1. Distinguish between categorical variables without order, categorical riables with order and
2. Select the appropriate graphic presentation for a set of data and generate the graph.
3. Construct frequency distributions.
4. Compute measures of central tendency (mean, median, and mode) and variability
(variance, standard deviation).
5. Select and use the appropriate laws of probability (additive, multiplicative, Bayes' Law).
6. Use the binomial and normal distributions to assess the probability and uncertainty of
7. Construct and interpret confidence intervals around means.
8. Differentiate between the research, null and alternative hypotheses.
9. Construct one and two-sided hypotheses.
10. Identify type I and type II errors, significance level, p value and power.
11. Determine the sample size needed for one- and two-sample tests on
12. Perform and interpret one-sample, two-sample, and paired t tests on
13. Perform and interpret the normal theory two-sample test of proportions.
14. Perform and interpret the F test to compare two variances.
15. Perform and interpret chi square tests of independence.
16. Compute the least squares estimate of slopes and intercepts for simple linear regression.
17. Test the hypothesis that a simple linear regression is significant.
18. Compute and interpret Pearson product moment correlation coefficients.
19. Construct graphs, charts and tables to communicate the results of statistical analyses
for decision making purpose.