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Written by developers Barbara Ryan and Brian Joiner, and professor of statistics Jon Cryer, this text illustrates by example and step-by-step instruction how to use MINITAB 16 to explore and analyze data. The book introduces readers to MINITAB software while understanding that they may also be learning statistics at the same time. The authors illustrate how statistical concepts apply to data analysis through examples. More than 4,000 colleges, universities, and high schools rely on MINITAB, making this software the educational standard. Because MINITAB is the leading package used in industry for quality and process improvement, students who learn MINITAB in class will have the advantage of knowing how to use a real-world business tool.
- The sixth edition reflects substantial changes in the Minitab software and in statistics teaching that have occurred since the fifth edition was published.
- Today’s students are most comfortable using a menu-driven interface, so the sixth edition teaches Minitab procedures using mostly the menus. Session commands, however, are introduced early on and referred to throughout the book so that students will learn that they can accomplish some procedures more efficiently with commands.
- The book is based on Minitab, Release 16, first available in 2011. Release 16 is the most comprehensive release to date and includes substantial new features.
- This edition makes significant use of Minitab’s latest graphics capabilities and enhances several features, such as plot editing, brushing and jittering, 3D graph rotation, interaction plots, and more.
- A chapter on Creating Reports is included and the new Minitab Assistant is introduced in several chapters.
- Chapter 2 introduces Session commands so that you will be prepared to use these commands later in the book when necessary.
- Chapter 3 introduces all Worksheet operations in order to introduce students to the procedures they will need later on to carry out such simple operations as stacking columns or sorting data.
- This handbook teaches how to do data analysis using MINITAB 16.
- Aspects of statistics are emphasized that are particularly appropriate to computer use.
- Numerous examples and exercises that demonstrate step-by-step how to use the computer to explore and analyze data are included.
- The handbook offers modular coverage to allow professors to choose the order of topics.
- The sixth edition has been thoroughly updated to reflect Release 16 of the MINITAB software.
- Contains a chapter on MINITAB's report capabilities.
- Those new to Windows and Minitab will find Chapter 1 helpful in introducing the menu interface and the data management techniques available with projects.
Welcome to Minitab. Working with Data. Working with Minitab Windows. Working with Minitab Projects. The Project Manager.
2. SESSION COMMANDS.
The Minitab Command Language. Useful Session Commands. Working with the Contents of the Session Window.
3. WORKSHEET OPERATIONS.
Editing the Worksheet. Manipulating Data. Importing and Exporting Data.
4. ONE-VARIABLE GRAPHS AND SUMMARIES.
Understanding Variable Types. Exploring Graphs in Minitab. Creating Distribution Plots 102. Histograms 111. Descriptive Statistics. Creating a Boxplot. Summarizing and Displaying Categorical Data.
5. TWO- AND THREE-VARIABLE GRAPHS.
Creating Scatterplots. Creating Plots with Groups. Creating Plots with Several Variables. Graph Editing and Annotation. Graphs with Three or More Variables. Creating Time Series Plots.
6. STATISTICAL DISTRIBUTIONS.
The Normal Distribution.The Binomial Distribution. Normal Approximation to the Binomial. The Poisson Distribution. A Summary of the Theoretical Distributions in Minitab
Learning about Randomness. Bernoulli Trials. Simulating Data from a Normal Distribution. Simulating Data from the Binomial Distribution. Sampling from Other Distributions. Sampling Actual Populations. The Base for the Random Number Generator. The Central Limit Theorem.
8. ONE-SAMPLE CONFIDENCE INTERVALS AND TESTS FOR MEANS.
How Sample Means Vary. Confidence Interval for μ. Test of Hypothesis for μ. Confidence Intervals and Tests for Proportions. Departures from Assumptions. Hypothesis Tests with the Minitab Assistant 262
9. COMPARING TWO MEANS: CONFIDENCE INTERVALS AND TESTS.
Paired and Independent Data. Difference Between Two Means: Paired Data. Difference Between Two Means. Two-Sample Procedures with the Minitab Assistant .
10. ANALYSIS OF VARIANCE.
Analysis of Variance with One Factor. Analysis of Variance with Two Factors. Randomized Block Designs. Residuals and Fitted Values.
11. REGRESSION AND CORRELATION.
Correlation. Simple Regression: Fitting a Straight Line. Making Inferences from Straight-Line Fits. Multiple Regression. Fitting Polynomials. Interpreting Residuals in Simple and Polynomial Regression. Using Transformations. Plotting Regression Lines, Planes and Surfaces. Regression with the Minitab Assistant.
12. CHI-SQUARE TESTS AND CONTINGENCY.
Chi-Square Goodness-of-Fit Test. Contingency Tables. Making the Table and Computing Chi-Square. Tables with Small Expected Counts.
13. NONPARAMETRIC STATISTICS.
Sign Procedures. Wilcoxon Signed Rank Procedures. Two-Sample Rank Procedures. Kruskal-Wallis Test.
14. CONTROL CHARTS.
Control Charts and Process Variation. Control Charts for Measurement Data. Control Charts for Attribute Data. Control Charts with the Minitab Assistant.
15. ADDITIONAL TOPICS IN REGRESSION.
Variable Selection in Regression. Diagnostics in Regression. Additional Regression Features.
16. ADDITIONAL TOPICS IN ANALYSIS OF VARIANCE.
Multiple Comparisons with One-Way. Multifactor Balanced Designs. Unbalanced Designs. Analysis of Covariance. Random Effects and Mixed Models.
17. CREATING A STATISTICAL REPORT.
Adding Session Output to the ReportPad. Adding a Graph to the ReportPad. Editing in ReportPad. Saving a Report. Copying a Report to a Word Processor.
18. MINITAB MACROS.
Global Macros. Writing a Macro. Invoking a Macro. Variable Column and Row Numbers. Control Statements. Available Macros.
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