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Minitab Student Handbook

by
Edition:
4th
ISBN13:

9780534370930

ISBN10:
0534370934
Format:
Paperback
Pub. Date:
6/14/2000
Publisher(s):
DUXBURY PRESS

Questions About This Book?

What version or edition is this?
This is the 4th edition with a publication date of 6/14/2000.
What is included with this book?
  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.

Summary

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.

Table of Contents

Introduction to Minitab
1(47)
Welcome to Minitab
1(15)
Using Windows
1(3)
Working with the Minitab Program Window
4(4)
Working with Menus
8(1)
Working with Dialog Boxes
9(2)
Getting Help
11(3)
Scrolling
14(1)
Understanding Minitab Windows
15(1)
Working with Data
16(8)
Missing Data
18(1)
Data Types
18(1)
Entering Data
18(3)
Editing Cell Contents
21(2)
Naming Columns
23(1)
Naming Worksheets
23(1)
Working with Minitab Windows
24(9)
Choosing Variables
24(1)
Performing Calculations in the Data Window
25(2)
Generating Statistics in the Session Window
27(1)
Creating a Graph in a Graph Window
28(1)
Opening the History Window
28(3)
Opening the Info Window
31(1)
Printing a Window
31(2)
Working with Minitab Projects
33(15)
Saving a Project
33(2)
Closing a Project and Exiting Minitab
35(1)
Opening a Project
36(2)
Saving Pieces of a Project
38(2)
Saving a Worksheet
40(1)
Saving Session, History, and Info Windows
40(1)
Saving a Graph
41(1)
Adding an Empty Worksheet to a Project
42(1)
Creating a New Project
42(1)
Opening a Worksheet
43(2)
Opening a Portable Worksheet
45(1)
Exercises
45(3)
Session Commands
48(36)
Enabling the Minitab Command Language
48(9)
Command Language
48(1)
Enabling the Command Language
48(2)
Executing a Command
50(1)
Command Syntax
50(3)
Minitab Command Box Format
53(1)
Subcommands
54(1)
Getting Session Command Help
55(2)
Useful Session Commands
57(16)
Entering Data
57(4)
Naming Columns
61(1)
Displaying Data in the Session Window
62(1)
Performing Calculations
63(4)
Saving and Retrieving Data
67(1)
Getting Worksheet Information
68(1)
Subsetting Data
69(4)
Working with the Contents of the Session Window
73(11)
Editing the Session Window
73(1)
Copying and Pasting Commands
74(3)
Copying Commands from the History Window
77(1)
Using the Command Line Editor
77(1)
Disabling the Command Language
78(1)
Exiting Minitab
78(1)
Exercises
79(5)
Worksheet Operations
84(32)
Editing the Worksheet
84(10)
Selecting Blocks of Data
85(1)
Inserting Data
85(2)
Clearing or Deleting Data
87(1)
Copying and Pasting Data
88(2)
Moving Columns
90(1)
Resizing Columns
90(1)
Formatting Columns
91(1)
Documenting Columns
92(2)
Manipulating Data
94(9)
Subsetting the Worksheet
94(2)
Stacking and Unstacking Columns
96(1)
Generating Patterned Data
97(1)
Reusing a Dialog Box
98(2)
Sorting Data
100(1)
Ranking Data
100(2)
Coding Data
102(1)
Importing and Exporting Data
103(6)
Portable Files
104(1)
Exchanging Data with Minitab-Compatible Applications
105(2)
Saving Data in a Text File
107(1)
Importing Files in Custom Formats
108(1)
Importing from a Database
108(1)
Working with Matrices
109(7)
Entering Data into a Matrix
109(1)
Viewing the Contents of a Matrix
110(1)
Performing Matrix Calculations
111(1)
Printing Matrices and Constants
112(1)
Exercises
113(3)
Summaries and Graphs
116(42)
Understanding Data Types
116(1)
Categorical Data
116(1)
Ordinal Data
117(1)
Interval Data
117(1)
Exploring Graphs in Minitab
117(9)
Changing Data Display
119(2)
Working with Multiple Graphs
121(1)
Annotating Graphs
121(1)
Modifying Graph Frames
122(1)
Modifying Graph Regions
122(2)
Exploring Unique Graph Features
124(1)
Editing Graphs
124(2)
Creating Single-Variable Graphs
126(10)
Creating a Histogram
126(5)
Creating a Dotplot
131(1)
Creating a Stem-and-Leaf Plot
132(2)
Creating a Pie Chart
134(2)
Generating One-Number Statistics
136(4)
Displaying Descriptive Statistics
136(2)
Displaying Column Statistics
138(1)
Displaying Row Statistics
139(1)
Creating a Boxplot
140(2)
Summarizing Categorical and Ordinal Data
142(3)
Tables
145(13)
Tables of Counts and Percents
146(2)
Tables of Summary Statistics
148(2)
Exercises
150(8)
Single-Variable Summaries and Graphs
158(21)
Creating Scatterplots
158(5)
Furnace Example
158(2)
Jittering Points
160(1)
Cartoon Example
161(2)
Creating Plots with Groups
163(1)
Creating Plots with Several Variables
164(4)
Creating Time Series Plots
168(11)
Indicating a Time Scale
170(1)
Using Time Series Plots to Find Problems
171(1)
Exercises
172(7)
Statistical Distributions
179(27)
The Normal Distribution
179(7)
Probability Density Function
179(3)
Cumulative Distribution Functions
182(3)
Inverse of the CDF
185(1)
The Binomial Distribution
186(4)
Calculating Binomial Probabilities with PDF
187(1)
Cumulative Distribution Function
188(1)
Inverse of the CDF
189(1)
Normal Approximation to the Binomial
190(3)
The Poisson Distribution
193(2)
Calculating Poisson Probabilities with PDF
193(1)
Cumulative Distribution Function
194(1)
Inverse of the CDF
195(1)
A Summary of Distributions in Minitab
195(11)
Continuous Distributions
195(3)
Discrete Distributions
198(1)
Exercises
199(7)
Statistical Distributions and Simulation
206(21)
Using Simulation to Learn about Randomness
206(1)
Bernoulli Trials
207(2)
Random Sequences
209(1)
Simulating Data from a Normal Distribution
209(6)
A Useful Trick for Simulating Data
213(2)
Simulating Data from the Binomial Distribution
215(2)
Simulating Data from the Poisson Distribution
217(2)
Sampling Finite Populations
219(1)
Simulation Data from Other Distribution
219(1)
The Base for the Random Number Generator
220(7)
Exercises
220(7)
One-Sample Confidence Intervals and Tests for Population Means
227(24)
How Sample Means Vary
228(2)
Confidence Interval for μ When σ Is Known
230(2)
Confidence Interval for μ When σ Is Not Known
232(2)
Test of Hypothesis for μ When σ Is Known
234(2)
Test of Hypothesis for μ When σ Is Not Known
236(2)
Practical Significance versus Statistical Significance
237(1)
Departures from Assumptions
238(13)
Nonrandomness
238(1)
Nonnormality
238(4)
Exercises
242(9)
Comparing Two Means: Confidence Intervals and Tests
251(18)
Paired and Independent Data
251(2)
Difference between Two Means: Paired Data
253(4)
Confidence Intervals
255(1)
Paired t-Test
256(1)
Difference between Two Means: Independent Samples
257(12)
Data in a Different Format
261(3)
Exercises
264(5)
Analysis of Variance
269(26)
Analysis of Variance with One Factor
269(5)
The One-Way Analysis of Variance Procedure
271(3)
Analysis of Variance with Two Factors
274(7)
Additive Models
275(2)
Models with Interactions
277(4)
Randomized Block Designs
281(3)
Residuals and Fitted Values
284(11)
One-Way Designs
284(1)
Two-Way Designs with an Interaction Term
285(1)
Additive Models and Randomized Block Designs
285(1)
Exercises
286(9)
Correlation and Regression
295(41)
Correlation
296(1)
Simple Regression: Fitting a Straight Line
297(4)
R-Squared (Coefficient of Determination)
301(1)
Making Inferences from Straight-Line Fits
301(5)
Conditions for Inference
302(1)
Interpreting the Output
303(3)
Multiple Regression
306(5)
Interpreting the Output
307(2)
Notation and Assumptions in Multiple Regression
309(1)
Confidence Intervals and Tests
309(2)
Fitting Polynomials
311(2)
Interpreting Residuals in Simple and Polynomial Regression
313(3)
Using Transformations
316(4)
Effect of Transformations on Assumptions
320(1)
Plotting Regression Lines
320(16)
Exercises
322(14)
Chi-Square Tests and Contingency Tables
336(16)
Chi-Square Goodness-of-Fit Test
336(2)
Contingency Tables
338(2)
Making the Table and Computing Chi-Square
340(2)
Tables with Small Expected Counts
342(10)
Exercises
344(8)
Nonparametric Statistics
352(26)
Sign Procedures
353(4)
Sign Tests
354(1)
Sign Confidence Intervals
355(1)
Paired Data
356(1)
Wilcoxon Signed Rank Procedures
357(4)
Wilcoxon Signed Rank Test
358(2)
Wilcoxon Confidence Interval
360(1)
Two-Sample Rank Procedures
361(2)
An Example
361(2)
Kruskal-Wallis Test
363(2)
Technical Details (Optional)
365(13)
Sign Confidence Interval
365(1)
Wilcoxon Signed Rank Test and Confidence Interval
366(2)
Mann-Whitney Test and Confidence Interval
368(2)
Exercises
370(8)
Control Charts
378(16)
Control Charts and Process Variation
378(1)
Control Charts for Measurement Data
379(9)
Charts for Means
379(5)
Charts for Dispersion
384(3)
Unequal Subgroup Sizes
387(1)
Control Charts for Attribute Data
388(6)
Exercises
391(3)
Additional Topics in Regression
394(12)
Variable Selection in Regression
394(6)
Stepwise Regression
395(2)
Best Subsets Regression
397(3)
Diagnostics in Regression
400(3)
Diagnostics for Individual Observations
400(1)
Regression Options
401(2)
Additional Regression Features
403(3)
Storage of Some Results
403(1)
Weighted Regression
403(1)
Ill-Conditioned Data
404(1)
Exercises
405(1)
Additional Topics in Analysis of Variance
406(32)
Multiple Comparisons with One-Way
406(4)
Fisher's Least Significant Difference (LSD)
407(1)
Tukey's Honestly Significant Difference (HSD)
407(1)
Dunnett's Procedure
408(1)
Example Using Fabric Data
408(2)
Multifactor Balanced Designs
410(3)
Example Using the Potato Rot Data
411(2)
Unbalanced Designs
413(6)
Models in GLM
415(1)
Regression Approach to Analysis of Variance
416(3)
Analysis of Covariance
419(5)
Regression Approach to Analysis of Covariance
421(3)
Random Effects and Mixed Models
424(14)
Mixed Models, Expected Mean Squares, and Variance Components
427(2)
Three-Factor Mixed Model
429(3)
Exercises
432(6)
Macros
438(6)
Minitab Macros
438(1)
Storing Commands
438(3)
Invoking a Macro
441(1)
Looping through Commands
442(2)
Exercises
443(1)
Appendix 444(9)
Index 453(8)
Credits 461


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