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.

There is a relationship between the risk of developing type 2 diabetes comparing people with different levels of active lifestyles.

People who intake less calories are more likely to be to be at risk of Type 2 diabetes than those who intake a lot of calories.

People who visit their doctor more often are more likely to be at risk for type 2 diabetes than people who visit their doctor less frequent.

People who have health insurance are more likely to be at risk for type 2 diabetes than people who do not have health insurance.

People who watch less television are more likely to get diagnosed with type 2 diabetes than those who watch a lot of television.

People who consume less fruits are more likely to be at risk for type 2 diabetes than those who consume a lot of fruits.

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

There is a relationship between the risk of developing type 2 diabetes comparing people of different socioeconomic status.

There is a relationship between the risk of developing type 2 diabetes comparing people of different race/ethnicity.

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

There is a relationship between the risk of developing type 2 diabetes comparing people with different levels of active lifestyles.

This will also need chi-square test for independence because there are two levels for diabetes as "With the risk of developing type 2 diabetes and no risk of developing type 2 diabetes" and another variable is levels of active lifestyles this will be treated as the nominal variable. Hence, a two-variable chi-square test would be the most appropriate test

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