- Properties of the Standard Normal distribution.
- Properties of the Student's T distribution.
- Properties of the Chi-Square distribution.
- Properties of the F distribution.
- Properties of the Binomial distribution.
- Properties of the Sampling distribution of the sample means
- Statistics which are affected by extreme values.
- Statistics which include all data values.
- Five number summary.
- Assumptions of Chi-Square Goodness of Fit test.
- Assumptions of Chi-Square test for independence.
- Assumptions of One-way ANOVA.
- Assumptions of Two-way ANOVA.
- Possible relationships when there's significant linear correlation.
- Properties of the linear correlation coefficient.
- Requirements for having a Binomial experiment.
- Know the statistician and which statistic he worked with. Concentrate on Chebyshev, Mendel, Gossett, and Pearson.
- Properties of probability distributions.
- Identify independent events.
- Identify independent samples.
- Write the null and alternative hypotheses for each of five statements. Some of these will
require that you define your subscripts. Also,
*if*there is a dependent sample case, be sure to define which way you're subtracting the values. - For a probability distribution, find the mean, variance, and standard deviation.
- Find three probabilities from the Standard Normal table. Also, find the Z-score given the probability for one part.
- Identify the type of sampling used as cluster, convenience, random, stratified, or systematic (four parts).
- Identify the best term defined. Thirteen parts.
*Most*of these are related to something in the Glossary of Symbols located on the inside back cover.

Problems 1 through 20 are multiple choice with 4 parts each.

One question which certainly could be asked for each of the first six problems is what the mean of that distribution is.

Problems 1 - 20 are 0.75 points per part (60 points).

Problems 21 - 23 are two points per part (24 points).

Problems 24 - 25 are one point per part (17 points).

Last updated: Sunday, April 28, 1996 at 12:56 am

Send comments to james@richland.edu.