First question : In each example below, i ndicate whether an independent-samples or paired t test is appropriate:

1. Subjects are asked their height and then a measurement of height is obtained. The hypothesis to be tested is that all self-reported and actual heights do not differ. Paired t-test
2. You want to compare the durability of two types of socks. You have people wear one type of sock on one foot and another type of sock on the other. You see how long it takes for a hole to appear. Independent-samples t-test

Second question: Use the RENAL.sav file from Norusis and do the following:

1. One Sample t-test, using "length of stay" as the test variable, conduct a hypothesis test on whether the average length of stay is 14 days. State he hypothesis and alternative hypothesis. State the reject/do not reject hypothesis and conclusion.
2. Independent Samples t-test, choose any scale variable (I used hours in the operating room) and any nominal variable (I used gender) with two levels from the RENAL.Sav file. Conduct an Independent Samples t-test on the scale variable with the nominal variable as a grouping variable. State the hypothesis to be tested, test for the equality of variances-(i.e. Levene’s test). State the reject/do not reject decision and conclusion.
3. One-Way ANOVA, create a new variable AGE3 in which ages from 0-59 are recoded as 1, ages 60-69 are recoded as 2, and ages 70 and older are recoded as 3. Choose any scale variable (I selected cardiac risk factors-cardrsk) from the RENAL.sav file. Conduct a One-Way ANOVA on the scale variable with AGE3 as a factor. Use the Bonferroni Post Hoc test as appropriate. State the hypothesis to be tested. Sate the reject/do not reject decision and conclusion.

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