when a researcher makes the decision to ______.

Accepted Answer

A)  reject the null hypothesis 
B)  not reject the null hypothesis 
C)  accept the alternative hypothesis 
D)  prove the null hypothesis 
A)  reject the null hypothesis 
B)  not reject the null hypothesis 
C)  accept the alternative hypothesis 
D)  prove the null hypothesis

Question 7

______ is an estimate of the magnitude of the difference between the means of two groups measured in standard deviation units.

Accepted Answer

A)  r2 
B)  t2 
C)  β 
D)  Cohen's d 
A)  r2 
B)  t2 
C)  β 
D)  Cohen's d

Question 8

The probability of making a type I error is typically equal to ______.

Accepted Answer

A)  .01 
B)  .05 
C)  .95 
D)  .99 
A)  .01 
B)  .05 
C)  .95 
D)  .99

Question 9

Which statement would be inappropriate to use when interpreting the significance level of a variable?

Accepted Answer

A)  The difference was found to be significant at the p  .05. 
D)  The difference was found to be significant at the p <.05 level. 
A)  The difference was found to be significant at the p  .05. 
D)  The difference was found to be significant at the p <.05 level.

Question 10

Using a more homogeneous sample is one strategy used by researchers to ______.

Accepted Answer

A)  increase between-group variability 
B)  decrease between-group variability 
C)  increase within-group variability 
D)  decrease within-group variability 
A)  increase between-group variability 
B)  decrease between-group variability 
C)  increase within-group variability 
D)  decrease within-group variability

Question 11

Calculate Cohen's d for t = 2.45 with N = 40 for each of the two groups.

Accepted Answer

A)  .06 
B)  .28 
C)  .55 
D)  .79 
A)  .06 
B)  .28 
C)  .55 
D)  .79

Question 12

The ______ statistic is a measure of effect size that may be calculated when testing the difference between two sample means.

Accepted Answer

A)  r2 
B)  α 
C)  t2 
D)  df 
A)  r2 
B)  α 
C)  t2 
D)  df

Question 13

A Cohen's d value of .25 may be considered to be a large effect.

Accepted Answer

A) True 
 B)False

Question 14

The only way to completely eliminate the possibility of type I error is to ______.

Accepted Answer

A)  never reject the null hypothesis 
B)  always reject the null hypothesis 
C)  collect data from the entire population 
D)  always use non-directional hypotheses 
A)  never reject the null hypothesis 
B)  always reject the null hypothesis 
C)  collect data from the entire population 
D)  always use non-directional hypotheses

Question 15

Calculate the r2 statistic for t = 3.02 with N = 100 for each of the two groups.

Accepted Answer

A)  .02 
B)  .04 
C)  .08 
D)  .09 
A)  .02 
B)  .04 
C)  .08 
D)  .09

Question 16

A researcher found that his statistic was significant at the p < .01 level, indicating it was "more" significant than if the significance level was found to be p < .05.

Accepted Answer

A) True 
 B)False

Question 17

The probability of making a ______ error may be represented by ______.

Accepted Answer

A)  type I; p = α 
B)  type II; 1 - α 
C)  type I; p = β 
D)  type II; 1 - β 
A)  type I; p = α 
B)  type II; 1 - α 
C)  type I; p = β 
D)  type II; 1 - β

Question 18

An r2 value of .05 indicates that 5% of the variance in one variable is explained by another variable.

Accepted Answer

A) True 
 B)False

Question 19

The percentage of variance in one variable that is accounted for by another variable is ______.

Accepted Answer

A)  r2 
B)  t2 
C)  d 
D)  α 
A)  r2 
B)  t2 
C)  d 
D)  α

Question 20

A type I error means that a researcher has ______.

Accepted Answer

A)  correctly concluded that an effect does not exist 
B)  correctly concluded that an effect exists 
C)  falsely concluded that an effect does not exist 
D)  falsely concluded that an effect exists 
A)  correctly concluded that an effect does not exist 
B)  correctly concluded that an effect exists 
C)  falsely concluded that an effect does not exist 
D)  falsely concluded that an effect exists

Calculate Cohen's d for t = 4.22 with N = 60 for each of the two groups.

The probability of making a type II error is typically ______.

If major league baseball players were to be tested for steroids, a error would occur if the test states a player steroids when in reality he __.

A type II error occurs when researchers make the decision to when they .

The probability of making a type II error is typically equal to ______.

A type II error occurs when a researcher makes the decision to ______.

______ is an estimate of the magnitude of the difference between the means of two groups measured in standard deviation units.

The probability of making a type I error is typically equal to ______.

Which statement would be inappropriate to use when interpreting the significance level of a variable?

Using a more homogeneous sample is one strategy used by researchers to ______.

Calculate Cohen's d for t = 2.45 with N = 40 for each of the two groups.

The ______ statistic is a measure of effect size that may be calculated when testing the difference between two sample means.

A Cohen's d value of .25 may be considered to be a large effect.

The only way to completely eliminate the possibility of type I error is to ______.

Calculate the r² statistic for t = 3.02 with N = 100 for each of the two groups.

A researcher found that his statistic was significant at the p < .01 level, indicating it was "more" significant than if the significance level was found to be p < .05.

The probability of making a error may be represented by .

An r² value of .05 indicates that 5% of the variance in one variable is explained by another variable.

The percentage of variance in one variable that is accounted for by another variable is ______.

A type I error means that a researcher has ______.

Introduction to Statistics

Examining Data: Tables and Figures

Measures of Central Tendency

Measures of Variability

Normal Distributions

Probability and Hypothesis Testing

Testing One Sample Mean

Estimating the Mean of a Population

Testing the Difference Between Two Means

One-Way Analysis of Variance Anova

Two-Way Analysis of Variance Anova

Correlation

Linear Regression and Multiple Correlation

Chi-Square

Filters

Exam 10: Errors in Hypothesis Testing, Statistical Power, and Effect Size

Calculate Cohen's d for t = 4.22 with N = 60 for each of the two groups.

The probability of making a type II error is typically ______.

If major league baseball players were to be tested for steroids, a ______ error would occur if the test states a player ______ steroids when in reality he ______.

A type II error occurs when researchers make the decision to ______ when they ______.

The probability of making a type II error is typically equal to ______.

A type II error occurs when a researcher makes the decision to ______.

______ is an estimate of the magnitude of the difference between the means of two groups measured in standard deviation units.

The probability of making a type I error is typically equal to ______.

Which statement would be inappropriate to use when interpreting the significance level of a variable?

Using a more homogeneous sample is one strategy used by researchers to ______.

Calculate Cohen's d for t = 2.45 with N = 40 for each of the two groups.

The ______ statistic is a measure of effect size that may be calculated when testing the difference between two sample means.

A Cohen's d value of .25 may be considered to be a large effect.

The only way to completely eliminate the possibility of type I error is to ______.

Calculate the r2 statistic for t = 3.02 with N = 100 for each of the two groups.

A researcher found that his statistic was significant at the p < .01 level, indicating it was "more" significant than if the significance level was found to be p < .05.

The probability of making a ______ error may be represented by ______.

An r2 value of .05 indicates that 5% of the variance in one variable is explained by another variable.

The percentage of variance in one variable that is accounted for by another variable is ______.

A type I error means that a researcher has ______.

Introduction to Statistics

Examining Data: Tables and Figures

Measures of Central Tendency

Measures of Variability

Normal Distributions

Probability and Hypothesis Testing

Testing One Sample Mean

Estimating the Mean of a Population

Testing the Difference Between Two Means

One-Way Analysis of Variance Anova

Two-Way Analysis of Variance Anova

Correlation

Linear Regression and Multiple Correlation

Chi-Square

Filters

If major league baseball players were to be tested for steroids, a error would occur if the test states a player steroids when in reality he __.

A type II error occurs when researchers make the decision to when they .

Calculate the r² statistic for t = 3.02 with N = 100 for each of the two groups.

The probability of making a error may be represented by .

An r² value of .05 indicates that 5% of the variance in one variable is explained by another variable.