Question

For each hypothesis, the specific statistical test appropriate for testing the hypothesis should be described and...

For each hypothesis, the specific statistical test appropriate for testing the hypothesis should be described and a brief description of why the chosen test is most appropriate should be included.

One Sample t-test, Two sample t-test, Two related (correlated/paired/dependent)sample t-test, One Factor (one way) analysis of variance (ANOVA), Factorial for two way/facot Analysis of Variance (Anova), One Variable Chi-Square test, two variable chi square test, correlation, or linear regression

Example: 1. People who work in a sedentary job are more likely to have arthritis thanpeople who do not work in a sedentary job.

Two variable chi-square test (test for/of independence) – Both variables arenominal, so a two variable chi-square test would be the most appropriate test to choose.

Please help with:

1. There is a relationship between the risk of developing type 2 diabetes comparing people of different education levels.

2. There is a relationship between the risk of developing type 2 diabetes comparing people of different socioeconomic status. Or People with a lower yearly are more likely to be at risk for type 2 diabetes than those with a high yearly salary (socioeconomic status).

Homework Answers

Answer #1

1. There is a relationship between the risk of developing type 2 diabetes comparing people of different education levels.

Answer: One Factor analysis of variance (ANOVA) : There may be more than 2 group of people to be compared (uneducated, Graduate level, Post graduate level, Phd level). so ANOVA Test would be most appropriate test to choose.

2. There is a relationship between the risk of developing type 2 diabetes comparing people of different socioeconomic status. Or People with a lower yearly are more likely to be at risk for type 2 diabetes than those with a high yearly salary (socioeconomic status).

Answer: A Two sample t-test : There are two group of people to be compared.

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