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10.Say you had a sample of 100 students and computed a mean IQ of 88 with a standard error of the mean equal to 3.

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10.Say you had a sample of 100 students and computed a mean IQ of 88 with a standard error of the mean equal to 3. What would be the 95% confidence interval around the mean of 88?

85 - 115

82.12 - 93.88

85.12 - 91.65

-1.96 - 1.96

11.Which of the following best describes a sampling distribution?

the distribution of the frequency of occurrence of each category of a variable observed in a sample

the distribution of any statistic for an infinite number of samples randomly taken from the population

the distribution of the calculated probabilities of all possible values of a variable

A histogram

12.Which of the following best describes a Type I error?

Failed to reject the null when, in fact, there was a true population difference

Failed to reject the null when, in fact, there was NOT a true population difference

Rejected the null when, in fact, there was NOT a true population difference

Rejected the null when, in fact, there was a true population difference

13.The ___________ is the average distance that sample means are from the mean of the sampling distribution.

variance

standard error

t-ratio

F-statistic

14.All randomly selected samples have the exact same probability of producing a sample statistic (e.g., mean) that represents the population parameter.

True

False

15.Which of the following best describes a probability distribution?

the distribution of the frequency of occurrence of each category of a variable observed in a sample

the distribution of the frequency of occurrence of each category of a variable for a population

the distribution of the calculated probabilities of all possible values of a variable

the probability of obtaining a sample that produced an extreme value

16.The following SPSS output displays the results of an independent samples t-test comparing White youth to minority youth on a continuous (i.e., interval level) measure of aggression. Based on this output, which of the following statements is most accurate regarding the mean differences of aggression among White youth compared to minority youth?

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Descriptives Self-Control N Mean Std. Deviation Std. Error White 274 2.7583 8056 4867 Black 558 3.0177 84149 03562 Hispanic 454 2.7938 8777 .04119 Other 65 2.7002 .84782 10516 Total 1351 2.8746 85490 02326 ANOVA Self-Control Sum of Squares df Mean Square F Sig Between Groups 20.063 3 6.688 9.320 .000 Within Groups 966.596 1347 .718 Tota 986.659 1350 Multiple Comparisons Dependent Variable: Self-Control Mean Difference (1- (1) Ethnicity (J) Ethnici J) Std. Error sig. Scheffe White lack .25933 06249 001 Hispanic .03551 06480 960 Other 05817 11687 970 Black White 25933* 06249 .001 Hispanic 22382 .05354 .001 Other 31750 11102 043 Hispanic White .03551 06480 960 Black -.22382* 05354 001 Other 09368 11234 874 Other White .05817 11687 970 Black -.31750* 11102 043 Hispanic .09368 .11234 .874 *. The mean difference is significant at the 0.05 level.Is the youth White? Aggression no yes Aggression Equal variances assumed Equal variances not assumed Group Statistics N Mean Std. Deviation Std. Error Mean 1036 9.7963 11.12728 .34571 180 9.8611 10.84361 .80824 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means Sig. (2- Mean Std. Error F Sig. t df tailed) Difference Difference .027 .869 -.072 1214 .942 -.06478 .89520 -.074 249.048 .941 -.06478 .87907

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