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Tables of Contents for A Minitab Guide to Statistics
Chapter/Section Title
Page #
Page Count
Preface
vii
Introduction to Minitab
1
18
Accessing Minitab
1
3
Minitab Worksheet
4
1
Menu and Session Commands
5
2
Entering Data from the Keyboard
7
8
Printing Your Work
15
4
Managing Files and Data
19
26
Importing Data from Other Applications
19
2
Manipulating Data
21
8
Minitab Graphs
29
4
Doing Arithmetic
33
1
Miscellaneous Topics
34
7
Appendix Other Minitab Files
41
4
Describing Qualitative Data
45
20
Graphs for Qualitative Data
45
8
Classifying Qualitative Data
53
12
Describing Quantitative Data
65
26
Graphs for Quantitative Data
65
5
Numerical Descriptive Measures
70
3
Interpreting the Standard Deviation
73
2
Measures of Relative Standing
75
16
Probability Distributions
91
30
Discrete Random Variables
91
3
Special Discrete Random Variables
94
12
Continuous Random Variables
106
10
Other Probability Distributions
116
5
Sampling and Sampling Distributions
121
36
Statistical Sampling Techniques
121
15
The Sampling Distribution of the Sample Mean
136
5
The Central Limit Theorem
141
16
Inferences Based on a Single Sample
157
37
Estimating a Population Mean
157
8
Testing a Hypothesis about a Population Mean
165
10
Inferences about a Population Proportion
175
5
Estimating a Population Variance
180
2
Test for Normality
182
3
The Sign Test for Location of a Single Population
185
9
Inferences Based on Two Samples
194
25
Making Inferences about μ1-μ2: Independent Sampling
194
3
Making Inferences about μd: Matched Pairs
197
4
Making Inferences about π1-π2
201
3
Comparing Two Population Variances
204
2
Comparing Two Population Medians
206
13
Simple Linear Regression
219
20
Introduction to Regression Analysis
219
9
Interval Estimation and Prediction
228
11
Multiple Regression
239
32
The General Linear Model
239
15
Models with Qualitative Independent Variables
254
3
Testing Portions of a Model
257
2
Residual Analysis
259
4
Stepwise Regression
263
8
Analysis of Variance
271
34
The Completely Randomized Design
271
7
Randomized Block Designs
278
4
Factorial Designs
282
7
Multiple Comparisons of Means
289
5
Checking Model assumptions
294
3
A Nonparametric Test for a Completely Randomized Design
297
8
Introduction to Process and Quality Control
305
16
General Characteristics of Control Charts
305
1
Chart for Individual Observations: I Chart
306
2
Control Chart for Means: x-chart
308
3
Control Chart for Process Variation: R-Chart
311
2
Control Chart for a Process Proportion: P-Chart
313
2
Control Chart for Number of Defects: C-Chart
315
6
Time Series and Index Numbers
321
20
Graphical Description of Time Series
321
2
Index Numbers
323
7
Smoothing Methods
330
11
Time Series Models and Forecasting
341
24
Forecasting Models and Accuracy Measures
341
1
Forecasting Using Smoothing Methods
342
4
Forecasting Models with Trend
346
5
Forecasting Models with Seasonality and Trend
351
7
Autocorrelation
358
7
Categorical Data Analysis
365
18
Multinomial Probability Distribution
365
7
Contingency Analysis
372
11
Survey Analysis
383
4
Appendix
387
12
A Microcomputer Information
387
6
B Description of Data Sets
393
6
Index
399