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


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

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


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

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

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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.

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

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


A) r2
B) t2
C) d
D) α

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A type I error means that a researcher has ______.


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

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


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

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


A) The difference was found to be significant at the p < .001 level.
B) The difference was found to be significant at the p < .001 level, making it highly significant.
C) The difference was found to not be significant with a p value of p > .05.
D) The difference was found to be significant at the p <.05 level.

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


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

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


A) r2
B) α
C) t2
D) df

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


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

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


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

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

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


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

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


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

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


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

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


A) r2
B) t2
C) β
D) Cohen's d

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


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

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


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

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