Test Bank for Statistics for People Who Think They Hate Statistics Using Microsoft Excel 2016 4th Edition Salkind 1483374084 9781483374086

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Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book′s unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel.

Language: English
ISBN-10: 1483374084
ISBN-13: 978-1483374086
ISBN-13: 9781483374086

Auther: Neil J. Salkind

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Table of Content:

Part I: Yippee! I’m in Statistics
Chapter 1: Statistics or Sadistics? It’s Up to You
Part II: Sigma Freud and Descriptive Statistics
Chapter 2: Computing and Understanding Averages: Means to an End
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
Part III: Taking Chances for Fun and Profit
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: A Statistical Software Sampler
Chapter 20: (Mini) Data Mining: A Introduction to Getting The Most Out Of Your BIG Data
Chapter 21: The Ten (or More) Best (and Most Fun) Internet Sites for Statistics Stuff
Chapter 22: The Ten Commandments of Data Collection

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