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Success at Statistics : A Worktext with Humor by Fred Pyrczak (2016, Trade Paperback)
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Über dieses Produkt
Product Identifiers
PublisherRoutledge
ISBN-101936523469
ISBN-139781936523467
eBay Product ID (ePID)219622091
Product Key Features
Number of Pages502 Pages
LanguageEnglish
Publication NameSuccess at Statistics : a Worktext with Humor
Publication Year2016
SubjectResearch & Methodology, Personal Growth / Success
TypeTextbook
AuthorFred Pyrczak
Subject AreaSelf-Help, Psychology
FormatTrade Paperback
Dimensions
Item Height1.1 in
Item Weight48.9 Oz
Item Length11 in
Item Width8.5 in
Additional Product Features
Edition Number6
Intended AudienceCollege Audience
IllustratedYes
Table Of ContentPart A: Descriptive Statistics 1. Why is the Study of Statistics Important? 2. Descriptive Versus Inferential Statistics 3. Scales of Measurement 4. Frequencies, Percentages, and Proportions 5. Introduction to Frequency Distributions 6. Frequency Distribution for Grouped Data 7. Cumulative Frequencies, Cumulative Percentages, and Percentile Ranks 8. Histograms 9. Frequency Polygons 10. Shapes of Distributions 11. Introduction to Summation 12. The Mean: An Average 13. Mean, Median, and Mode 14. Variability: The Range and Interquartile Range 15. Variability: Introduction to the Standard Deviation 16. A Closer Look at the Standard Deviation 17. Another Look at the Standard Deviation 18. Standard Scores 19. Transformed Standard Scores 20. Standard Scores and the Normal Curve 21. Conceptual Introduction to Correlation 22. Scattergrams Part B: Inferential Statistics 23. Introduction to Sampling 24. A Closer Look at Sampling 25. Introduction to Probability 26. Probability and the Normal Curve 27. Percentiles and the Normal Curve 28. Standard Error of the Mean 29. Confidence Interval for the Mean 30. Appropriate Figures 31. Introduction to the Null Hypothesis 32. Decisions About the Null Hypothesis 33. Introduction to the Pearson r 34. Computation of the Pearson r 35. Significance of a Pearson r 36. Coefficient of Determination 37. Multiple Correlation 38. Introduction to Linear Regression 39. Computations for Linear Regression 40. z Test for One Sample 41. When to Reject the Null Hypothesis 42. One-Tailed Versus Two-Tailed Tests 43. Introduction to the HSD Test 44. Computation of t for Independent Data 45. Reporting the Results of t Tests 46. Computation of t for Dependent Data 47. Introduction to Analysis of Variance 48. Computations for a One-Way ANOVA 49. Tukey''s HSD Test 50. Scheffé''s Test 51. Introduction to Two-Way ANOVA 52. Significance of the Difference Between Variances 53. Introduction to Chi-Square 54. Computations for a One-Way Chi-Square 55. Computations for a Two-Way Chi-Square 56. Cramér''s Phi 57. Median Test 58. Mann-Whitney U Test 59. Wilcoxon''s Matched-Pairs Test Part C: Putting It All Together 60. Descriptive Statistics: Their Value in Research 61. Inferential Statistics: Their Value in Research 62. Limitations of Inferential Statistics: I 63. Limitations of Inferential Statistics: II 64. Statistical Versus Practical Significance Part D: Effect 65. Introduction to Effect Size (d) 66. Interpretation of Effect Size (d) 67. Effect Size and Correlation (r) Part E: Supplement Basic Math Review for Statistics Students Appendices A. Computational Formulas for the Standard Deviation B. Notes on Interpreting the Pearson r C. Definition Formula for the Pearson r D. Spearman''s rho E. Standard Error of Estimate F. Standard Error of a Median and a Percentage G. Confidence Interval for the Mean: Small Samples H. Computation of the Precise Median I. A Closer Look At Effect Size J. Summary of Statistical Equations Tables 1. Table of the Normal Curve 2. Table of Random Numbers 3. Constants Based on t for Computing Confidence Intervals for the Mean Based on Small Samples 4. Critical Values of t for Two-Tailed t Test 5. Critical Values of t for One-Tailed t Test 6. Critical Values of F for the .05 Level 7. Critical Values of F for the .01 Level 8. 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 r 11. Critical Values of Chi-Square 12. Critical Values of U for the .05 Level 13. Critical Values of U for the .01 Level 14. Critical Values of T for Wilcoxon''s Matched-Pairs Test Index
Edition DescriptionRevised edition,New Edition
Synopsis- 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., * 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.
