1. Math 260 Final Project //name //major //picture (optional)

2. 1a. Confidence Intervals a) State if you’re doing Means or Proportion. Describe problem. (Ex: I’ll find a 95% confidence interval for the true mean age of all MA 260 students).

3. 1b. Confidence Interval Data (insert data in a table, or attach data: take Print Screen of data, Use “Insert screensheet” on Powerpoint)

4. 1c. Confidence Interval sample mean or sample proportion (pick one) margin of error: ____ confidence interval Interpretation (explain in a sentence)

5. 2a. Hypothesis Test for Means Describe your problem here (ex: “I suspect that the average age of students on campus is more than 19 years old.”)

6. 2b. Hypothesis test data (attach data: take Print Screen of data, Use “Insert screensheet” on Powerpoint)

7. 2c. Five step hypothesis test 1. 2. 3. 4. 5.

8. 3a. Second hypothesis test Choose either proportion test or difference of means (dependent or independent). (State which one) State problem (ex: I suspect that less that 10% of student on campus are math majors. I will test this claim at  =0.05”)

9. 3b. Hypothesis test data (attach data: take Print Screen of data, Use “Insert screensheet” on Powerpoint)

10. 3c. Five step hypothesis test 1. 2. 3. 4. 5.

11. 4a. Correlation and Regression Response variable: Predictor: How data was collected Sampling method

12. 4b. Regression data (include a sample of at least 20) (attach data: take Print Screen of data, Use “Insert screensheet” on Powerpoint)

13. 4c. Correlation and Regression Minitab calculates that correlation is r= ____ P value Interpretation of p value Minitab calculates the Regression equation as ____________ We can use the equation to predict. (pick an appropriate x, and calculate y)

14. 4d. Regression (attach data: take Print Screen of Minitab’s Fitted Line plot, Use “Insert screensheet” on Powerpoint)

15. 5a. Multiple Regression Explain problem Response variable ___________ Predictors: – ___________ Method of collection of data

16. 5b. Multiple Regression (insert sample data of at least 20) (attach data: take Print Screen of data, Use “Insert screensheet” on Powerpoint)

17. 5c. Multiple Regression Minitab calculates the regression equation: A prediction (pick appropriate predictors x 1 and x 2, and predict y) R 2 is:______ Interpretation of R 2

18. 5d. Multiple Regression Analysis of predictors predictorP valueIs this variable a good predictor? Why/why not?

19. 6. ANOVA (describe your study)

20. 6. ANOVA -- data (attach data: take Print Screen of data, Use “Insert screensheet” on Powerpoint)

21. ANOVA (insert Minitab One-way (unstacked) ANOVA analysis)

22. 6. ANOVA – 5 step test 1. 2. 3. 4. 5.