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.