MINITAB Guide to Statistics

MINITAB Guide to Statistics

by Ruth Meyer, David Krueger, Krueger
     
 

ISBN-10: 0137842325

ISBN-13: 9780137842322

Pub. Date: 10/28/1997

Publisher: Prentice Hall Professional Technical Reference

The manual provides readers with a complete introduction to Minitab and the tools they need to run statistical procedures, from descriptive statistics to time series analysis, using Minitab. Interpretation of numerical and graphical output is included. Menu and session commands are described and illustrated. Step-by-step instructions

Overview

The manual provides readers with a complete introduction to Minitab and the tools they need to run statistical procedures, from descriptive statistics to time series analysis, using Minitab. Interpretation of numerical and graphical output is included. Menu and session commands are described and illustrated. Step-by-step instructions indicate how to manipulate and analyze data. Real-life examples, exercises, and data sets from business, education, sciences, sports, etc. Interpretation of numerical and graphical output. For readers interested in business statistics using the Minitab statistical software package.

Product Details

ISBN-13:
9780137842322
Publisher:
Prentice Hall Professional Technical Reference
Publication date:
10/28/1997
Edition description:
Older Edition
Pages:
403
Product dimensions:
7.02(w) x 9.26(h) x 1.01(d)

Table of Contents

Preface
1Introduction to Minitab1
1.1Accessing Minitab1
1.2Minitab Worksheet5
1.3Menu and Session Commands7
1.4Entering Data from the Keyboard10
1.5Printing Your Work19
2Managing Files and Data23
2.1Importing Data from Other Applications23
2.2Manipulating Data26
2.3Minitab Graphs35
2.4Doing Arithmetic40
2.5Miscellaneous Topics41
AppendixOther Minitab Files48
3Describing Qualitative Data53
3.1Graphs for Qualitative Data53
3.2Classifying Qualitative Data61
4Describing Quantitative Data73
4.1Graphs for Quantitative Data73
4.2Numerical Descriptive Measures79
4.3Interpreting the Standard Deviation83
4.4Measures of Relative Standing84
5Probability Distributions103
5.1Discrete Random Variables103
5.2Special Discrete Random Variables107
5.3Continuous Random Variables119
5.4Other Probability Distributions129
6Sampling and Sampling Distributions135
6.1Statistical Sampling Techniques135
6.2The Sampling Distribution of the Sample Mean151
6.3The Central Limit Theorem159
7Inferences Based on a Single Sample175
7.1Estimating a Population Mean175
7.2Testing a Hypothesis about a Population Mean183
7.3Inferences about a Population Proportion194
7.4Estimating a Population Variance199
7.5Test for Normality201
7.6Sign Test for Location of a Single Population204
8Inferences Based on Two Samples213
8.1Making Inferences about [mu subscript 1] - [mu subscript 2]: Independent Sampling213
8.2Making Inferences about [mu subscript d]: Matched Pairs218
8.3Making Inferences about [pi subscript 1] - [pi subscript 2]222
8.4Comparing Two Population Variances225
8.5Comparing Two Population Medians227
9Simple Linear Regression241
9.1Introduction to Regression Analysis241
9.2Interval Estimation and Prediction250
10Multiple Regression261
10.1The General Linear Model261
10.2Models with Qualitative Independent Variables277
10.3Testing Portions of a Model279
10.4Residual Analysis282
10.5Stepwise Regression286
11Analysis of Variance293
11.1The Completely Randomized Design293
11.2Randomized Block Designs300
11.3Factorial Designs304
11.4Multiple Comparisons of Means310
11.5Checking Model Assumptions316
11.6Nonparametric Test for a Completely Randomized Design318
12Introduction to Process and Quality Control327
12.1General Characteristics of Control Charts327
12.2Chart for Individual Observations: I Chart328
12.3Control Chart for Means: x-Chart330
12.4Control Charts for Process Variation333
12.5Control Chart for a Process Proportion: P-Chart336
12.6Control Chart for Number of Defects: C-Chart338
13Time Series and Index Numbers345
13.1Graphical Description of Time Series345
13.2Index Numbers347
13.3Smoothing Methods354
14Time Series Models and Forecasting367
14.1Forecasting Models and Accuracy Measures367
14.2Forecasting Using Smoothing Methods368
14.3Forecasting Models with Trend372
14.4Forecasting Models with Seasonality and Trend377
14.5Autocorrelation384
15Categorical Data Analysis391
15.1Multinomial Distribution391
15.2Contingency Analysis399
16Survey Analysis409
Appendix413
Index417

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >