1. Introduction to Minitab. Accessing Minitab. Minitab Worksheet. Menu and Session Commands. Entering Data from the Keyboard. Printing Your Work.
2. Managing Files and Data. Importing Data from Other Applications. Manipulating Data. Minitab Graphs. Doing Arithmetic. Miscellaneous Topics. Appendix: Other Minitab Files.
3. Describing Qualitative Data. Graphs for Qualitative Data. Classifying Qualitative Data.
4. Describing Quantitative Data. Graphs for Quantitative Data. Numerical Descriptive Measures. Interpreting the Standard Deviation. Measures of Relative Standing.
5. Probability Distributions. Discrete Random Variables. Special Discrete Random Variables. Continuos Random Variables. Other Probability Distributions.
6. Sampling and Sampling Distributions. Statistical Sampling Techniques. The Sampling Distribution of the Sample Mean. The Central Limit Theorem.
7. Inferences Based on a Single Sample. Estimating a Population Mean. Testing a Hypothesis about a Population Mean. Inferences about a Population Proportion. Estimating a Population Variance. Test for Normality. Sign Test for Location of a Single Population.
8. Inferences Based on Two Samples. Making Inferences about Independent Sampling. Making Inferences about Matched Pairs. Making Inferences about pi. Comparing Two Population Variances. Comparing Two Population Medians.
9. Simple Linear Regression. Introduction to Regression Analysis. Interval Estimation and Predication.
10. Multiple Regression. The General Linear Model. Models with Qualitative Independent Variables. Testing Portions of a Model. Residual Analysis. Stepwise Regression.
11. Analysis of Variance. The Completely Randomized Design. Randomized Block Designs. Factorial Designs. Multiple Comparisons of Means. Checking Model Assumptions. Nonparametric Test for a Completely Randomized Design.
12. Introduction to Process and Quality Control. General Characteristics of Control Charts. Chart for Individual Observations: I Chart. Control Chart for Means. Control Charts for Process Variation. Control Chart for a Process Proportion: P-Chart. Control Chart for a Number of Defects: C-Chart.
13. Time Series and Index Numbers. Graphical Description of Time Series. Index Numbers. Smoothing Methods.
14. Time Series Models and Forecasting. Forecasting Models and Accuracy Measures. Forecasting Using Smoothing Methods. Forecasting Models with Trend. Forecasting Models with Seasonality and Trend. Autocorrelation.
15. Categorical Data Analysis. Multinomial Distribution. Contingency Analysis.
16. Survey Analysis. Appendix. Index. 