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The SPSS guide to the new statistical analysis of data by T.W. Anderson and Jeremy D. Finn

Author: Susan B Gerber; Theodore Wilbur Anderson; Kristin E Voelkl
Publisher: New York, NY Springer 1997
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

This companion to The New Statistical Analysis of Data by Anderson and Finn provides a hands-on guide to data analysis using SPSS. First, the authors provide a brief review of using SPSS, and then,  Read more...

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Genre/Form: manuale
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Susan B Gerber; Theodore Wilbur Anderson; Kristin E Voelkl
ISBN: 038794821X 9780387948218
OCLC Number: 845286190
Notes: Companion vol. to: The new statistical analysis of data by T.W. Anderson and Jeremy D. Finn
Description: XII, 203 Seiten Illustrationen, Diagramme
Contents: I: Introduction.- 1 The Nature of SPSS.- 1.1 Getting Started with SPSS for Windows.- 1.2 Managing Data and Files.- 1.3 Transforming Variables and Data Files.- 1.4 Examining and Printing Output.- 1.5 Missing Values.- Exercises.- II: Descriptive Statistics.- 2 Organization of Data.- 2.2 Organization of Categorical Data.- 2.3 Organization of Numerical Data.- Exercises.- Appendix II: SPSS Syntax for Organization of Data.- 3 Measures of Location.- 3.1 The Mode.- 3.2 The Median and Other Percentiles.- 3.3 The Mean.- Exercises.- Appendix III: SPSS Syntax for Measures of Location.- 4 Measures of Variability.- 4.1 Ranges.- 4.2 The Mean Deviation.- 4.3 The Standard Deviation.- 4.5 Some Uses of Location and Dispersion Measures Together.- Exercises.- Appendix IV: SPSS Syntax for Measures of Variability.- 5 Summarizing Multivariate Data: Association Between Numerical Variables.- 5.1 Association of Two Numerical Variables.- 5.2 More than Two Variables.- Exercises.- Appendix V: SPSS Syntax for Summarizing Multivariate Data: Association Between Numerical Variables.- 6 Summarizing Multivariate Data: Association Between Categorical Variables.- 6.1 Two-by-Two Frequency Tables.- 6.2 Larger Two-Way Frequency Tables.- 6.3 Three Categorical Variables.- 6.4 Effects of a Third Variable.- Exercises.- Appendix VI: SPSS Syntax for Summarizing Multivariate Data: Association Between Categorical Variables.- III: Probability.- 7 Basic Ideas of Probability.- 7.3 Probability in Terms of Equally Likely Cases.- 7.8 Random Sampling; Random Numbers.- Exercises.- Appendix VII: SPSS Syntax for Basic Ideas of Probability.- 8 Probability Distributions.- 8.5 Family of Standard Normal Distributions.- Exercises.- Appendix VIII: SPSS Syntax for Probability Distributions.- 9 Sampling Distributions.- 9.1 Sampling from a Population.- 9.2 Sampling Distribution of a Sum and of a Mean.- 9.5 The Normal Distribution of Sample Means.- Exercises.- IV: Statistical Inference.- 10 Using a Sample to Estimate Characteristics of One Population.- 10.1 Estimation of a Mean by a Single Number.- 10.2 Estimation of Variance and Standard Deviation.- 10.3 An Interval of Plausible Values for a Mean.- 10.4 Estimation of a Proportion.- 10.5 Estimation of a Median.- 10.6 Paired Measurements.- Exercises.- Appendix X: SPSS Syntax for Using a Sample to Estimate Characteristics of One Population.- 11 Answering Questions About Population Characteristics.- 11.1 Testing a Hypothesis About a Mean.- 11.3 Testing Hypotheses About a Mean when the Standard Deviation is Unknown.- 11.4 P Values: Another Way to Report Tests of Significance.- 11.5 Testing Hypotheses About a Proportion.- 11.6 Testing Hypotheses About a Median: The Sign Test.- 11.7 Paired Measurements.- Exercises.- Appendix XI: SPSS Syntax for Answering Questions About Population Characteristics.- 12 Differences Between Two Populations.- 12.1 Comparison of Two Independent Sample Means when the Population Standard Deviations are Known.- 12.2 Comparison of Two Independent Sample Means when the Population Standard Deviations are Unknown but Treated as Equal.- 12.3 Comparison of Two Independent Sample Means when the Population Standard Deviations are Unknown and not Treated as Equal.- 12.4 Comparison of Two Independent Sample Proportions.- 12.5 The Sign Test for a Difference in Locations.- Exercises.- Appendix XII: SPSS Syntax for Differences Between Two Populations.- 13 Variability in One Population and in Two Populations.- 13.1 Variability in One Population.- 13.2 Variability in Two Populations.- Exercises.- Appendix XIII: SPSS Syntax for Variability in One Population and in Two Populations.- V: Statistical Methods for Other Problems.- 14 Inference on Categorical Data.- 14.1 Tests of Goodness of Fit.- 14.2 Chi-Square Tests of Independence.- 14.3 Measures of Association.- Exercises.- Appendix XIV: SPSS Syntax for Inference on Categorical Data.- 15 Simple Regression Analysis.- 15.1 The Scatter Plot and Correlation Coefficient.- 15.2 SPSS for Simple Regression Analysis.- 15.3 Another Example: Inverse Association of x and y.- Exercises.- Appendix XV: SPSS Syntax for Simple Regression Analysis.- 16 Comparisons of Several Populations.- 16.1 One-Way Analysis of Variance.- 16.2 Which Groups Differ from Which, and by How Much?.- 16.3 Analysis of Variance of Ranks.- Exercises.- Appendix XVI: SPSS Syntax for Comparisons of Several Populations.- Appendix Data Files.
Responsibility: Susan B. Gerber; Kristin E. Voelkl
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