Statistics for people who (think they) hate statistics using R. (2019)

• Record Type: Book
• Further Information: Note: Neil J. Salkind, Leslie A. Shaw, Cornell University.
• Authors: Salkind, Neil J; Shaw, Leslie A
• Contents: Preface; Acknowledgments; About the Authors; Digital Resources; PART I • YIPPEE! I’M IN STATISTICS; Chapter 1 • Statistics or Sadistics? It’s Up to You; What You Will Learn in This Chapter; Why Statistics?; A 5-Minute History of Statistics; Statistics: What It Is (and Isn’t); What Am I Doing in a Statistics Class?; Ten Ways to Use This Book (and Learn Statistics at the Same Time!); What Else Does This Book Contain?; Summary; Time to Practice; Student Study Site; PART II • WELCOME TO THE INTERESTING, USEFUL, FLEXIBLE, FUN, AND (VERY) DEEP WORLDS OF R AND RSTUDIO; Chapter 2 • Here’s Why We Love R and How to Get Started; What You Will Learn in This Chapter; A Very Short History of R; The Pluses of Using R; The Minuses of Using R; Other Reasons to Use R?; A Short Note to You (and to Your Instructor) About Open Source (Again!); Where to Find and Download R; Packages and Functions in R; A Note About Formatting; Bunches of Data—Free!; Getting R Help; Getting Help on Help; Some Important Lingo; Where to Find RStudio and How to Install It; Take RStudio for a Test Ride; Ordering From RStudio; Summary; Time to Practice; Student Study Site; Chapter 3 • Using RStudio: Much Easier Than You Think; What You Will Learn in This Chapter; The Grand Tour and All About Those Four Panes; RStudio Pane Goodies; Showing Your Stuff—Working With Menus and Tabs and a Sample Data Analysis Using RStudio; The Basics: +, –, ?, *, and More: Using Operators; Working With Data; Let’s See What’s in the Workspace; Reading in Established Data Sets; Oops! How Do You Correct Console Errors?; Pointing and Clicking to Open a Data Set; Computing Some Statistics; Ten Important Things to Remember About R and RStudio (but Not Necessarily in Order of Importance); Summary; Time to Practice; Student Study Site; PART III • SIGMA FREUD AND DESCRIPTIVE STATISTICS; Chapter 4 • Computing and Understanding Averages: Means to an End; What You Will Learn in This Chapter; Computing the Mean; Computing the Median; Computing the Mode; When to Use What Measure of Central Tendency (and All You Need to Know About Scales of Measurement for Now); Using the Computer to Compute Descriptive Statistics; Real-World Stats; Summary; Time to Practice; Student Study Site; Chapter 5 • Understanding Variability: Vive la Différence; What You Will Learn in This Chapter; Why Understanding Variability Is Important; Computing the Range; Computing the Standard Deviation; Step-by-Step; What’s the Big Deal?; Computing the Variance; Using R to Compute Measures of Variability; Real-World Stats; Summary; Time to Practice; Student Study Site; Chapter 6 • Creating Graphs: A Picture Really Is Worth a Thousand Words; What You Will Learn in This Chapter; Why Illustrate Data?; Ten Ways to a Great Graphic; First Things First: Creating a Frequency Distribution; The Plot Thickens: Creating a Histogram; The Next Step: A Frequency Polygon; Cumulating Frequencies; Other Cool Ways to Chart Data; Using the Computer (R, That Is) to Illustrate Data; Real-World Stats; Summary; Time to Practice; Student Study Site; Chapter 7 • Computing Correlation Coefficients: Ice Cream and Crime; What You Will Learn in This Chapter; What Are Correlations All About?; Computing a Simple Correlation Coefficient; Understanding What the Correlation Coefficient Means; A Determined Effort: Squaring the Correlation Coefficient; Computing the Correlation Coefficient by Entering Data; Computing the Correlation Coefficient by Importing a File; Other Cool Correlations; Parting Ways: A Bit About Partial Correlation; Using R to Compute Partial Correlations; Real-World Stats; Summary; Time to Practice; Student Study Site; Chapter 8 • An Introduction to Understanding Reliability and Validity: Just the Truth; What You Will Learn in This Chapter; An Introduction to Reliability and Validity; Reliability: Doing It Again Until You Get It Right; Different Types of Reliability; Computing Cronbach’s Alpha; Using R to Calculate Cronbach’s Alpha; Understanding the R Output; Computing Interrater Reliability; How Big Is Big? Finally: Interpreting Reliability Coefficients; Validity: Whoa! What Is the Truth?; A Last Friendly Word; Validity and Reliability: Really Close Cousins; Real-World Stats; Summary; Time to Practice; Student Study Site; PART IV • TAKING CHANCES FOR FUN AND PROFIT; Chapter 9 • Hypotheticals and You: Testing Your Questions; What You Will Learn in This Chapter; So You Want to Be a Scientist; Samples and Populations; The Null Hypothesis; The Research Hypothesis; What Makes a Good Hypothesis?; Real-World Stats; Summary; Time to Practice; Student Study Site; Chapter 10 • Probability and Why It Counts: Fun With a Bell-Shaped Curve; What You Will Learn in This Chapter; Why Probability?; The Normal Curve (a.k.a. the Bell-Shaped Curve); Our Favorite Standard Score: The z Score; Hypothesis Testing and z Scores: The First Step; Fat and Skinny Frequency Distributions; Real-World Stats; Summary; Time to Practice; Student Study Site; PART V • SIGNIFICANTLY DIFFERENT: USING INFERENTIAL STATISTICS; Chapter 11 • Significantly Significant: What It Means for You and Me; What You Will Learn in This Chapter; The Concept of Significance; Significance Versus Meaningfulness; An Introduction to Inferential Statistics; An Introduction to Tests of Significance; Be Even More Confident; Real-World Stats; Summary; Time to Practice; Student Study Site; Chapter 12 • The One-Sample z Test: Only the Lonely; What You Will Learn in This Chapter; Introduction to the One-Sample z Test; The Path to Wisdom and Knowledge; Computing the z Test Statistic; Using R to Perform a z Test; Special Effects: Are Those Differences for Real?; Real-World Stats; Summary; Time to Practice; Student Study Site; Chapter 13 • t(ea) for Two: Tests Between the Means of Different Groups; What You Will Learn in This Chapter; Introduction to the t Test for Independent Samples; The Path to Wisdom and Knowledge; Computing the t Test Statistic; The Effect Size and t(ea) for Two; Using R to Perform a t Test; Real-World Stats; Summary; Time to Practice; Student Study Site; Chapter 14 • t(ea) for Two (Again): Tests Between the Means of Related Groups; What You Will Learn in This Chapter; Introduction to the t Test for Dependent Samples; The Path to Wisdom and Knowledge; Computing the t Test Statistic; Using R to Perform a t Test; The Effect Size for t(ea) for Two (Again); Real-World Stats; Summary; Time to Practice; Student Study Site; Chapter 15 • Two Groups Too Many? Try Analysis of Variance; What You Will Learn in This Chapter; Introduction to Analysis of Variance; The Path to Wisdom and Knowledge; Different Flavors of ANOVA; Computing the F Test Statistic; Using R to Compute the F Ratio; The Effect Size for One-Way ANOVA; But Where Is the Difference?; Real-World Stats; Summary; Time to Practice; Student Study Site; Chapter 16 • Two Too Many Factors: Factorial Analysis of Variance—A Brief Introduction; What You Will Learn in This Chapter; Introduction to Factorial Analysis of Variance; The Path to Wisdom and Knowledge; A New Flavor of ANOVA; All of Those Effects; The Main Event: Main Effects in Factorial ANOVA; The Other Rows; Plotting the Means by Group; Even More Interesting
• Publisher Details: Thousand Oaks : SAGE Publications, Inc
• Publication Date: 2019
• Extent: 1 online resource (536 pages)
• Subjects: 519.50285/5133; Statistics; Social sciences -- Statistical methods; R (Computer program language)
• Languages: English
• ISBNs: 9781544324555; 1544324553
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.