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; Acknowledgements; About the Authors; 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); Key to Difficulty Icons; Glossary; Real-World Stats; Summary; Time to Practice; Part II Welcome to the Interesting, Flexible, Useful, 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 Plusses of Using R; Where to Find and Download R; The Opening R Screen; A Note About Formatting; Bunches of Data – Free!; Getting R Help; Some Important Lingo; RStudio; Where to Find RStudio and How to Install It; Ordering from RStudio; Summary; Time to Practice; Chapter 3.Using RStudio: Much Easier Than You Think; What You Will Learn in This Chapter; Why RStudio (and Why Not Just R?); 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; Working with Data; Next Step: Using and Importing Datasets; Reading in Established Datasets; Computing Some Statistics; Summary; Time to Practice; Part III Sigma Freud and Descriptive Statistics; Chapter 4.Means to an End: Computing and Understanding Averages; What You Will Learn in This Chapter; 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; 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; Computing the Variance; Using R to Compute Measures of Variability; Real World Stats; Summary; Time to Practice; 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; Other Cool Ways to Chart Data; Using the Computer (R, That Is) to Illustrate Data; Real World Stats; Summary; Time to Practice; 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; Other Cool Correlations; Parting Ways: A Bit About Partial Correlations; Summary; Time to Practice; Chapter 8: 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; 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; 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; Chapter 10.Probability and Why It Counts: Fun with a Bell-Shaped Curve; What You’ll Learn About in this Chapter; Why Probability?; The Normal Curve (A.K.A The Bell-Shaped Curve); Our Favorite Standard Score; Fat and Skinny Frequency Distributions; Real World Stats; Summary; Time to Practice; Part IV Significantly Different: Using Inferential Statistics; Chapter 11.Significantly Significant: What It Means for You and Me; What You’ll Learn About 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; 12. The One-Sample Z-Test: Only the Lonely; What You’ll Learn About 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; Chapter 13.t(ea) for Two: Tests Between the Means of Different Groups; What You’ll Learn About in This Chapter; Introduction to the t-test for Independent Samples; The Path to Wisdom and Knowledge; Computing the t-Test Statistic; Using R to Perform a t-Test; Real-World Stats; Summary; Time to Practice; 14.t(ea) for Two (Again): Tests Between the Means of Related Groups; What You’ll Learn About in This Chapter; Introduction of 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; Chapter 15.Two Groups Too Many? Try Analysis of Variance; 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; Chapter 16.Two Too Many Factors: Factorial Analysis of Variance—A Brief Introduction; What You’ll Learn About in This Chapter; Introduction to Factorial Analysis of Variance; The Path to Wisdom and Knowledge; A New Flavor of ANOVA; All of These Effects; Even More Interesting Interaction Effects; Using R to Compute the F Ratio; Computing the Effect Size for Factorial ANOVA; Real World Stats; Summary; Time to Practice; Chapter 17.Testing Relationships Using the Correlation Coefficient: Cousins or Just Good Friends?; What You’ll Learn About in This Chapter; Introduction to Testing the Correlation Coefficient; The Path to Wisdom and Knowledge; Computing the Test Statistic; Using R to Compute a Correlation Coefficient (Again); Real World Stats; Summary; Time to Practice; 18.Using Linear Regression: Predicting the Future; What You’ll Learn About in this Chapter; Introduction to Linear Regression; What is Prediction All About?; The Logic of Prediction; Drawing the World’s Best Line (for Your Data); How Good is Your Prediction?; Using R to Compute the Regression Line; The More Predictors the Better? Maybe; Real World Stats; Summary; Time to Practice; Part VI More Statistics! More Tools! More Fun!; Chapter 19. Chi-Square and Some Other Nonparametric Tests: What to Do When You’re Not Normal; What You’ll Learn About in this Chapter; Introduction toe Nonparametric Statistics; Introduction to the Goodness of Fit (One-Sample) Chi-Square; Computing the Goodness of Fit Chi-Square Test Statistic; Introduction to the Test of Independence Chi-Square; Computing the Test of Independence Chi-Square Test Statistic; Usin
• Publisher Details: Thousand Oaks : SAGE Publications, Inc
• Publication Date: 2019
• Extent: 1 online resource (544 pages)
• Subjects: 519.50285/5133; Statistics; Social sciences -- Statistical methods; R (Computer program language)
• Languages: English
• ISBNs: 9781544324586; 1544324588
• 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.