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## Details

Genre/Form: | Textbooks |
---|---|

Document Type: | Book |

All Authors / Contributors: |
Robert R Pagano |

ISBN: | 0495096385 9780495096382 |

OCLC Number: | 70836980 |

Description: | xxvi, 568 p. : ill. ; 27 cm. |

Contents: | Part 1. Overview -- Chapter 1. Statistics and Scientific Method -- Methods of Knowing -- Scientific Research and Statistics -- Random Sampling -- Descriptive and Inferential Statistics -- Using Computers in Statistics -- Statistics and the "Real World" -- What is the Truth? Data, Data, Where Are the Data? -- What is the Truth? Authorities Are Nice, But ... -- What is the Truth? Data, Data, What Are the Data?-1 -- What is the Truth? Data, Data, What Are the Data?-2 -- Part 2. Descriptive Statistics -- Chapter 2. Basic Mathematical and Measurement Concepts -- Study Hints for the Student -- Mathematical Notation -- Summation -- Measurement Scales: Nominal, Ordinal, Interval, and Ratio Scales -- Measurement Scales in the Behavioral Sciences -- Continuous and Discrete Variables -- Chapter 3. Frequency Distributions -- Introduction: Ungrouped Frequency Distributions -- Grouping Scores -- Percentiles -- Percentile Rank -- Graphing Frequency Distributions -- Exploratory Data Analysis -- What is the Truth? Stretch the Scale, Change the Tale -- Chapter 4. Measures of Central Tendency and Variability -- Measures of Central Tendency: Arithmetic Mean, Median, and Mode -- Measures of Variability: Range, Standard Deviation, and Variance -- Chapter 5. Normal Curve and Standard Scores -- Normal Curve -- Standard Scores (z Scores) -- Chapter 6. Correlation -- Relationships -- Correlation -- What is the Truth? "Good Principal = Good Elementary School," or Does It? -- Chapter 7. Linear Regression -- Prediction and Imperfect Relationships -- Constructing the Least-Squares Regression Line: Regression of Y on X -- Regression of X on Y -- Measuring Prediction Errors: The Standard Error of Estimate -- Considerations in Using Linear Regression for Prediction -- Relation Between Regression Constants and Pearson r -- Multiple Regression and Multiple Correlation -- Part 3. Inferential Statistics -- Chapter 8. Random Sampling and Probability -- Random Sampling -- Probability -- What is the Truth? "Not Guilty, I'm a Victim of Coincidence": Gutsy Plea or Truth? -- What is the Truth? Sperm Count Decline-Male or Sampling Inadequacy? -- What is the Truth? A Sample of a Sample -- Chapter 9. Binomial Distribution -- Definition and Illustration of the Binomial Distribution -- Generating the Binomial Distribution from the Binomial Expansion -- Using the Binomial Table -- Chapter 10. Introduction to Hypothesis Testing Using the Sign Test -- Experiment: Marijuana and the Treatment of AIDS Patients -- Type I and Type II Errors -- Alpha Level and the Decision Process -- Evaluating the Tail of the Distribution -- One- and Two-Tailed Probability Evaluations -- Size of Effect: Significant Versus Important -- What is the Truth? Chance or Real Effect?-1 -- What is the Truth? Chance or Real Effect?-2 -- What is the Truth? "No Product Is Better Than Our Product" -- What is the Truth? Anecdotal Reports Versus Systematic Research -- Chapter 11. Power -- What Is Power? -- P[subscript null] and P[subscript real] -- Power Analysis of the AIDS Experiment -- Alpha-Beta and Reality -- Interpreting Nonsignificant Results -- Calculation of Power -- What is the Truth? Astrology and Science -- Chapter 12. Sampling Distributions, Sampling Distribution of the Mean, the Normal Deviate (z) Test -- Sampling Distributions -- Normal Deviate (z) Test -- Chapter 13. Student's t Test for Single Samples -- Comparison of the z and t Tests -- Sampling Distribution of t -- t and z Distributions Compared -- First Word Utterances Experiment Revisited -- Calculating t[subscript obt] from Original Scores -- Conditions Under Which the t Test Is Appropriate -- t Distribution: Confidence Intervals for the Population Mean -- Testing the Significance of Pearson r -- Chapter 14. Student's t Test for Correlated and Independent Groups -- Student's t Test for Correlated Groups -- z and t Tests for Independent Groups -- z Test for Independent Groups -- Student's t Test for Independent Groups -- Power of the t Test -- Correlated Groups and Independent Groups Designs Compared -- Evaluating the Effect of the Independent Variable Using Confidence Intervals-Independent Groups Design -- Chapter 15. Introduction to the Analysis of Variance -- Introduction: The F Distribution -- F Test and the Analysis of Variance (ANOVA) -- Overview of the One-Way Analysis of Variance Technique -- Analyzing Data with the ANOVA Technique -- Logic Underlying the One-Way ANOVA -- Relationship Between the Analysis of Variance and the t Test -- Assumptions Underlying the Analysis of Variance -- Size of Effect -- Power of the Analysis of Variance -- Multiple Comparisons -- What is the Truth? Much Ado About Almost Nothing -- Chapter 16. Introduction to Two-Way Analysis of Variance -- Introduction to the Two-Way Analysis of Variance-Qualitative Presentation -- Quantitative Presentation of the Two-Way Analysis of Variance -- Analyzing an Experiment with Two-Way ANOVA -- Multiple Comparisons -- Assumptions Underlying the Two-Way ANOVA -- Chapter 17. Chi-Square and Other Nonparametric Tests -- Introduction: Distinction Between Parametric and Nonparametric Tests -- Chi-Square (X[superscript 2]) -- Wilcoxon Matched-Pairs Signed Ranks Test -- Mann-Whitney U Test -- Kruskal-Wallis Test -- What is the Truth? Statistics and Applied Social Research-Useful or "Abuseful"? -- Chapter 18. Review of Inferential Statistics -- Terms and Concepts -- Process of Hypothesis Testing -- Single Sample Designs -- Two-Condition Experiments: Correlated Groups Design -- Independent Groups Design: Two Groups -- Multigroup Experiments -- Two-Way Analysis of Variance, F Test -- Analyzing Nominal Data -- Choosing the Appropriate Test -- Book Companion Website -- A. Review of Prerequisite Mathematics -- B. Equations -- C. Answers to End-of-Chapter Questions and Problems -- D. Tables. |

Responsibility: | Robert R. Pagano. |

### Abstract:

"Based on author Robert Pagano's 30 years of successful teaching experience, this text focuses on ideas rather than just numbers, ensuring that you never lose sight of the concepts that lie at the heart of sound statistical reasoning. Even students who are not mathematically inclined have praised this text for its clarity, interesting examples, and use of humor. Thorough explanations precede the introduction of every formula. The exercises that immediately follow include a step-by-step model that lets you compare your work against fully solved examples. Graphs, cartoons, and other visual aids help to illustrate difficult concepts while making them easier to remember. It's a combination that has worked for thousands of students who are taking their first statistics course in the behavioral sciences. Book jacket."--BOOK JACKET.

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