| Description |
xxviii, 548 pages : illustrations ; 26 cm |
| Contents |
Machine derived contents note: PART I: OVERVIEW. 1. Statistics and Scientific Method. Introduction. 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? The Authorities Are Nice, But Summary. Important Terms. Questions and Problems. PART II: DESCRIPTIVE STATISTICS. 2. Basic Mathematical and Measurement Concepts. Study Hints for the Student. Mathematical Notation. Summation. Measurement Scales. Measuring Scales in the Behavioral Sciences. Continuous and Discrete Variables. Summary. Important Terms. Questions and Problems. Notes. 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. Summary. Important Terms. Questions and Problems. 4. Measures of Central Tendency and Variability. Introduction. Measure of Central Tendency. Measures of Variability. Summary. Important Terms. Questions and Problems. Notes. 5. The Normal Curve and Standard Scores. Introduction. The Normal Curve. Standard Scores (z Scores). Summary. Important Terms. Questions and Problems. 6. Correlation. Introduction. Relationships. Correlation. What Is the Truth? "Good Principle = Good Elementary School," or Does It? Summary. Important Terms. Questions and Problems. 7. Linear Regression. Introduction. Prediction and Imperfect Relationships. Constructing the Least-Squares Regression Line. 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. Summary. Important Terms. Questions and Problems. PART III: INFERENTIAL STATISTICS. 8. Random Sampling and Probability. Introduction. 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 Research Inadequacy? Summary. Important Terms. Questions and Problems. Notes. 9. Binomial Distribution. Introduction. Definition and Illustration of the Binomial Distribution. Generating the Binomial Distribution from the Binomial Expansion. Using the Binomial Table. Summary. Important Terms. Questions and Problems. Notes. 10. Introduction to Hypothesis Testing Using the Sign Test. Introduction. Evaluating the Marijuana Experiment Using the Binomial Distribution. Type I and Type II Errors. Alpha Level and the Decision Process. Evaluating the Tail of the Distribution. One- and Two-Tailed Probability Evaluations. Significant Versus Important. Power. What Is the Truth? Chance or Real Effect? What Is the Truth? "No Product Is Better than Our Product." What Is the Truth? Astrology and Science. Summary. Important Terms. Questions and Problems. Notes. 11. Mann-Whitney U Test. Introduction. Independent-Groups Design. Analysis Using the Mann-Whitney U Test. Determining the Probability of U if Chance Alone is Responsible. Using Tables C.1-C.4. Summary of Protein-IQ Data Analysis. Practical Considerations in Using the Mann-Whitney U Test. Summary. Important Terms. Questions and Problems. Notes. 12. Sampling Distributions, Sampling Distribution of the Mean, the Normal Deviate (z) Test. Introduction. Sampl |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Psychology -- Statistical methods -- Textbooks.
|
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Psychology -- Statistical methods.
|
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Psychometrics -- Textbooks.
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Psychometrics.
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| Genre/Form |
Textbooks.
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| LC no. |
97040018 |
| ISBN |
0534353908 |
|
