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Statistics for People Who (Think They) Hate Statistics: Using Microsoft

Name: Statistics for People Who (Think They) Hate Statistics: Using Microsoft
SKU: d38436cc2ebe
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Statistics for People Who (Think They) Hate Statistics: Using Microsoft – Digital Instant Dowload.

SKU: d38436cc2ebe Categories: Business, Ebook, Mathematics, Uncategorized Tags: Hate Statistics, Microsoft, People, Salkind, Statistics

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Statistics for People Who (Think They) Hate Statistics: Using Microsoft – Digital Instant Dowload.

Product details:

ISBN-10 ‏ : ‎ 9781483374086
ISBN-13 ‏ : ‎ 978-1483374086
Author: Neil J. Salkind

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.

Table contents:

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

Part IV: Significantly Different: Using Inferential Statistics

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

Part V: Ten Things You’ll Want to Know and Remember

Chapter 21: The Ten (or More) Best (and Most Fun) Internet Sites for Statistics Stuff

Chapter 22: The Ten Commandments of Data Collection

Title tags:

Excel in Data Analysis – Master Statistics Even If You Dislike Maths
Simplify Statistics with Microsoft Tools – A Guide for the Math-Averse
Overcome Statistic Phobia – Easy Microsoft Methods for Non-Statisticians