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MINITAB Handbook: Updated for Release 14, by Barbara F. Ryan, Brian L. Joiner, Jonathan D. Cryer
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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 14 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.
- Sales Rank: #948468 in Books
- Brand: Brand: Brooks/Cole - Thomson Learning Inc.
- Published on: 2005-01-01
- Original language: English
- Number of items: 1
- Dimensions: .76" h x 7.42" w x 9.20" l, 1.77 pounds
- Binding: Paperback
- 505 pages
- Used Book in Good Condition
Review
1. INTRODUCTION TO MINITAB. Welcome to MINITAB. Working with Data. Working with MINITAB Windows. Working with MINITAB Projects. The Project Manager. Exercises. 2. SESSION COMMANDS. Enabling the MINITAB Command Language. Useful Session Commands. Working with the Contents of the Session Window. Exercises. 3. WORKSHEET OPERATIONS. Editing the Worksheet. Manipulating Data. Importing and Exporting Data. Exercises. 4. ONE-VARIABLE GRAPHS AND SUMMARIES. Understanding Variable Types. Exploring Graphs in MINITAB. Creating Distribution Plots. Histograms. Descriptive Statistics. Creating a Boxplot. Summarizing and Displaying Categorical Data. Exercises. 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. Exercises. 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. Exercises. 7. SIMULATION. Learning About Randomness. Bernoulli Trials. Simulating Data from a Normal Distribution. Simulating Data from the Binomial Distribution. Simulating Data from Other Distributions. Sampling Actual Populations. The Base for the Random Number Generator. The Central Limit Theorem. Exercises. 8. ONE-SAMPLE CONFIDENCE INTERVALS AND TESTS FOR MEANS. How Sample Means Vary. Confidence Intervals for . Test of Hypothesis for . Confidence Intervals and Tests for Proportions. Departures from Assumptions. Exercises. 9. COMPARING TWO MEANS: CONFIDENCE INTERVALS AND TESTS. Paired and Independent Data. Difference between Two Means: Paired Data. Difference Between Two Means: Independent Samples. Exercises. 10. ANALYSIS OF VARIANCE. Analysis of Variance with One Factor. Analysis of Variance with Two Factors. Randomized Block Designs. Residuals and Fitted Values. Exercises. 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 Regressions Lines and Planes. Exercises. 12. CHI-SQUARE TESTS AND CONTINGENCY TABLES. Chi-Square Goodness-of-Fit Test. Contingency Tables. Making the Table and Computing Chi-Square. Tables with Small Expected Counts. Exercises. 13. NONPARAMETRIC STATISTICS. Sign Procedures. Wilcoxon Signed Rank Procedures. Two-Sample Rank Procedures. Kruskal-Wallis Test. Exercises. 14. CONTROL CHARTS. Control Charts and Process Variation. Control Charts for Measurement Data. Control Charts for Attribute Data. Exercises. 15. ADDITIONAL TOPICS IN REGRESSION. Variable Selection in Regression. Diagnostics in Regression. Additional Regression Features. Exercises. 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. Exercises. 17.CREATING A 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. Exercises. 18. MINITAB MACROS. Global Macros. Writing a Macro. Invoking a Macro. Variable Column and Row Numbers. Control Statements. Available Macros. Exercises. APPENDIX A: DATA SETS USED IN THIS HANDBOOK. CREDITS. INDEX.
Most helpful customer reviews
13 of 16 people found the following review helpful.
Good Book for Reference
By H. Kang
This is a good book for reference. I use minitab at work and this has proved useful, better than Rath & Strong's "Guide to Minitab" which I also have.
6 of 7 people found the following review helpful.
A very rudimentary "Handbook" that has a specific target audience
By dr_canak
Note, this review refers to the edition that covers up to version 13 of Minitab. But unless the authors have radically re-tooled, then there is no reason to believe there is any major change between my edition and the next one. This assumption is based on reading other reviews of the most recent edition of this handbook.
If you know nothing about Minitab, and you are overwhelmed by the Minitab help files, then this book may be for you. Unfortunately, if you are like me and have a decent understanding of Minitab, then this book will add little or nothing to your existing knowledge base.
I would imagine the target audience is a group of people who have been tasked with analysis at work, and take some sort of workshop/class that covers Minitab with this book used as a "textbook." Further, I would imagine folks taking such a class have never before used Minitab. The book is laid out with chapters/exercises that cover the most rudimentary level of statistics and how to get them with Minitab. There is also some narrative to help interpret findings contained within each chapter. Not bad if these are new concepts for folks, but not appropriate for people who already have even a basic understanding of minitab or other statistical packages.
The book is written by the founders of Minitab, and as I suggest earlier, is really designed to be a primer to get people up and running with Minitab as quickly as possible, without a great deal of breadth or depth. The Minitab help files are insanely extensive (and some of the best I've seen), but as a result are sometimes complicated to navigate. Plus, some of the application help is predicated on a an existing knowledge of Minitab, so you have to know what to search for.
To sum up, if you have no previous knowledge or experience with Minitab, or any other stat packages (e.g. spss, sas, etc...), then this handbook is a decent resource. On the other hand, if you already have a baseline knowledge of Minitab or other packages, I would look elsewhere. Either rely on the Minitab help files themselves, or try to snag the most recent version you can find of the "Minitab Reference Manual." At least the reference manual goes into much greater depth regarding command structure, available commands, and a decent treatment of macros.
1 of 1 people found the following review helpful.
An Excellent Introduction to Statistics
By Jan Peczkis
I retained this old (second edition first printed in 1985) handbook because it describes statistics so well. My review does not comment on the computer program.
Good application examples are provided of such things as random numbers, Bernoulli trials, the binomial theorem, the Poisson distribution, and much more.
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