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:
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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