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Arafa has collected data on the relationship between physical attractiveness and judgments of personality characteristics. In order to determine if the results obtained from the sample are representative of the population, Arafa will need to employ _____ statistics.


A) qualitative
B) descriptive
C) inferential
D) ordinal

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Rejecting the null hypothesis when it is true is called a _____ error, whereas not rejecting a false null hypothesis when it is false is called a(n) _____ error.


A) beta; alpha
B) Type I; Type II
C) minor; major
D) significant; insignificant

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A _____ result is one that has a very low probability of occurring if the population means are equal.


A) simplistic
B) significant
C) specifiable
D) systematic

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Which statistical test would be most appropriate for examining the relationship between temperature and the number of ice cream cones sold?


A) Chi-square test
B) Analysis of variance
C) t test
D) Pearson correlation

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Which significance level would minimize the probability of a Type I error?


A) .25
B) .10
C) .05
D) .01

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A researcher wants to test a hypothesis according to which the mean rating of guilt will be higher for unattractive defendants than for attractive defendants. The appropriate statistical test would be the _____.


A) Pearson r
B) two-tailed t-test
C) one-tailed t-test
D) chi-square

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A researcher assesses the length of the prison sentence for physically attractive and physically unattractive defendants. He believes that attractive defendants will receive shorter prison sentences than unattractive defendants. The null hypothesis would suggest that:


A) there is no difference in the length of the prison sentence received by attractive and unattractive defendants.
B) physically attractive defendants will receive longer prison sentences than physically unattractive defendants.
C) physically attractive defendants will receive shorter prison sentences than physically unattractive defendants.
D) some other variable such as gender is responsible for the difference in the length of prison sentence.

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According to her statistical analysis, an investigator found that significantly more men than women used punishment to discipline their children. Thus, the investigator would:


A) accept the null hypothesis.
B) reject the null hypothesis.
C) make a Type II error.
D) make a Type I error.

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Which of the following statements is true of a null hypothesis?


A) The population means are not equal.
B) The difference in means is not due to random error.
C) The mean of the experimental group is not equal to the mean of the control group.
D) The mean of the placebo treatment is equal to the mean of the experimental treatment group.

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The research hypothesis states that the:


A) independent variable has no effect.
B) independent variable has an effect.
C) dependent variable has no effect.
D) dependent variable has an effect.

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A consumer analyst asks participants to rate the comfort of the ride for two brands of all-terrain tires-Trail Cushion and Mud Handler. Trail Cushion is rated more comfortable with a mean of 5.5 than Mud Handler, which is found to have a mean of 4.3. The Type I error would be to conclude that Trail Cushion is:


A) more comfortable than Mud Handler when a true difference in comfort exists.
B) no more comfortable than Mud Handler when Trail Cushion is actually more comfortable.
C) no more comfortable than Mud Handler when no difference in comfort exists.
D) more comfortable than Mud Handler when the two tires are equally comfortable.

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Sean wants to test a hypothesis according to which the mean amount of sales dollars will vary between Oak Ridge, Oak Wood, and Oak Park shopping malls. The appropriate statistical test would be the _____.


A) Mann-Whitney U
B) t-test
C) F-test
D) Pearson r

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Andrea is told that the means of two groups in a study were statistically significant. She knows the means and standard deviations of the two groups and is interested in calculating an estimate of effect size. Given this information, which effect size estimate should she calculate?


A) F
B) Effect size r
C) Cohen's d
D) Alpha

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According to a survey, 57 percent of the citizens of the United States prefer a Democratic candidate, while 43 percent of the citizens prefer a Republican candidate in an election. The survey reports a confidence interval (CFI) of 95 percent + or -3. What can be concluded from these results?


A) The Republican candidate will win the election.
B) There is a 95 percent chance of making a correct prediction about the election.
C) There is a 5 percent chance of making a correct prediction about the election.
D) There is no way of knowing which candidate has a higher likelihood of being elected.

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Reida has developed a program that is designed to increase the reading comprehension scores of sixth graders. She randomly selects three students to participate in her program. When she compares the mean score of the students who completed her program to that of three students who did not participate in the program, she finds no significant difference between the mean scores. What is most likely the reason for the nonsignificant finding?


A) Too strong a manipulation
B) The participation of sixth graders
C) A small sample size
D) A true research hypothesis

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A Type II error occurs when one:


A) rejects the null hypothesis when it is false.
B) rejects the null hypothesis when it is true.
C) accepts the null hypothesis when it is true.
D) accepts the null hypothesis when it is false.

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Statistically, significant results mean that the results are:


A) very important.
B) meaningless.
C) likely to be due to chance differences between the groups.
D) likely to be due to true differences between the groups.

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The _____ is commonly used to examine whether two groups are significantly different from each other.


A) t test
B) Mann-Whitney U test
C) Chi-square test
D) r test

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A one-tailed statistical test is used when:


A) the data are from a ratio scale.
B) the data are from an ordinal scale.
C) there is a specific prediction regarding the direction of difference between groups.
D) there is no prediction regarding the direction of difference between groups.

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A researcher employs inferential statistics to examine the difference in mean scores obtained by fourth grade boys and girls in a standardized math test. In this case, inferential statistics:


A) summarize and describe the important characteristics of the data.
B) test the research hypothesis.
C) indicate the strength of the relationship between the math scores of boys and girls.
D) indicate the probability that the difference between means reflect random error.

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