Basic Statistical Analysis / Edition 9

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The material in this user-friendly text is presented as simply as possible to ensure that students will gain a solid understanding of statistical procedures and analysis.

The goal of this book is to demystify and present statistics in a clear, cohesive manner. The student is presented with rules of evidence and the logic behind those rules. The book is divided into three major units: Descriptive Statistics, Inferential Statistics, and Advanced Topics in Inferential Statistics.

Every effort has been made to keep the writing as clear as possible and always aimed at the student's life space. Computational procedures are laid out in a step-by-step, programmed format. This is a straightforward presentation of the essentials of statistical analysis emphasizing the constant interaction between statistical techniques and the resarch methodology.

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Editorial Reviews

A textbook for a one-semester introductory statistics course for students in psychology or other social and health sciences, and with the addition of new material for majors in education and criminal justice as well. First published in 1982 and revised from the 1994 edition with includes new chapters on tests and measurements, additional table entries for the "t" test and Pearson "r", more data problems, and a new appendix section on writing and typing a statistical research paper with the APA notation that is used throughout. The enclosed 3.5<"> disk is for an IBM PC. Annotation c. by Book News, Inc., Portland, Or.
Standard textbook for students in the social sciences who are confronting their first "stats" course. New to this edition is a chapter on the use of computers to solve large data-set problems. Includes a disk. Annotation c. Book News, Inc., Portland, OR (
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Product Details

  • ISBN-13: 9780205052172
  • Publisher: Pearson
  • Publication date: 2/11/2011
  • Edition number: 9
  • Pages: 672
  • Sales rank: 192,384
  • Product dimensions: 7.50 (w) x 9.20 (h) x 1.10 (d)

Table of Contents




1. Introduction to Statistics

Stumbling Blocks to Statistics

A Brief Look at the History of Statistics

Gertrude Cox (1900-1978)

Benefits of a Course in Statistics


Fields of Statistics


Key Terms and Names


2. Percentages, Graphs and Measures of Central Tendency

Percentage Changes-Comparing Increases with Decreases


Measures of Central Tendency

Appropriate Use of the Mean

the Median and the Mode


Key Terms


Computer Problems

3. Variability

Measures of Variability

Graphs and Variability

Questionnaire Percentages

Key Terms

Computer Problems

4. The Normal Curve and z Scores

The Normal Curve

z Scores

Carl Friedrich Gauss (1777-1855)

Translating Raw Scores into z Scores

z Score Translation in Practice

Fun with your Calculator


Key Terms and Names


5. z Scores Revisited: T Scores and Other Normal Curve Transformations

Other Applications of the z Score

The Percentile Table

T Scores

Normal Cure Equivalents


Grade-Equivalent Scores: A Note of Caution

The Importance of the z Score


Key Terms


6. Probability

The Definition of Probability

Blaise Pascal (1623-1662)

Probability and Percentage Areas of the Normal Curve

Combining Probabilities for Independent Events

A Reminder about Logic


Key Terms



7. Statistics and Parameters

Generalizing from the Few to the Many

Key Concepts of Inferential Statistics

Techniques of Sampling

Sampling Distributions

Infinite versus Finite Sampling

Galton and the Concept of Error

Back to z

Some Words of Encouragement


Key Terms


8. Parameter Estimates and Hypothesis Testing

Estimating the Population Standard Deviation

Estimating the Standard Error of the Mean

Estimating the Population of the Mean: Interval Estimates and Hypothesis Testing

The t Ratio

The Type 1 Error

Alpha Levels

Effect Size

Interval¿ Estimates: No Hypothesis Test Needed


Key Terms


Computer Problems

9. The Fundamentals of Research Methodology

Research Strategies

Independent and Dependent Variables

The Cause-and-Effect Trap

Theory of Measurement

Research: Experimental versus Post Facto

The Experimental Method: The Case of Cause and Effect

Creating Equivalent Groups: The True Experiment

Designing the True Experiment

The Hawthorne Effect

Repeated-Measures Designs with Separate Control Groups

Requirements for the True Experiment

Post Facto-Research

Combination Research

Research Errors

Experimental Errors


Methodology as a Basis for More Sophisticated Techniques


Key Terms


10. The Hypothesis of Difference

Sampling Distribution of Differences

Estimated Standard Error of Difference

Two-Sample t Test for Independent Samples


William Sealy Gossett (1876-1937)

Two-Tailed t Table

Alpha Levels and Confidence Level

The Minimum Difference


One-Tail t Test

Importance of Having at Least Two Samples


Effect Size


Key Terms


Computer Problems

11. The Hypothesis of Association: Correlation

Cause and Effect

The Pearson r

Interclass versus Intraclass

Karl Pearon (1857-1936)

Missing Data

Correlation Matrix

The Spearman r s’ 293 An Important Difference between the Correlation Correlation Coefficient and t Test


Key Terms and Names


Computer Problems

12. Analysis of Variance

Advantages of ANOVA

The Bonferroni Test

Ronald Aylmer, Fisher (1890-1962)

Analyzing the Variance

Applications of ANOVA

The Factorial ANOVA

Eta Square and d

Graphing the Interaction


Key Terms and Names


Computer Problems

13. Nominal Data and the Chi Square

Chi Square and Independent Samples

Locating the Difference

Chi Square Percentages

Square and z Scores

Chi Square and Dependent Samples

Requirements for Using Chi Square


Key Terms


Computer Problems


14. Regression Analysis

Regression of Y on X

Sir Francis Galton (1822-1911)

Standard Error of Estimate

Multiple R (Linear Regression with More Than Two Variables)

Path Analysis

The Multiple Rand Causation

Partial Correlation


Key Terms and Names

Computer Problems

15. Repeated-Measures and Matched-Subjects Designs With Interval Data

Problem of Correlated or Dependent Samples

Repeated Measures,

Paired t Ratio

Confidence Interval for Paired Differences

Within-Subjects Effect Size

Testing Correlated Experimental Data


Key Terms


Computer Problems

16. Nonparametrics Revisited: The Ordinal Case

Mann-Whitney U Test for Two Ordinal Distributions with Independent Selection

Kruskal-Wallis H Test for Three or More Ordinal Distributions with Independent Selection

Wicoxon T Test for Two Ordinal Distributions with Correlated Selection

Friedman ANOVA By Ranks for Three or More Ordinal Distributions with Correlated Selection

Advantages and Disadvantages of Nonparametric Tests


Key Terms


17. Tests and Measurements

Norm and Criterion Referencing: Relative Versus Absolute Performance Measure

The Problem of Bias

Test Reliability

Validityand Measurement Theory

Test Validity

Item Analysis


Key Terms


Computer Problems

18. Computers and Statistical Analysis

Computer Literacy

The Statistical Programs

Ada Lovelace (nee Byron, 1815-1852)

Logic Checkpoints


Recommended Reading

19. Research Simulations: Choosing the Correct Statistical Test

Methodology: Research’s Bottom Line

Checklist Questions

Critical Decision Points

Research Simulations: From A to Z

The Research Enterprise

A Final Thought: The Burden of Proof

Special Unit: The Binomial Case

Special Unit:¿ The Problem of Unequal Variance


Appendix A


Appendix B




Answers to Odd-Numbered Items (and Within-Chapter Exercises)




Statistical Hall of Fame Biographies

Gertrude Cox-Chapter 1

Carl Gauss-Chapter 4

Blaise Pascal-Chapter 6

William Gossett-Chapter 10

Karl Pearson-Chapter 11

Ronald Fisher-Chapter 12

Sir Francis Galton-Chapter 14

Ada Lovelace-Chapter 18

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