Statistics for People Who Think They Hate Statistics 6th Edition Salkind Test Bank
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Statistics for People Who Think They Hate Statistics 6th Edition Salkind Test Bank.
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Product details:
- ISBN-10 : 1506333834
- ISBN-13 : 978-1506333830
- Author: Neil J. Salkind
The Sixth Edition of Neil J. Salkind’s best selling Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. New to this edition is an introduction to working with large data sets.
Table of contents:
Chapter 1: Statistics or Sadistics? It’s Up to You
Chapter 2: Means to an End: Computing and Understanding Averages
Chapter 3: Vive la Différence: Understanding Variability
Chapter 4: A Picture Really Is Worth a Thousand Words
Chapter 5: Ice Cream and Crime: Computing 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: Tests 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: A Brief Introduction
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 Nonparametric Tests
Chapter 18: Some Other (Important) Statistical Procedures You Should Know About
Chapter 19: Data Mining: An Introduction to Getting the Most Out of Your BIG Data
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