Review of BUSA3322 Mary M. Whiteside

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

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

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

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

Excel options for means tests

Formula for equal proportions test Page 454 Exercise 13.73, a

Data analysis plus for proportions

Excel for equal variances test

Excel for Analysis of Variance

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

Chi Squared test of a contingency table For independence Pages Exercises 16.22, 16.24

Data analysis plus for Chi squared tests

Excel for regression

Data analysis plus for confidence and prediction intervals

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

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

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

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