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How to Think About Statistics John L. Phillips

How to Think About Statistics von John L. Phillips

How to Think About Statistics John L. Phillips


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Zusammenfassung

This revised edition offers a common sense method for understanding the statistics that affect the readers decisions in daily life. Rather than focus on mathematics and computations, this volume familiarizes the reader with the underlying logic of statistical analysis and problem-solving.

How to Think About Statistics Zusammenfassung

How to Think About Statistics: A Structural Approach John L. Phillips

Modern life is inundated with statistical data-polls, surveys, economic indicators, advertising claims, and research findings. You can't avoid the numbers, but you can learn to determine what they really mean - even if you suffer from math-phobia. This revised edition offers a common sense method for understanding the statistics that affect your decisions and performance in business, in school, as a consumer, and as a voter. Rather than focus on mathematics and computations, this concise volume familiarizes the reader with the underlying logic of statistical analysis and problem-solving. It reveals how empirical studies are conceived, gathered, reported, interpreted-and sometimes obscured and distorted. The revised edition introduces fundamental concepts, using familiar, concrete examples; develops clearly the implications of those concepts; moves logically from one concept to the next, building a solid framework for interpreting statistical data; Includes numerous sample applications drawn from the fields of education, political science, psychology, social work, and sociology. With dozens of refinements and a new organization, this revised edition should help the reader think critically about the statistical claims and arguments you encounter every day.

Inhaltsverzeichnis

1 Introduction: The Task; The Basic Ideas; Facing Mathphobia; 2 Frequency Distributions: Normal Distributions; Skewed Distributions; Other Configurations; Summary; 3 Measures of Central Tendency: The Mean (X); The Median (Mdn); The Mode; Summary; Sample Applications; 4 Measures of Variability: The Standard Deviation (S); The Interquartile Range; The Range; Degrees of Freedom; Summary; Sample Applications; 5 Interpreting Individual Measures: Standard Scores: The z Scale; Other Standard Scores; Centile (or Percentile) Scores; Age and Grade Norms; Summary; Sample Applications; 6 Precision of Measurement; Standard Errors; Confidence Intervals and Levels of Confidence; Effect of N on Standard Error; Summary; Sample Applications; 7 Significance of a Difference between Two Means: An Example; Test of Significance: The z Ratio; Test of Significance: The t Ratio; Significance Levels; A Common Misinterpretation; One- versus Two-Tail Tests; Statistical versus Practical Significance; Summary; Sample Applications; Contents 8 More on the Testing of Hypotheses: Comparison of Frequencies: Chi-Square; Multimean Comparisons: Analysis of Variance; Summary; Sample Applications; 9 Correlation: The Rank-Difference Coefficient (p); The Product-Moment Coefficient (r); Effect of Restricted Variability; Standard Scores in Correlation; A Matrix of Correlations; Two Ways of Quantifying Reliability; Expectancy Tables and Predictive Validity; Reliability and Validity; Summary; Sample Applications; 10 Correlation and Causation: Correlational versus Experimental Studies; Continuous versus Discontinuous Variables and Measurements; Correlation as an Index of Causation; Summary; 11 Summary: Appendix 1: Tests of Significance. Appendix II: List of Symbols.

Zusätzliche Informationen

GOR005740624
9780716722878
0716722879
How to Think About Statistics: A Structural Approach John L. Phillips
Gebraucht - Sehr Gut
Broschiert
Macmillan Learning
19920301
201
N/A
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