Minitab handbook / Barbara F. Ryan, Brian L. Joiner & Thomas A. Ryan, Jr.

Table of content

1 Introduction to Manitiba
1.1 A sample Example : Blood Cholesterol Level changes
1.2 A Brief overview of Manitiba
1.3 Some Basic Manitiba Capabilities
etc

2 One Variable: Displays and Summaries
2.1 Three Basic Types of Data
2.2 Histograms
2.3 Dotplots
etc

3 Plotting Data
3.1 Scatterplots
3.2 Plots with symbols
3.3 Time Series Plots
3.4 Transformations

4 Tables
4.1 Tables of Counts and Percents
4.2 Tables of Related Variables
4.3 Advanced Features of Table

5 Comparing two or More Sets of Data
5.1 Paired and Independent Data
5.2 Comparing two Independent Sets of Data
5.3 Paired Data
etc

6 Statistical Distributions and Simulation
6.1 Bernoulli Trials
6.2 The Normal Distribution
6.3 The Binomial Distribution
etc

7 One Sample Confidence Intervals and Tests for population Means
7.1 How Sample Means Vary
7.3 Confidence Interval for u when q is not known
etc

8 Comparing two Means: Confidence Intervals and Tests
8.1 Difference between two means: Paired Data
8.2 Difference Between Two Means : Independent Samples

9 Analysis of Variance
9.1 One Way Analysis of Variance
9.2 Randomized Block Design
9.3 Analysis of Variance with two Factors
9.4 Residuals and Additive models

10 Correlation and regression
10.1 Correlation
10.2 Simple Regression: Fitting a Straight Line
10.3 Making Inferences from Straight line Fits
10.4 Multiple Regression
etc

11 Chi-Square Tests and Contingency Tables
11.1 Chi.1 Chi-Square Goodness of fit Test
11.2 Contingency Tables
11.3 Making the Table and Comparing Chi-Square
etc

12 Nonparametric Statistics
12.1 Sign Procedures
12.2 Wilcoxon Signed Rank Procedures
12.3 Two Sample Rank Procedures

Includes bibliographical references . _ Index : p. 375-379