How is the z-test differentfrom z-score analysis? (Points : 1) The z-test compares a sample to a population. The z-test calculates a value of z which can be compared to Table A. The z-test provides a way to evaluate how individuals compare to apopulation. The z-test is based on how individual scores compare to a sample mean.A one-sample t value isstatistically significant in which situation? (Points : 1) The calculated t is equal to or larger than the table value. The calculated t is equal to or smaller than the table value. The calculated t is equal to or smaller than .05. The calculated t is equal to or larger than .05.What advantage does the one-samplet offer over the z-test? (Points : 1) The one sample t requires no parameter standard error of the mean. The one sample t requires no parameter mean. The one sample t requires no sample mean. The one sample t doesn’t require interval scale data.Consulting Table 3.1, whatpercentage of the distribution occurs below z = 1.0? (Points : 1) 15.87% 34.13% 50% 84.13%The Cohen’s d has an upperlimit of 1.0. (Points : 1) True FalseWhat does Cohen’s d measurein the independent t-test? (Points : 1) Whether a result is a random outcome The effect size of the result The direction of the difference The impact of the dependent variableThe z-test asks whether thepopulation from which the sample was drawn has the same mean as thepopulation to which it is compared. (Points : 1) True FalseWhich of the following expressionsis an indication of sampling error? (Points : 1) M =m x – M s M ≠ mMA type I decision error occurs inwhich of the following circumstances? (Points : 1) The decision not to proceed with an analysis The decision to proceed when the analysis is flawed Erroneously determining that a result is not significant Erroneously determining that a result is significantIn a distribution for which themean is 25 and the standard deviation is 5, what percentage of all scoresoccur at 30 or above? (Points : 1) 15.87% 20% 34.13% 84.13%

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