## Study Guide - Final 1

1 - 28 are multiple choice, 4 possible answers
1. Examples of discrete / continuous data
2. When are two variables independent / dependent.
3. Which distributions are symmetric
4. Which distributions require degrees of freedom
5. Properties of probabilities
6. Properties of standard normal
7. Properties of Student's t
8. Properties of Chi-square
9. Properties of F
10. Difference between type I / type II errors
11. Decision rules
12. Modifications to data and effect on statistics
13. Properties of Pearson's correlation coefficient
14. Properties of Multinomial experiments
15. Properties of Contingency tables
16. Properties of Binomial
17. Properties of point estimates
18. Which statistics are affected by extreme values
19. Properties of probability value
20. When can a t distribution be used
21. Central Limit Theorem
22. When to use the regression equation
23. Abuses of statistics
24. Levels of measurement
25. Which statistics involve all the data
26. Know what Chebyshev, Pearson, Gosset, and Mendel did.
27. Five number summary
28. Changing the maximum error of the estimate
29 - 35 are to know which distribution to use in each case. You must supply the distribution. This is not matching or multiple choice, but there is a list of possible distributions given.

36 - 57 are true - false.

1. Relationship between r^2, coefficient of determination, and percent of variance that can be explained.
2. When to approximate the binomial
3. Difference between critical value and test statistic
4. What needs estimated
5. Relationship between level of significance and level of confidence
6. Continuity correction factor
7. Expected value
8. Empirical probability
9. Uses of stem and leaf
10. Name of video tape series
11. Independent variables
12. General shape of hypothesis test statistics
13. Author of book
14. Sufficient vs Insufficient evidence
15. Decision / Conclusions
16. Variance of a probability function
17. Values of r and implications
18. Variables to eliminate / keep in multiple regression
19. Left / Right / two-tailed tests determined from Critical Value(s)
20. Empirical rule
21. Meaning of 0+ and 1-
22. Largest R^2 happens when?
58 - 71 are definitions. Know the following. (not all are used)

Adjusted R^2, Alternative Hypothesis, Binomial Experiment, Class Boundary, Class Mark, Conclusion, Confidence Limit, Confidence Interval, Continuity Correction, Correlation Coefficient, Decision, Degrees of Freedom, Hypothesis, Median, Midrange, Null Hypothesis, Parameter, Population, Probability Distribution, Sample Size, Statistic, Test Statistic, Type I Error, Type II Error.