# MINITAB Guide to Statistics

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)

## Related Subjects

 Preface 1 Introduction to Minitab 1 1.1 Accessing Minitab 1 1.2 Minitab Worksheet 5 1.3 Menu and Session Commands 7 1.4 Entering Data from the Keyboard 10 1.5 Printing Your Work 19 2 Managing Files and Data 23 2.1 Importing Data from Other Applications 23 2.2 Manipulating Data 26 2.3 Minitab Graphs 35 2.4 Doing Arithmetic 40 2.5 Miscellaneous Topics 41 Appendix Other Minitab Files 48 3 Describing Qualitative Data 53 3.1 Graphs for Qualitative Data 53 3.2 Classifying Qualitative Data 61 4 Describing Quantitative Data 73 4.1 Graphs for Quantitative Data 73 4.2 Numerical Descriptive Measures 79 4.3 Interpreting the Standard Deviation 83 4.4 Measures of Relative Standing 84 5 Probability Distributions 103 5.1 Discrete Random Variables 103 5.2 Special Discrete Random Variables 107 5.3 Continuous Random Variables 119 5.4 Other Probability Distributions 129 6 Sampling and Sampling Distributions 135 6.1 Statistical Sampling Techniques 135 6.2 The Sampling Distribution of the Sample Mean 151 6.3 The Central Limit Theorem 159 7 Inferences Based on a Single Sample 175 7.1 Estimating a Population Mean 175 7.2 Testing a Hypothesis about a Population Mean 183 7.3 Inferences about a Population Proportion 194 7.4 Estimating a Population Variance 199 7.5 Test for Normality 201 7.6 Sign Test for Location of a Single Population 204 8 Inferences Based on Two Samples 213 8.1 Making Inferences about [mu subscript 1] - [mu subscript 2]: Independent Sampling 213 8.2 Making Inferences about [mu subscript d]: Matched Pairs 218 8.3 Making Inferences about [pi subscript 1] - [pi subscript 2] 222 8.4 Comparing Two Population Variances 225 8.5 Comparing Two Population Medians 227 9 Simple Linear Regression 241 9.1 Introduction to Regression Analysis 241 9.2 Interval Estimation and Prediction 250 10 Multiple Regression 261 10.1 The General Linear Model 261 10.2 Models with Qualitative Independent Variables 277 10.3 Testing Portions of a Model 279 10.4 Residual Analysis 282 10.5 Stepwise Regression 286 11 Analysis of Variance 293 11.1 The Completely Randomized Design 293 11.2 Randomized Block Designs 300 11.3 Factorial Designs 304 11.4 Multiple Comparisons of Means 310 11.5 Checking Model Assumptions 316 11.6 Nonparametric Test for a Completely Randomized Design 318 12 Introduction to Process and Quality Control 327 12.1 General Characteristics of Control Charts 327 12.2 Chart for Individual Observations: I Chart 328 12.3 Control Chart for Means: x-Chart 330 12.4 Control Charts for Process Variation 333 12.5 Control Chart for a Process Proportion: P-Chart 336 12.6 Control Chart for Number of Defects: C-Chart 338 13 Time Series and Index Numbers 345 13.1 Graphical Description of Time Series 345 13.2 Index Numbers 347 13.3 Smoothing Methods 354 14 Time Series Models and Forecasting 367 14.1 Forecasting Models and Accuracy Measures 367 14.2 Forecasting Using Smoothing Methods 368 14.3 Forecasting Models with Trend 372 14.4 Forecasting Models with Seasonality and Trend 377 14.5 Autocorrelation 384 15 Categorical Data Analysis 391 15.1 Multinomial Distribution 391 15.2 Contingency Analysis 399 16 Survey Analysis 409 Appendix 413 Index 417

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