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1. Take the clean data set and using pivot tables create appropriate tables to determine the following:

a. P that an individual would be male?

b. P that an individual will be female given they are blond?

c. P that an individual will be male and no hair?

d. P that an individual will weigh more than 200 pounds?

e. P that a female we weigh more than 200 pounds?

f. P that a male will weigh more than 200 pounds?

g. What portion of the population weighs less than 200 pounds?

2. Using excel tell me the PROPORTION OF THE POPULATION that would be greater than a value with a Z SCORE of 2.05?

3. Using excel, tell me the Z SCORE if 58% of a population is less than X?

4. When do we use REGRESSION?

5. What is R?

6. What is R^2?

7. What is adjusted R^2?

8. What is the F and significance of F, and how do you use it?

9. What is the STANDARD ERROR and what does it mean?

10. How do you make an equation to determine an EXPECTED DEPENDENT VARIABLE given the information contained in the information provided in a regression table?

11. How do you know if the COEFFICIENTS and Y INTERCEPTS are significant?

12. How do you know if a REGRESSION MODEL IS significant?

13. What are steps taken in a REGRESSION exercise?

14. What is the difference between CAUSALITY and CORRELATION?

15. Are we ever sure of CAUSALITY?

16. What is an INTERACTION VARIABLE?

17. What is MULTI-COLLINEARITY?

18. What are methods used for NONLINEAR TRANSFORMATIONS?

19. What are OUTLIERS?

20. What is PREDICTION?

21. What is PARSIMONY?

22. What is INFERENCE?

23. What is P VALUE?

24. What is CONFIDENCE INTERVAL?

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