# لایب سان ## دانلود کتاب Success at Statistics : A Worktext with Humor (6th Edition) - Orginal pdf

Author: Fred Pyrczak

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Success at Statistics : A Worktext with Humor (6th Edition)

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* This comprehensive text covers all the traditional topics in a first-semester course. * Divided into 67 short sections, this book makes the topics easy to digest. Students regularly get positive reinforcement as they check their mastery with exercises at the end of each section. * Each exercise is based on a humorous riddle. If the answer to a riddle makes sense, students know all their answers for that exercise are correct. If not, they know they need to check their answers. * Short sections make it easy to customize your course by assigning only those sections needed to fulfill your objectives. * A comprehensive basic math review at the end of this book may be used to help students whose math skills are rusty. * Thoroughly field-tested for student interest and comprehension. The short sections and humor-based, self-checking riddles are greatly appreciated by students. * Contains Part D on effect size, which provides technical solutions to issues raised in Part C (such as the limitations of inferential statistics). New to this edition: Section 1: Explains the importance of statistical techniques in the advancement of scientific knowledge. Section 11: Provides practice with the summation operation before using it in multiple statistical tests. Section 27: This section on z-scores explains how to translate a percentile rank into a raw score. Section 30: Underlines the importance of figural representations of data, explains how to identify the most appropriate figure, and discusses how to label figures effectively. Section 41: Provides a deeper understanding of the relationship between p-values and critical values in a statistical test. Appendix J: A summary table of all statistical equations and guidelines for choosing a particular statistical test. Table 1: The format and discussion for the Table of the Normal Curve has been changed to a more conventional presentation of this statistical tool.

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Part A: Descriptive Statistics1. Why is the Study of Statistics Important?2. Descriptive Versus Inferential Statistics3. Scales of Measurement4. Frequencies, Percentages, and Proportions5. Introduction to Frequency Distributions6. Frequency Distribution for Grouped Data7. Cumulative Frequencies, Cumulative Percentages, and Percentile Ranks8. Histograms9. Frequency Polygons10. Shapes of Distributions11. Introduction to Summation12. The Mean: An Average13. Mean, Median, and Mode14. Variability: The Range and Interquartile Range15. Variability: Introduction to the Standard Deviation16. A Closer Look at the Standard Deviation17. Another Look at the Standard Deviation18. Standard Scores19. Transformed Standard Scores20. Standard Scores and the Normal Curve21. Conceptual Introduction to Correlation22. ScattergramsPart B: Inferential Statistics23. Introduction to Sampling24. A Closer Look at Sampling25. Introduction to Probability26. Probability and the Normal Curve27. Percentiles and the Normal Curve28. Standard Error of the Mean29. Confidence Interval for the Mean30. Appropriate Figures31. Introduction to the Null Hypothesis32. Decisions About the Null Hypothesis33. Introduction to the Pearson r34. Computation of the Pearson r35. Significance of a Pearson r36. Coefficient of Determination37. Multiple Correlation38. Introduction to Linear Regression39. Computations for Linear Regression40. z Test for One Sample41. When to Reject the Null Hypothesis42. One-Tailed Versus Two-Tailed Tests43. Introduction to the HSD Test44. Computation of t for Independent Data45. Reporting the Results of t Tests46. Computation of t for Dependent Data47. Introduction to Analysis of Variance48. Computations for a One-Way ANOVA49. Tukey's HSD Test50. Scheffe's Test51. Introduction to Two-Way ANOVA52. Significance of the Difference Between Variances53. Introduction to Chi-Square54. Computations for a One-Way Chi-Square55. Computations for a Two-Way Chi-Square56. Cramer's Phi57. Median Test58. Mann-Whitney U Test59. Wilcoxon's Matched-Pairs TestPart C: Putting It All Together60. Descriptive Statistics: Their Value in Research61. Inferential Statistics: Their Value in Research62. Limitations of Inferential Statistics: I63. Limitations of Inferential Statistics: II64. Statistical Versus Practical SignificancePart D: Effect65. Introduction to Effect Size (d)66. Interpretation of Effect Size (d)67. Effect Size and Correlation (r)Part E: SupplementBasic Math Review for Statistics StudentsAppendicesA. Computational Formulas for the Standard DeviationB. Notes on Interpreting the Pearson rC. Definition Formula for the Pearson rD. Spearman's rhoE. Standard Error of EstimateF. Standard Error of a Median and a PercentageG. Confidence Interval for the Mean: Small SamplesH. Computation of the Precise Median I. A Closer Look At Effect SizeJ. Summary of Statistical EquationsTables1. Table of the Normal Curve2. Table of Random Numbers3. Constants Based on t for Computing Confidence Intervals for the Mean Based on Small Samples4. Critical Values of t for Two-Tailed t Test5. Critical Values of t for One-Tailed t Test6. Critical Values of F for the .05 Level7. Critical Values of F for the .01 Level8. Studentized Range Statistic (q) for the .05 Level 9. Studentized Range Statistic (q) for the .01 Level 10. Minimum Values for Significance of a Pearson r11. Critical Values of Chi-Square12. Critical Values of U for the .05 Level13. Critical Values of U for the .01 Level14. Critical Values of T for Wilcoxon's Matched-Pairs TestIndex

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