1. Review of BUSA3322 Mary M. Whiteside

2. Methodologies Two sample tests Analysis of variance Chi square tests Simple regression Multiple regression Time series analysis SPC in quality and productivity management Decision analysis

3. Two sample tests Tests for equal means with independent samples (Z and t) Quantitative variable Test for equal means with related (paired) samples (t) Quantitative variable Test for equal proportions (z) Categorical, 0 -1 variable Test for equal variances (F) Quantitative variable

4. Tests for equal means and confidence intervals with independent samples Z - Variances known t n1 + n2 - 2 - Variances unknown but assumed equal t Satterthwaite - Variances unknown and not assumed equal

5. Test for equal means with related samples t n-1 Test for equal proportions Z with n*p > 5 and n*(1-p) > 5 Test for equal variances F with n 1 -1 and n 2 -1 degrees of freedom

6. Excel options for means tests

7. Formula for equal proportions test Page 454 Exercise 13.73, a

8. Data analysis plus for proportions

9. Excel for equal variances test

10. Excel for Analysis of Variance

11. Data analysis plus for Fisher’s LSD, Tukey-Kramer, and Bonferroni multiple comparisons

12. Chi Squared test of a contingency table For independence Pages 558 - 559 Exercises 16.22, 16.24

13. Data analysis plus for Chi squared tests

14. Excel for regression

15. Data analysis plus for confidence and prediction intervals

16. Time series analysis Analyze charts of data, moving averages and trend lines for components of variation Compute and use seasonal index numbers To seasonally adjust data To put seasonality in a forecast

17. Decision analysis Construct payoff tables Construct opportunity cost tables Make maximax decisions Make maximin decisions Make minimax decisions Make expected payoff decisions Make expected opportunity cost decisions Compute EVPI

18. SPC in quality and productivity management Identify philosophies of TQM, Deming and Six Sigma Compute control limits for the X-bar chart, page 784 Compute control limits for the S chart with data analysis plus Compute control limits for the p chart, page 797

19. Understanding concepts of statistical inference Randomness Significance Rejecting a null hypothesis Failing to reject a null hypothesis Importance Correlation Causation Variability Time series SPC