Decide rst whether data are quantitative or qualitative. Unless mentioned otherwise, no assumption has been seriously violated,

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Question:

Decide ﬁrst whether data are quantitative or qualitative. Unless mentioned otherwise, no assumption has been seriously violated, and therefore the appropriate test should be selected from among t , F , or c2 tests. Specify the precise form of the test. For example, specify that the t test is for two population means with related samples, or that the c2 test is for two variables, or that the F test is for repeated measures.

1. A comparative psychologist suspects that chemicals in the urine of male rats trigger an increase in the activity of other rats. To check this hunch, she randomly assigns rats, in equal numbers, to either a sterile cage, a cage sprayed with a trace of the chemicals, or a cage sprayed thoroughly with the chemicals. Furthermore, to check out the possibility that reactions might be sex-linked, equal numbers of female and male rats are assigned to the three cage conditions. An activity score is recorded for each rat during a 5-minute observation period in the speciﬁed cage.

2. A psychologist wishes to evaluate the effectiveness of relaxation training on the subsequent performance of college students in a public speaking class. After being matched on the basis of the quality of their initial speeches, students are randomly assigned either to receive relaxation training or to serve in a control group. Evaluation is based on scores awarded to students for their speeches at the end of the class.

3. An investigator wishes to determine whether, for a random sample of drug addicts, the mean score on the depression scale of a personality test differs from that which, according to the test documentation, represents the mean score for the general population.

4.Another investigator wishes to determine whether, for a random sample of drug addicts, the mean score on the depression scale of a personality test differs from the corresponding mean score for a random sample of no addicted people.