This text, designed for the introductory student with no background in statistics, features the author's step-by-step approach to teaching the subject. Each chapter contains procedures that walk the student through the descriptive or inferential statistic being presented. These procedures help to break down the barriers that prevent students from learning statistics.
"Sinopsis" puede pertenecer a otra edición de este libro.
1. Why Study Statistics? 2. Research and Measurement. 3. Frequency Tables and Graphs. 4. Measures of Central Tendency. 5. Measures of Variability. 6. Measures of Relative Standing. 7. The Normal Distribution. 8. Measures of Linear Correlation. 9. Regression and Prediction. 10. Probability and the Binomial Distribution. 11. Sampling Distributions. 12. Hypothesis Testing. 13. Parametric Tests for One Sample. 14. Parametric Tests for Two Samples. 15. Nonparametric Tests for Two Samples. 16. A Statistical Test for More than Two Samples: The One-Factor Analysis of Variance. 17. A Statistical Test for More than Two Samples: The Two-Factor Analysis of Variance. 18. Chi Square. 19. Deciding Which Statistic to Use.
This text, designed for the introductory student with no background in statistics, features the author's step-by-step approach to teaching the subject. Each chapter contains procedures that walk the student through the descriptive or inferential statistic being presented. These procedures help to break down the barriers that prevent students from learning statistics.
"Sobre este título" puede pertenecer a otra edición de este libro.
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