A researcher is interested in the relation between physical health symptoms and mental health symptoms, but she is unsure of the direction. She tests this at the .05 level.

1.What is the research question?

2.What is the null hypothesis? ( symbol for 'rho'...copy and paste to use for your hypotheses)

3.What is the alternative hypothesis?

4.Does there appear to be a relation between the variables?

5.What is the correlation between the two variables?

6.Interpret the strength and direction of this correlation.

7.What is the p-value for this correlation?

8.Do we reject the null hypothesis?

9.Substantively interpret your decision.

A student conducting an honors thesis wants to know if students in different majors have significantly different grade point averages. She gathers 30 students total from psychology, biology, and English, and tests for differences in the average GPA at the .05 level.

1. What is the null hypothesis?
2. What is the alternative hypothesis?
3. What significance level are we testing against?
4. What are the samples sizes for each group?
5. What is the mean for group 1?
6. What is the mean for group 2?
7. What is the mean for group 3?
8. Complete the ANOVA table:

Source

SS

df

MS

F

p

Group

Error

Total

1. Do we reject the null hypothesis?
2. How much variance are we able to explain?
3. If you have a significant result, run a Tukey's post-hoc. Where are the difference(s)?
4. Substantively interpret your decision & APA.

A psychologists wants to know how much variance in a person's overall happiness is attributable to that person's physical well-being.She gathers data and runs a linear regression using her measure of health as a predictor of happiness.

1.What is the research question?

2.What is the predictor variable?

3.What is the outcome variable?

4.What is the null hypothesis?

5.What is the alternative hypothesis?

6.Complete the ANOVA-like table:

Source

SS

df

MS

F

p

Regression

Error

Total

7.How much variance are we able to explain?

8.Is our model statistically significant?

9.What is the intercept of our regression line?

10. What is the slope of our regression line?

Is this value statistically significant?

11. Substantively interpret the results.