Minitab handbook
著者
書誌事項
Minitab handbook
Duxbury, c2001
4th ed
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
The 4th edition of this handbook is based on Minitab Version 12. Material on graphical displays is integrated into chapters on testing and estimation. Simulation has its own chapter and material on multiway analysis of variance is included. The text shows by example and step-by-step instruction how to use Minitab to explore and analyze data.
目次
PART I: OVERVIEW OF MINITAB 1. INTRODUCTION TO MINITAB Versions of Minitab / A Simple Example / A Brief Overview of Minitab / Some Basic Minitab Capabilities 2. VERSIONS OF MINITAB Command Versions / Release 8 DOS / Release 8 Macintosh / Release 9 Windows / Release 9 on VAX/VMS and UNIX Workstations PART II: BASIC METHODS 3. ONE VARIABLE: DISPLAYS AND SUMMARIES Three Basic Types of Data / Histograms / Dotplots / Stem-and-Leaf Displays / One-Number Statistics / Boxplots / Summarizing Categorical and Ordinal Data / Optional Material on High-Resolution Graphs 4. PLOTTING DATA Scatterplots / Plots with Groups / Plots with Several Variables / Time Series Plots / Optional Material on High-Resolution Graphs 5. TABLES Tables of Counts and Percents / Tables for Related Variables 6. STATISTICAL DISTRIBUTIONS The Normal Distribution / The Binomial Distribution / Normal Approximation to the Binomial / The Poisson Distribution / A Summary of Distributions in Minitab 7. STATISTICAL DISTRIBUTIONS AND SIMULATION Using Simulation to Learn About Randomness / Bernoulli Trials / Simulating Data from a Normal Distribution / Simulating Data from the Binomial Distribution / Simulating Data from the Poisson Distribution / Sampling Data from Other Distributions / The Base for the Random Number Generator 8. ONE-SAMPLE CONFIDENCE INTERVALS AND TESTS FOR POPULATION MEANS How Sample Means Vary / Confidence Interval for m When s is Known / Confidence Interval for m When s Is Not Known / Test of Hypothesis for m When s Is Known / Test of Hypothesis for m When s Is Not Known / Departures from Assumptions 9. COMPARING TWO MEANS: CONFIDENCE INTERVALS AND TESTS Paired and Independent Data / Difference Between Two Means: Paired Data / Difference Between Two Means: Independent Samples 10. ANALYSIS OF VARIANCE Analysis of Variance with One Factor / Analysis of Variance with Two Factors / Randomized Block Designs / Residuals and Fitted Values 11. CORRELATION AND REGRESSION 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 / Some Additional Features of REGRESS / Optional Material on High-Resolution Graphs 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. (Part contents).
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