Study Guide for Fundamental Statistics for Behavioral Sciences, 8th

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  • Edition: 8th
  • Format: Paperback
  • Copyright: 2000-09-28
  • Publisher: Wadsworth Publishing
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Supplemental Materials

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  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.


Each chapter of the Study Guide corresponds to a chapter in the text and provides the student with three concept goals, a guide to major concepts, a self-test, exercises, answers, and complete instructions and output for two software packages (SPSS and Minitab). In addition, the Study Guide was written to help bring students' math skills up to an appropriate level for this course.

Author Biography

Robert B. McCall is Professor of Psychology and CoDirector of the University of Pittsburgh Office of Child Development. He is the author of 24 editions of textbooks and guides and several hundred books, chapters, and articles for scholarly audiences and the general public. As a methodologist, he has published numerous articles and handbook chapters on statistics and longitudinal design, and he has been on the permanent editorial boards of a dozen journals and book series, including Psychological Methods. As a developmental psychologist, Dr. McCall is a specialist in infant attention and cognition as predictors of later IQ and in developmental changes in general mental performance. He was honored with the 1994 American Psychological Association Distinguished Contribution to Public Service for communicating psychology to the general public through the media and for inaugerating the University of Pittsburgh Office of Child Development, which promotes and conducts interdisciplinary university-community educational, research, human service demonstration, and policy projects.

Table of Contents

Descriptive Statisticsp. 1
The Study of Statisticsp. 3
Why Study Statistics?p. 4
Descriptive and Inferential Statisticsp. 6
Measurementp. 9
Summation Signp. 17
Summaryp. 24
Frequency Distributions and Graphingp. 28
Types of Frequency Distributionsp. 29
Constructing Frequency Distributions with Class Intervalsp. 34
Graphs of Frequency Distributionsp. 40
How Distributions Differp. 46
Summaryp. 50
Characteristics of Distributionsp. 53
Indicators of Central Tendencyp. 55
Indicators of Variabilityp. 63
Populations and Samplesp. 69
A Note on Calculators and Computersp. 72
Summaryp. 74
Elements of Exploratory Data Analysisp. 78
Stem-and-Leaf Displaysp. 79
Resistant Indicatorsp. 88
Summaryp. 97
Indicators of Relative Standingp. 100
Percentilesp. 101
Changing the Properties of Scalesp. 107
Standard Scores and the Normal Distributionp. 113
Summaryp. 129
Regressionp. 133
Linear Relationshipsp. 134
Regression Constants and the Regression Linep. 142
Standard Error of Estimatep. 152
Summaryp. 158
Correlationp. 162
The Pearson Product-Moment Correlation Coefficientp. 163
Properties of the Correlation Coefficientp. 170
Sampling Factors That Change the Correlation Coefficientp. 176
Causality and Correlationp. 183
Summaryp. 184
Inferential Statisticsp. 189
Sampling, Sampling Distributions, and Probabilityp. 191
Methods of Samplingp. 192
Sampling Distributions and Sampling Errorp. 195
Probability and Its Application to Hypothesis Testingp. 204
Estimationp. 207
Summaryp. 210
Introduction to Hypothesis Testing: Terminology and Theoryp. 214
Statistical Terminologyp. 215
Hypothesis Testing When [sigma subscript x] Is Estimated by s[subscript x]p. 231
Summaryp. 237
Elementary Techniques of Hypothesis Testingp. 240
Inferences about the Difference between Meansp. 241
Inferences about Correlation Coefficientsp. 253
A Comparison of the Difference between Means and Correlationp. 260
Statistics in the Journalsp. 263
Summaryp. 264
Beyond Hypothesis Testing: Effect Size and Interval Estimationp. 269
Beyond Hypothesis Testingp. 270
Indices of Sizep. 273
Interval Estimationp. 277
Summaryp. 291
Special Topicsp. 297
Introduction to Research Designp. 299
Scientific Questionsp. 301
Operationalizingp. 307
Data Collection and Data Analysisp. 313
Conclusions and Interpretationsp. 314
The Research Reportp. 314
Ethical Considerationsp. 316
Summaryp. 320
Topics in Probabilityp. 322
Set Theoryp. 323
Simple Classical Probabilityp. 328
Probability of Complex Eventsp. 333
Methods of Countingp. 340
Summaryp. 347
Simple Analysis of Variancep. 351
Logic of the Analysis of Variancep. 353
Computational Proceduresp. 367
Comparisons between Specific Meansp. 375
Size of Relationshipp. 381
Summaryp. 386
Two-Factor Analysis of Variancep. 389
Two-Factor Classificationp. 390
Logic of Two-Factor Analysis of Variancep. 394
Computational Proceduresp. 41
Summaryp. 420
Nonparametric Techniquesp. 424
Parametric and Nonparametric Testsp. 425
Tests on Independent Samplesp. 428
Tests on Correlated Samplesp. 446
Rank-Order Correlationp. 450
Summaryp. 454
Math Reviewp. 461
Tablesp. 469
Symbolsp. 490
Termsp. 493
Answersp. 502
Indexp. 523
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