Question

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).

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.

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...

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...

For the following experiment/question, pick the most appropriate
statistical test. You have the following statistical tests as
choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where
applicable) and the validity of parametric tests (where
applicable), unless something is directly stated (e.g., “the data
are not at all normal”) or otherwise indicated (viz., by the
inspection of the data) which would indicate a strong and obvious
violation of an assumption. This means you must...

For the following experiment/question, pick the most appropriate
statistical test. You have the following statistical tests as
choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where
applicable) and the validity of parametric tests (where
applicable), unless something is directly stated (e.g., “the data
are not at all normal”) or otherwise indicated (viz., by the
inspection of the data) which would indicate a strong and obvious
violation of an assumption. This means you must...

For the following experiment/question, pick the most appropriate
statistical test. You have the following statistical tests as
choices: some may be used more than once, others not at all. Assume
homogeneity of variance (where applicable) and the validity of
parametric tests (where applicable), unless something is directly
stated (e.g., “the data are not at all normal”) or otherwise
indicated (viz., by the inspection of the data) which would
indicate a strong and obvious violation of an assumption. This
means you...

For the following experiment/question, pick the most appropriate
statistical test. You have the following statistical tests as
choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where
applicable) and the validity of parametric tests (where
applicable), unless something is directly stated (e.g., “the data
are not at all normal”) or otherwise indicated (viz., by the
inspection of the data) which would indicate a strong and obvious
violation of an assumption. This means you must...

1. For the following experiment/question, pick the most
appropriate statistical test. You have the following statistical
tests as choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where applicable) and the
validity of parametric tests (where applicable), unless something
is directly stated (e.g., “the data are not at all normal”) or
otherwise indicated (viz., by the inspection of the data) which
would indicate a strong and obvious violation of an assumption.
This means...

2. For the following experiment/question, pick the most
appropriate statistical test. You have the following statistical
tests as choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where applicable) and the
validity of parametric tests (where applicable), unless something
is directly stated (e.g., “the data are not at all normal”) or
otherwise indicated (viz., by the inspection of the data) which
would indicate a strong and obvious violation of an assumption.
This means...

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