# The SPSS Guide to the New Statistical Analysis of Data: By T.W. Anderson and Jeremy D. Finn

Springer Science & Business Media, 1997 - Business & Economics - 203 pages
This book is a self-teaching guide to the SPSS for Windows computer package. 'It is designed to be used hand-in-hand with The New Statistical Analysis of Data by T. W. Anderson and Jeremy D. Finn, although it may be used as a stand-alone manual as well. This guide is very easy to follow since all procedures are outlined in a straightforward, step-by-step format. Because of its self-instructional nature, the beginning student can learn to analyze statistical data with SPSS without outside assistance. The reader is "walked through" numerous examples that illustrate how to use the SPSS package. The results produced by SPSS are shown and discussed in each application. The data sets used in the examples are primarily those in the Anderson-Finn textbook. To the extent that SPSS performs the procedures in the Anderson-Finn text, this manual follows the book chapter-by-chapter. Except for Chapter 1, the section titles in the manual correspond to sections in the textbook. Each chapter demonstrates the statistical procedures described in the textbook and gives exercises that can be performed for further practice. (An instructor may choose to use these as additional class assignments. ) This manual was created using SPSS for Windows, Version 6. 1, on an IBM-compatible personal computer. There are other versions available, including: Version 7. 0 for Windows 95, Version 6. 1 for Macintosh, and Version 6. 1 for Power Macintosh.

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### Contents

 THE NATURE OF SPSS 3 12 Managing Data and Files 7 13 Transforming Variables and Data Files 15 14 Examining and Printing Output 23 15 Missing Values 24 Chapter Exercises 25 DESCRIPTIVE STATISTICS 27 ORGANIZATION OF DATA 29
 STATISTICAL INFERENCE 105 USING A SAMPLE TO ESTIMATE CHARACTERISTICS OF ONE POPULATION 107 102 Estimation of Variance and Standard Deviation 109 104 Estimation of a Proportion 112 106 Paired Measurements 113 Chapter Exercises 114 SPSS Syntax for Using a Sample to Estimate Characteristics of One Population 115 ANSWERING QUESTIONS ABOUT POPULATION CHARACTERISTICS 117

 23 Organization of Numerical Data 33 Chapter Exercises 39 SPSS Syntax for Organization of Data 40 MEASURES OF LOCATION 41 32 The Median and Other Percentiles 43 33 The Mean 44 Chapter Exercises 48 SPSS Syntax for Measures of Location 50 MEASURES OF VARIABILITY 51 42 The Mean Deviation 52 43 The Standard Deviation 53 45 Some Uses of Location and Dispersion Measures Together 54 Chapter Exercises 56 SPSS Syntax for Measures of Variability 58 SUMMARIZING MULTIVARIATE DATA ASSOCIATION BETWEEN NUMERICAL VARIABLES 59 52 More than Two Variables 67 Chapter Exercises 68 SPSS Syntax for Summarizing Multivariate Data Association Between Numerical Variables 71 SUMMARIZING MULTIVARIATE DATA ASSOCIATION BETWEEN CATEGORICAL VARIABLES 73 62 Larger TwoWay Frequency Tables 77 63 Three Categorical Variables 79 64 Effects of a Third Variable 83 Chapter Exercises 86 SPSS Syntax for Summarizing Multivariate Data Association Between Categorical Variables 88 PROBABILITY 89 BASIC IDEAS OF PROBABILITY 91 78 Random Sampling Random Numbers 93 SPSS Syntax for Basic Ideas of Probability 94 PROBABILITY DISTRIBUTIONS 95 Chapter Exercises 97 SPSS Syntax for Probability Distributions 98 SAMPLING DISTRIBUTIONS 99 92 Sampling Distribution of a Sum and of a Mean 100 95 The Normal Distribution of Sample Means 101 Chapter Exercises 103
 113 Testing Hypotheses About a Mean when the Standard Deviation is Unknown 119 Another Way to Report Tests of Significance 121 115 Testing Hypotheses About a Proportion 122 The Sign Test 124 117 Paired Measurements 126 Chapter Exercises 129 SPSS Syntax for Answering Questions About Population Characteristics 131 DIFFERENCES BETWEEN TWO POPULATIONS 133 122 Comparison of Two Independent Sample Means when the Population Standard Deviations are Unknown but Treated as Equal 134 123 Comparison of Two Independent Sample Means when the Population Standard Deviations are Unknown and not Treated as Equal 137 125 The Sign Test for a Difference in Locations 139 Chapter Exercises 141 SPSS Syntax for Differences Between Two Populations 143 VARIABILITY IN ONE POPULATION AND IN TWO POPULATIONS 145 132 Variability in Two Populations 146 Chapter Exercises 148 SPSS Syntax for Variability in One Population and in Two Populations 149 STATISTICAL METHODS FOR OTHER PROBLEMS 151 INFERENCE ON CATEGORICAL DATA 153 142 ChiSquare Tests of Independence 156 143 Measures of Association 158 Chapter Exercises 162 SPSS Syntax for Inference on Categorical Data 165 SIMPLE REGRESSION ANALYSIS 167 152 SPSS for Simple Regression Analysis 169 Inverse Association of x and y 175 Chapter Exercises 180 SPSS Syntax for Simple Regression Analysis 181 COMPARISONS OF SEVERAL POPULATIONS 183 162 Which Groups Differ from Which and by How Much? 188 163 Analysis of Variance of Ranks 190 Chapter Exercises 192 SPSS Syntax for Comparisons of Several Populations 194 DATA FILES 195 Copyright