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Produktbild: Statistics For People Who (thi

Statistics For People Who (thi Using Microsoft Excel 2016

Fr. 89.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.03.2016

Verlag

Sage Publications

Seitenzahl

544

Maße (L/B/H)

25.4/17.7/2.2 cm

Gewicht

882 g

Auflage

4 Revised edition

Sprache

Englisch

ISBN

978-1-4833-7408-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.03.2016

Verlag

Sage Publications

Seitenzahl

544

Maße (L/B/H)

25.4/17.7/2.2 cm

Gewicht

882 g

Auflage

4 Revised edition

Sprache

Englisch

ISBN

978-1-4833-7408-6

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  • Produktbild: Statistics For People Who (thi
  • Part I: Yippee! I'm in Statistics
    Chapter 1: Statistics or Sadistics? It's Up to You
    Why Statistics?
    A Five-Minute History of Statistics
    Statistics: What It Is (and Isn't)
    Tooling Around With the Analysis ToolPak
    What Am I Doing in a Statistics Class?
    Ten Ways to Use This Book (and Learn Statistics at the Same Time!)
    About Those Icons
    Key to Difficulty Icons
    Key to "How Much Excel" Icons
    Little Chapter 1a. All You Need to Know About Formulas and Functions
    What's a Formula?
    What's a Function?
    Little Chapter 1b. All You Need to Know About Using the Amazing Analysis ToolPak
    A Look at the Analysis ToolPak
    Don't Have It?
    Little Chapter 1c. Mac Lovers Rejoice! StatPlus: The Mac Alternative to the Analysis ToolPak
    Little Chapter 1c. For Mac Lovers Who are Still using Version 2011: Rejoice!! And, for Mac Lovers Who are new to Version 2016, Rejoice More!!!
    Part II: Sigma Freud and Descriptive Statistics
    Chapter 2: Computing and Understanding Averages: Means to an End
    Computing the Mean
    Computing a Weighted Mean
    Computing the Median
    Computing the Mode
    Using the Amazing Analysis ToolPak to Compute Descriptive Statistics
    When to Use What
    Chapter 3: Vive la Différence: Understanding Variability
    Why Understanding Variability Is Important
    Computing the Range
    Computing the Standard Deviation
    Computing the Variance
    And Now... Using Excel's VAR.S Function
    The Standard Deviation Versus the Variance
    Using the Amazing Analysis ToolPak (Again!)
    Chapter 4: A Picture Really Is Worth a Thousand Words
    Why Illustrate Data?
    Ten Ways to a Great Figure (Eat Less and Exercise More?)
    First Things First: Creating a Frequency Distribution
    The Plot Thickens: Creating a Histogram
    Fat and Skinny Frequency Distributions
    Excellent Charts
    Excellent Charts Part Deux: Making Charts Pretty
    Other Cool Charts
    Chapter 5: Ice Cream and Crime: Computing Correlation Coefficients
    What Are Correlations All About?
    Computing a Simple Correlation Coefficient
    More Excel-Bunches of Correlations à la Excel
    Using the Amazing Analysis ToolPak to Compute Correlations
    Understanding What the Correlation Coefficient Means
    As More Ice Cream Is Eaten... the Crime Rate Goes Up (or Association Versus Causality)
    Other Cool Correlations
    Chapter 6: Just the Truth: An Introduction to Understanding Reliability and Validity
    An Introduction to Reliability and Validity
    All About Measurement Scales
    Reliability-Doing It Again Until You Get It Right
    Validity-Whoa! What Is the Truth?
    A Last, Friendly Word
    Validity and Reliability: Really Close Cousins
    Part III: Taking Chances for Fun and Profit
    Chapter 7: Hypotheticals and You: Testing Your Questions
    So You Want to Be a Scientist...
    The Null Hypothesis
    The Research Hypothesis
    What Makes a Good Hypothesis?
    Chapter 8: Are Your Curves Normal? Probability and Why It Counts
    Why Probability?
    The Normal Curve (aka the Bell-Shaped Curve)
    Our Favorite Standard Score: The z Score
    Part IV: Significantly Different: Using Inferential Statistics
    Chapter 9: Significantly Significant: What It Means for You and Me
    The Concept of Significance
    Significance Versus Meaningfulness
    An Introduction to Inferential Statistics
    An Introduction to Tests of Significance
    An Introduction to Tests of Significance
    Chapter 10: Only the Lonely: The One-Sample Z-Test
    Introduction to the One-Sample Z-Test
    Computing the Test Statistic
    Using the Excel Z.TEST Function to Compute the z Value
    Chapter 11: t(ea) for Two: Tests Between the Means of Different Groups
    Introduction to the t-Test for Independent Samples
    Computing the Test Statistic
    Using the Amazing Analysis ToolPak to Compute the t Value
    Special Effects: Are Those Differences for Real?
    Chapter 12: t(ea) for Two (Again): Tests Between the Means of Related Groups
    Introduction to the t-Test for Dependent Samples
    Computing the Test Statistic
    Using the Amazing Analysis ToolPak to Compute the t Value
    Chapter 13: Two Groups Too Many? Try Analysis of Variance
    Introduction to Analysis of Variance
    Computing the F-Test Statistic
    Using the Amazing Analysis ToolPak to Compute the F Value
    Chapter 14: Two Too Many Factors: Factorial Analysis of Variance-A Brief Introduction
    Introduction to Factorial Analysis of Variance
    The Main Event: Main Effects in Factorial ANOVA
    Even More Interesting: Interaction Effects
    Computing the ANOVA F Statistic Using the Amazing Analysis ToolPak
    Chapter 15: Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient
    Introduction to Testing the Correlation Coefficient
    Computing the Test Statistic
    Chapter 16: Predicting Who'll Win the Super Bowl: Using Linear Regression
    What Is Prediction All About?
    The Logic of Prediction
    Drawing the World's Best Line (for Your Data)
    Computing the Regression Equation Using the Amazing Analysis ToolPak
    How Good Is Our Prediction?
    The More Predictors, the Better? Maybe
    Chapter 17: What to Do When You're Not Normal: Chi-Square and Some Other Nonparametric Tests
    Introduction to Nonparametric Statistics
    Introduction to One-Sample Chi-Square
    Computing the Chi-Square Test Statistic
    Other Nonparametric Tests You Should Know About
    Chapter 18: Some Other (Important) Statistical Procedures You Should Know About
    Post Hoc Comparisons
    Multivariate Analysis of Variance
    Repeated Measures Analysis of Variance
    Analysis of Covariance
    Multiple Regression
    Logistic Regression
    Factor Analysis
    Data Mining
    Path Analysis
    Structural Equation Modeling
    Chapter 19: A Statistical Software Sampler
    Selecting the Perfect Statistics Software
    What's Out There
    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
    How About Studying Statistics in Stockholm?
    Calculators Galore!
    Who's Who and What's Happened
    It's All Here
    HyperStat
    Data? You Want Data?
    More and More Resources
    Plain, But Fun
    Online Statistical Teaching Materials
    And, of Course, YouTube...
    Chapter 22: The Ten Commandments of Data Collection
    Appendix A: Excel-erate Your Learning: All You Need to Know About Excel
    Appendix B: Tables
    Appendix C: Data Sets
    Appendix D: Answers to Practice Questions
    Appendix E: Math - Just the Basics
    Appendix F: The Reward: The Brownie Recipe