×

Uh-oh, it looks like your Internet Explorer is out of date.

For a better shopping experience, please upgrade now.

Fundamental Statistics for the Behavioral Sciences / Edition 5
     

Fundamental Statistics for the Behavioral Sciences / Edition 5

by Robert B. McCall
 

See All Formats & Editions

ISBN-10: 0155294776

ISBN-13: 9780155294776

Pub. Date: 02/05/1991

Publisher: Harcourt College Publishers

This text takes a traditional approach to teaching the basic statistical concepts and methods used in behavioral research. McCall emphasizes building an understanding of the logic of statistics rather than stressing the mechanics. Similarly, the data for computational problems has been kept simple, so students can focus on the rationale and outcome of techniques

Overview

This text takes a traditional approach to teaching the basic statistical concepts and methods used in behavioral research. McCall emphasizes building an understanding of the logic of statistics rather than stressing the mechanics. Similarly, the data for computational problems has been kept simple, so students can focus on the rationale and outcome of techniques instead of the calculations themselves. Behavioral research issues are built into the problems and exercises.

Product Details

ISBN-13:
9780155294776
Publisher:
Harcourt College Publishers
Publication date:
02/05/1991
Pages:
464
Product dimensions:
6.00(w) x 1.25(h) x 9.00(d)

Table of Contents

Part 1Descriptive Statistics1
Chapter 1The Study of Statistics3
Why Study Statistics?4
Descriptive and Inferential Statistics6
Measurement9
Summation Sign17
Summary24
Chapter 2Frequency Distributions and Graphing28
Types of Frequency Distributions29
Constructing Frequency Distributions with Class Intervals34
Graphs of Frequency Distributions40
How Distributions Differ46
Summary50
Chapter 3Characteristics of Distributions53
Indicators of Central Tendency55
Indicators of Variability63
Populations and Samples69
A Note on Calculators and Computers72
Summary74
Chapter 4Elements of Exploratory Data Analysis78
Stem-and-Leaf Displays79
Resistant Indicators88
Summary97
Chapter 5Indicators of Relative Standing100
Percentiles101
Changing the Properties of Scales107
Standard Scores and the Normal Distribution113
Summary129
Chapter 6Regression133
Linear Relationships134
Regression Constants and the Regression Line142
Standard Error of Estimate152
Summary158
Chapter 7Correlation162
The Pearson Product-Moment Correlation Coefficient163
Properties of the Correlation Coefficient170
Sampling Factors That Change the Correlation Coefficient176
Causality and Correlation183
Summary184
Part 2Inferential Statistics189
Chapter 8Sampling, Sampling Distributions, and Probability191
Methods of Sampling192
Sampling Distributions and Sampling Error195
Probability and Its Application to Hypothesis Testing204
Estimation207
Summary210
Chapter 9Introduction to Hypothesis Testing: Terminology and Theory214
Statistical Terminology215
Hypothesis Testing When [sigma subscript x] Is Estimated by s[subscript x]231
Summary237
Chapter 10Elementary Techniques of Hypothesis Testing240
Inferences about the Difference between Means241
Inferences about Correlation Coefficients253
A Comparison of the Difference between Means and Correlation260
Statistics in the Journals263
Summary264
Chapter 11Beyond Hypothesis Testing: Effect Size and Interval Estimation269
Beyond Hypothesis Testing270
Indices of Size273
Interval Estimation277
Summary291
Part 3Special Topics297
Chapter 12Introduction to Research Design299
Scientific Questions301
Operationalizing307
Data Collection and Data Analysis313
Conclusions and Interpretations314
The Research Report314
Ethical Considerations316
Summary320
Chapter 13Topics in Probability322
Set Theory323
Simple Classical Probability328
Probability of Complex Events333
Methods of Counting340
Summary347
Chapter 14Simple Analysis of Variance351
Logic of the Analysis of Variance353
Computational Procedures367
Comparisons between Specific Means375
Size of Relationship381
Summary386
Chapter 15Two-Factor Analysis of Variance389
Two-Factor Classification390
Logic of Two-Factor Analysis of Variance394
Computational Procedures41
Summary420
Chapter 16Nonparametric Techniques424
Parametric and Nonparametric Tests425
Tests on Independent Samples428
Tests on Correlated Samples446
Rank-Order Correlation450
Summary454
Appendix 1Math Review461
Appendix 2Tables469
Appendix 3Symbols490
Appendix 4Terms493
Appendix 5Answers502
Index523

Customer Reviews

Average Review:

Post to your social network

     

Most Helpful Customer Reviews

See all customer reviews