Statistics for People Who (Think They) Hate Statistics,7e by Salkind Test Bank

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Test bank for Statistics for People Who (Think They) Hate Statistics,7th Edition, 7e by Neil J. Salkind TEST BANK ISBN-13: 9781544385471 Full chapters included PART I • YIPPEE! I’M IN ST... ATISTICS 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 [Show More]

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