Study Guide - Final 1
1 - 28 are multiple choice, 4 possible answers
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.
- Examples of discrete / continuous data
- When are two variables independent / dependent.
- Which distributions are symmetric
- Which distributions require degrees of freedom
- Properties of probabilities
- Properties of standard normal
- Properties of Student's t
- Properties of Chi-square
- Properties of F
- Difference between type I / type II errors
- Decision rules
- Modifications to data and effect on statistics
- Properties of Pearson's correlation coefficient
- Properties of Multinomial experiments
- Properties of Contingency tables
- Properties of Binomial
- Properties of point estimates
- Which statistics are affected by extreme values
- Properties of probability value
- When can a t distribution be used
- Central Limit Theorem
- When to use the regression equation
- Abuses of statistics
- Levels of measurement
- Which statistics involve all the data
- Know what Chebyshev, Pearson, Gosset, and Mendel did.
- Five number summary
- Changing the maximum error of the estimate
36 - 57 are true - false.
58 - 71 are definitions. Know the following. (not all are used)
- Relationship between r^2, coefficient of determination, and percent of variance that can be explained.
- When to approximate the binomial
- Difference between critical value and test statistic
- What needs estimated
- Relationship between level of significance and level of confidence
- Continuity correction factor
- Expected value
- Empirical probability
- Uses of stem and leaf
- Name of video tape series
- Independent variables
- General shape of hypothesis test statistics
- Author of book
- Sufficient vs Insufficient evidence
- Decision / Conclusions
- Variance of a probability function
- Values of r and implications
- Variables to eliminate / keep in multiple regression
- Left / Right / two-tailed tests determined from Critical Value(s)
- Empirical rule
- Meaning of 0+ and 1-
- Largest R^2 happens when?
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.