Study guide to accompany Neil J. Salkind's Statistics for people who (think they) hate statistics, 5 edition
著者
書誌事項
Study guide to accompany Neil J. Salkind's Statistics for people who (think they) hate statistics, 5 edition
SAGE, c2015
5 ed
- : pbk
- タイトル別名
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Study guide to accompany Neil J. Salkind's Statistics for people who (think they) hate statistics, 5th edition
Study guide to accompany Neil J. Salkind's Statistics for people who think they hate statistics, 5 edition
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内容説明・目次
内容説明
The student Study Guide to accompany the bestselling Statistics for People Who (Think They) Hate Statistics, Fifth Edition helps students develop an understanding of an often intimidating and difficult subject with an approach that is informative, personable, and clear, taking students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, through inferential techniques, analysis of variance, and more. The Fifth Edition offers more examples and exercises than ever before, so students can apply their knowledge in a hands-on way. The Study Guide includes chapter outlines and summaries, learning objectives, key terms, true/false, short answer and essay questions, and answers to all questions.
目次
Chapter 1: Statistics or Sadistics? It's up to You
Chapter 2: Means to an End: Computing and Understanding Averages
Chapter 3: Vive La Difference: Understanding Variability
Chapter 4: A Picture Really is Worth a Thousand Words
Chapter 5: Ice Cream and Crime: Correlation Coefficients
Chapter 6: Just the Truth: An Introduction to Understanding Reliability and Validity
Chapter 7: Hypotheticals and You: Testing Your Questions
Chapter 8: Are Your Curves Normal? Probability and Why It Counts
Chapter 9: Significantly Significant: What It Means for You and Me
Chapter 10: Only the Lonely: The One-Sample Z Test
Chapter 11: t(ea) for Two: Test between the Means of Different Groups
Chapter 12: t(ea) for Two (Again): Tests between the Means of Related Groups
Chapter 13: Two Groups Too Many? Try Analysis of Variance
Chapter 14: Two Too Many Factors: Factorial Analysis of Variance
Chapter 15: Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient
Chapter 16: Predicting Who'll Win the Super Bowl: Using Linear Regression
Chapter 17: What to Do When You're Not Normal: Chi-Square and Some Other Non-Parametric Tests
Chapter 18: Some Other (Important) Statistical Procedures You Should Know about
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