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Produktbild: Salkind, N: Statistics for People Who (Think They) Hate Stat

Salkind, N: Statistics for People Who (Think They) Hate Stat

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.09.2019

Verlag

Sage Publications

Seitenzahl

512

Maße (L/B/H)

25.4/17.8/2.8 cm

Gewicht

953 g

Auflage

7th edition

Sprache

Englisch

ISBN

978-1-5443-8185-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.09.2019

Verlag

Sage Publications

Seitenzahl

512

Maße (L/B/H)

25.4/17.8/2.8 cm

Gewicht

953 g

Auflage

7th edition

Sprache

Englisch

ISBN

978-1-5443-8185-5

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  • Produktbild: Salkind, N: Statistics for People Who (Think They) Hate Stat
  • A Note to the Student: Why We Wrote This Book
    Acknowledgments
    And Now, About the Seventh Edition . . .
    About the Authors
    PART I ¿ YIPPEE! I'M IN STATISTICS
    Chapter 1 ¿ Statistics or Sadistics? It's Up to You
    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!)
    About the Book's Features
    Key to Difficulty Icons
    Glossary
    Summary
    Time to Practice
    PART II ¿ SIGMA FREUD AND DESCRIPTIVE STATISTICS
    Chapter 2 ¿ Computing and Understanding Averages: Means to an End
    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 SPSS to Compute Descriptive Statistics
    Summary
    Time to Practice
    Chapter 3 ¿ Understanding Variability: Vive la Différence
    Why Understanding Variability Is Important
    Computing the Range
    Computing the Standard Deviation
    Computing the Variance
    Using SPSS to Compute Measures of Variability
    Summary
    Time to Practice
    Chapter 4 ¿ Creating Graphs: 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
    The Next Step: A Frequency Polygon
    Other Cool Ways to Chart Data
    Using the Computer (SPSS, That Is) to Illustrate Data
    Summary
    Time to Practice
    Chapter 5 ¿ Computing Correlation Coefficients: Ice Cream and Crime
    What Are Correlations All About?
    Computing a Simple Correlation Coefficient
    Squaring the Correlation Coefficient: A Determined Effort
    Other Cool Correlations
    Parting Ways: A Bit About Partial Correlation
    Summary
    Time to Practice
    Chapter 6 ¿ An Introduction to Understanding Reliability and Validity: Just the Truth
    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
    Summary
    Time to Practice
    PART III ¿ TAKING CHANCES FOR FUN AND PROFIT
    Chapter 7 ¿ Hypotheticals and You: Testing Your Questions
    So You Want to Be a Scientist
    Samples and Populations
    The Null Hypothesis
    The Research Hypothesis
    What Makes a Good Hypothesis?
    Summary
    Time to Practice
    Chapter 8 ¿ Probability and Why It Counts: Fun With a Bell-Shaped Curve
    Why Probability?
    The Normal Curve (aka the Bell-Shaped Curve)
    Our Favorite Standard Score: The z Score
    Fat and Skinny Frequency Distributions
    Summary
    Time to Practice
    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
    Be Even More Confident
    Summary
    Time to Practice
    Chapter 10 ¿ The One-Sample z Test: Only the Lonely
    Introduction to the One-Sample z Test
    The Path to Wisdom and Knowledge
    Computing the z Test Statistic
    Using SPSS to Perform a z Test
    Special Effects: Are Those Differences for Real?
    Summary
    Time to Practice
    Chapter 11 ¿ t(ea) for Two: Tests Between the Means of Different Groups
    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 SPSS to Perform a t Test
    Summary
    Time to Practice
    Chapter 12 ¿ t(ea) for Two (Again): Tests Between the Means of Related Groups
    Introduction to the t Test for Dependent Samples
    The Path to Wisdom and Knowledge
    Computing the t Test Statistic
    Using SPSS to Perform a Dependent t Test
    The Effect Size for t(ea) for Two (Again)
    Summary
    Time to Practice
    Chapter 13 ¿ Two Groups Too Many? Try Analysis of Variance
    Introduction to Analysis of Variance
    The Path to Wisdom and Knowledge
    Different Flavors of Analysis of Variance
    Computing the F Test Statistic
    Using SPSS to Compute the F Ratio
    The Effect Size for One-Way ANOVA
    Summary
    Time to Practice
    Chapter 14 ¿ Two Too Many Factors: Factorial Analysis of Variance-A Brief Introduction
    Introduction to Factorial Analysis of Variance
    The Path to Wisdom and Knowledge
    A New Flavor of ANOVA
    The Main Event: Main Effects in Factorial ANOVA
    Even More Interesting: Interaction Effects
    Using SPSS to Compute the F Ratio
    Computing the Effect Size for Factorial ANOVA
    Summary
    Time to Practice
    Chapter 15 ¿ Testing Relationships Using the Correlation Coefficient: Cousins or Just Good Friends?
    Introduction to Testing the Correlation Coefficient
    The Path to Wisdom and Knowledge
    Computing the Test Statistic
    Using SPSS to Compute a Correlation Coefficient (Again)
    Summary
    Time to Practice
    Chapter 16 ¿ Using Linear Regression: Predicting the Future
    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 SPSS to Compute the Regression Line
    The More Predictors the Better? Maybe
    Summary
    Time to Practice
    PART V ¿ MORE STATISTICS! MORE TOOLS! MORE FUN!
    Chapter 17 ¿ Chi-Square and Some Other Nonparametric Tests: What to Do When You're Not Normal
    Introduction to 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
    Using SPSS to Perform Chi-Square Tests
    Other Nonparametric Tests You Should Know About
    Summary
    Time to Practice
    Chapter 18 ¿ Some Other (Important) Statistical Procedures You Should Know About
    Multivariate Analysis of Variance
    Repeated-Measures Analysis of Variance
    Analysis of Covariance
    Multiple Regression
    Meta-Analysis
    Discriminant Analysis
    Factor Analysis
    Path Analysis
    Structural Equation Modeling
    Summary
    Chapter 19 ¿ Data Mining: An Introduction to Getting the Most Out of Your BIG Data
    Our Sample Data Set-Who Doesn't Love Babies?
    Counting Outcomes
    Pivot Tables and Cross-Tabulation: Finding Hidden Patterns
    Summary
    Time to Practice
    Appendix A: SPSS Statistics in Less Than 30 Minutes
    Appendix B: Tables
    Appendix C: Data Sets
    Appendix D: Answers to Practice Questions
    Appendix E: Math: Just the Basics
    Appendix F: A Statistical Software Sampler
    Appendix G: The 10 (or More) Best (and Most Fun) Internet Sites for Statistics Stuff
    Appendix H: The 10 Commandments of Data Collection
    Appendix I: The Reward: The Brownie Recipe
    Glossary
    Index