Success at Statistics: A Worktext with Humor
Rating:
8,2/10
1446
reviews

Computation of t for Dependent Data 47. A Closer Look at the Standard Deviation -- 17. Descriptive Versus Inferential Statistics -- 3. Mann-Whitney U Test -- 59. It goes on to discuss the latest public health initiatives, computer-based evaluations, and Healthy People 2020.

The short sections and humor-based, self-checking riddles are greatly appreciated by students. Decisions About the Null Hypothesis 33. Buy with confidence, excellent customer service! One-Tailed Versus Two-Tailed Tests 43. Students regularly get positive reinforcement as they check their mastery with exercises at the end of each section. Frequency Distribution for Grouped Data -- 7.

Studentized Range Statistic q for the. Another Look at the Standard Deviation -- 18. Mit viel Humor, provokanten Denkanstößen und erprobten Tipps erklärt Ferriss, wie sich die 4-Stunden-Woche bei vollem Lohnausgleich verwirklichen lässt. Introduction to the t Test 44. Students regularly get positive reinforcement as they check their mastery with exercises at the end of each section. Interpretation of Effect Size d -- 67. Provides remediation for students who are rusty in their basic computational skills.

Percentiles and the Normal Curve 28. The Ninth Edition highlights the practical skills and materials that readers need and clearly outlines each chapters objectives. This item is not accompanied by any supplemental material: key codes, cd's, info-trac, access cards, etc. 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.

The short sections and humor-based, self-checking riddles are greatly appreciated by students. Introduction to the Null Hypothesis -- 32. Significance of the Difference Between Variances -- 53. With computational skills mastered, students can concentrate on more important course objectives. Used - Good, Normalmente se envía en el plazo de 1-2 días laborable, Por favor esperar de 7 a 15 dias para la entrega. · A comprehensive basic math review at the end of this book may be used to help students whose math skills are rusty.

Studentized Range Statistic q for the. Probability and the Normal Curve 27. Computations for Linear Regression 40. Introduction to Sampling -- 24. Appendix J: A summary table of all statistical equations and guidelines for choosing a particular statistical test.

When to Reject the Null Hypothesis -- 42. A Closer Look at the Standard Deviation -- 17. Each exercise is based on a humorous riddle. Computation of t for Dependent Data 47. Table of the Normal Curve 2.

Used - Acceptable, Usually ships in 1-2 business days, We do not upload listing photo. ? Critical Values of U for the. Probability and the Normal Curve -- 27. Introduction to Frequency Distributions -- 6. New to this edition: Section 1: Explains the importance of statistical techniques in the advancement of scientific knowledge. · A comprehensive basic math review at the end of this book may be used to help students whose math skills are rusty.

Introduction to Analysis of Variance -- 48. Standard Scores and the Normal Curve -- 21. Der junge Unternehmer war lange Workaholic mit 80-Stunden-Woche. Descriptive Statistics: Their Value in Research 61. Descriptive versus inferential statistics -- Scales of measurement -- Frequencies, percentages, and proportions -- Introduction to frequency distributions -- Frequency distributions for grouped data -- Cumulative frequencies, cumulative percentages, and percentile ranks -- Histograms -- Frequency polygons -- Shapes of distributions -- The mean: an average -- Mean, median, and mode -- Variability: the range and interquartile range; introduction to the standard deviation -- A closer look at the standard deviation -- Another look at the standard deviation -- Standard scores -- Transformed standard scores -- Standard scores and the normal curve -- Conceputal introduction to correlation -- Scattergrams -- Introduction and computation of the Pearson r.