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Minitab Handbook

ISBN: 9780534212407 | 0534212409
Edition: 3rd
Format: Paperback
Publisher: Duxbury Press
Pub. Date: 3/29/1994

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SummaryTable of Contents
Master MINITAB, the leading software package used in industry for quality and process improvement with the MINITAB HANDBOOK: UPDATED FOR RELEASE 14. This book illustrates by example and step-by-step instruction how to use MINITAB 14 to explore and analyze data and uses examples to illustrates how statistical concepts apply to data analysis. More than 4,000 colleges, universities, and high schools rely on MINITAB, making this software the educational standard.
Part One: Overview of Minitab1(78)
1 Introduction to Minitab
3(21)
1.1 Versions of Minitab
3(1)
... MORE
1.2 A Simple Example
4(4)
1.3 A Brief Overview of Minitab
8(6)
1.4 Some Basic Minitab Capabilities
14(10)
2 Versions of Minitab
24(55)
2.1 Command Versions
25(8)
2.2 Release 8 DOS
33(15)
2.3 Release 8 Macintosh
48(13)
2.4 Release 9 Windows
61(14)
2.5 Release 9 on VAX/VMS and UNIX Workstations
75(4)
Part Two: Basic Methods79(280)
3 One Variable: Displays and Summaries
81(32)
3.1 Three Basic Types of Data
81(2)
3.2 Histograms
83(3)
3.3 Dotplots
86(2)
3.4 Stem-and-Leaf Displays
88(5)
3.5 One-Number Statistics
93(6)
3.6 Boxplots
99(1)
3.7 Summarizing Categorial and Ordinal Data
100(2)
3.8 Optional Material on High-Resolution Graphs
102(11)
4 Plotting Data
113(32)
4.1 Scatterplots
113(6)
4.2 Plots with Groups
119(2)
4.3 Plots with Several Variables
121(5)
4.4 Time Series Plots
126(5)
4.5 Optional Material on High-Resolution Graphs
131(14)
5 Tables
145(10)
5.1 Tables of Counts and Percents
146(4)
5.2 Tables for Related Variables
150(5)
6 Statistical Distributions
155(27)
6.1 The Normal Distribution
155(9)
6.2 The Binomial Distribution
164(5)
6.3 Normal Approximation to the Binomial
169(3)
6.4 The Poisson Distribution
172(6)
6.5 A Summary of Distributions in Minitab
178(4)
7 Statistical Distributions and Simulation
182(21)
7.1 Using Simulation to Learn About Randomness
182(1)
7.2 Bernoulli Trials
183(4)
7.3 Simulating Data from a Normal Distribution
187(7)
7.4 Simulating Data from the Binomial Distribution
194(3)
7.5 Simulating Data from the Poisson Distribution
197(2)
7.6 Sampling Finite Populations
199(1)
7.7 Simulation Data from Other Distributions
200(2)
7.8 The Base for the Random Number Generator
202(1)
8 One-Sample Confidence Intervals and Tests for Population Means
203(24)
8.1 How Sample Means Vary
204(4)
8.2 Confidence Interval for (XXX) When (Sigma) Is Known
208(5)
8.3 Confidence Interval for (XXX) When (Sigma) Is Not Known
213(2)
8.4 Test of Hypothesis for (XXX) When (Sigma) Is Known
215(4)
8.5 Test of Hypothesis for (XXX) When (Sigma) Is Not Known
219(2)
8.6 Departures from Assumptions
221(6)
9 Comparing Two Means: Confidence Intervals and Tests
227(18)
9.1 Paired and Independent Data
228(2)
9.2 Difference Between Two Means: Paired Data
230(5)
9.3 Difference Between Two Means: Independent Samples
235(10)
10 Analysis of Variance
245(27)
10.1 Analysis of Variance with One Factor
245(9)
10.2 Analysis of Variance with Two Factors
254(10)
10.3 Randomized Block Designs
264(5)
10.4 Residuals and Fitted Values
269(3)
11 Correlation and Regression
272(43)
11.1 Correlation
272(5)
11.2 Simple Regression: Fitting a Straight Line
277(6)
11.3 Making Inferences from Straight-Line Fits
283(7)
11.4 Multiple Regression
290(6)
11.5 Fitting Polynomials
296(3)
11.6 Interpreting Residuals in Simple and Polynomial Regression
299(5)
11.7 Using Transformations
304(6)
11.8 Some Additional Features of REGRESS
310(1)
11.9 Optional Material on High-Resolution Graphs
311(4)
12 Chi-Square Tests and Contingency Tables
315(17)
12.1 Chi-Square Goodness-of-Fit Test
315(4)
12.2 Contingency Tables
319(7)
12.3 Making the Table and Computing Chi-Square
326(2)
12.4 Tables with Small Expected Counts
328(4)
13 Nonparametric Statistics
332(27)
13.1 Sign Procedures
333(8)
13.2 Wilcoxon Signed Rank Procedures
341(5)
13.3 Two-Sample Rank Procedures
346(5)
13.4 Kruskal-Wallis Test
351(3)
13.5 Technical Details (Optional)
354(5)
Part Three: Additional Topics359
14 Control Charts
361(21)
14.1 Control Charts and Process Variation
361(1)
14.2 Control Charts for Measurement Data
362(13)
14.3 Control Charts for Attribute Data
375(5)
14.4 Optional Material for Releases 8 and 9
380(2)
15 Additional Topics in Regression
382(14)
15.1 Variable Selection in Regression
382(7)
15.2 Diagnostics in Regression
389(3)
15.3 Additional Features of REGRESS
392(4)
16 Additional Topics in Analysis of Variance
396(34)
16.1 Multiple Comparisons with ONEWAY
396(6)
16.2 Multifactor Balanced Designs
402(5)
16.3 Unbalanced Designs
407(8)
16.4 Analysis of Covariance
415(4)
16.5 Random Effects and Mixed Models
419(11)
17 Additional Features of Minitab
430
17.1 How to COPY and Subset Data
430(3)
17.2 How to STACK and UNSTACK Data
433(2)
17.3 How to Change Values with CODE
435(1)
17.4 How to SORT and RANK Data
436(2)
17.5 Formatted Input and Output of DATA
438(3)
17.6 Matrix Calculations
441(3)
17.7 Stored Command Files
444
Appendixes
A Data Sets Used in This HandbookA-1
B Quick Reference for CommandsA-8
References
Index

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