From the list shown below, for each of the following hypothesis testing situatio

Question

From the list shown below, for each of the following hypothesis testing situations indicate the type of test you would use. Unless otherwise, the significance level for all the tests is .05.

A.One-way ANOVA

B.Pearson product-moment correlation

C. Kruskal-Wallis

D. Spearman rank correlation

E. Simple Linear Regression

F. Multiple Logistic Regression

1.A researcher wants to assess the correlation between two variables. One or both of the variables are not assumed to be normally distributed, and least one of them is ordinal.

2. A researcher wants to assess the effect of using different modalities for 10 days to gain pain-free range of motion (ROM) in patients with elbow tendonitis. Four groups are created and four modality of care are offered. One gets ultrasound; another one gets ice; a third one gets massage; and the fourth is assigned to be the control. The dependent variable is elbow ROM, measured in degrees and is normally distributed; the independent variable (type of modality) has four levels

3. A researcher has a study with a categorical independent variable (with two or more categories) and a normally distributed interval dependent variable; he wishes to test for differences in the means of the dependent variable broken down by the levels of the independent variable.

4. A researcher wants to assess if there is a relationship between the concentration of fluoride in drinking water and the number of cavities in children’s teeth (data is normally distributed).

5. A researcher wants to assess whether attitudes towards pay discrimination (attitudes are measured on an ordinal scale from "strongly agree" to "strongly disagree",) differed based on job position: (assistant professor; associate professor and full professor). It is assumed that the data is not normally distributed.

Explanation / Answer

1-D. Spearman rank correlation

2-Multiple logistic regression

3-One way Anova

4-Simple linear regression

5-Kruskal Wallis

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