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# Test Bank (Downloadable Product) for Statistics for People Who (Think They) Hate Statistics 6th Edition By Neil J. Salkind, ISBN: 9781506378145, ISBN: 9781506380278

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Downloadable Instructor Test Bank for Statistics for People Who (Think They) Hate Statistics 6th Edition Salkind

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Test Bank for Statistics for People Who (Think They) Hate Statistics 6th Edition Salkind

Downloadable Instructor Test Bank for Statistics for People Who (Think They) Hate Statistics 6th Edition By Neil J. Salkind, ISBN: 9781506378145, ISBN: 9781506380278

Table Of Content

A Note to the Student: Why I Wrote This Book
Acknowledgments
And Now, About the Sixth Edition
PART I- Yippee! I’m in Statistics
1. Statistics or Sadistics? It’s Up to You

What You Will Learn in This Chapter

Why Statistics?

And Why SPSS?

A 5-Minute History of Statistics

Statistics: What It Is (and Isn’t)

What Are Descriptive Statistics?

What Are Inferential Statistics?

In Other Words . . .

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- Sigma Freud and Descriptive Statistics
2. Means to an End: Computing and Understanding Averages

What You Will Learn in This Chapter

Computing the Mean

Computing a Weighted Mean

Computing the Median

Computing the Mode

Apple Pie à la Bimodal

When to Use What Measure of Central Tendency (and All You Need to Know About Scales of Measurement for Now)

A Rose by Any Other Name: The Nominal Level of Measurement

Any Order Is Fine With Me: The Ordinal Level of Measurement

1 + 1 = 2: The Interval Level of Measurement

Can Anyone Have Nothing of Anything? The Ratio Level of Measurement

In Sum . . .

Using the Computer to Compute Descriptive Statistics

The SPSS Output

Real-World Stats

Summary

Time to Practice

3. Vive la Différence: Understanding Variability

What You Will Learn in This Chapter

Why Understanding Variability Is Important

Computing the Range

Computing the Standard Deviation

Why n – 1? What’s Wrong With Just n?

What’s the Big Deal?

Computing the Variance

The Standard Deviation Versus the Variance

Using the Computer to Compute Measures of Variability

The SPSS Output

More SPSS Output

Real-World Stats

Summary

Time to Practice

4. A Picture Really Is Worth a Thousand Words

What You Will Learn in This Chapter

Why Illustrate Data?

Ten Ways to a Great Figure (Eat Less and Exercise More?)

First Things First: Creating a Frequency Distribution

The Classiest of Intervals

The Plot Thickens: Creating a Histogram

The Tallyho Method

The Next Step: A Frequency Polygon

Cumulating Frequencies

Other Cool Ways to Chart Data

Bar Charts

Column Charts

Line Charts

Pie Charts

Using the Computer (SPSS, That Is) to Illustrate Data

Creating a Histogram

Creating a Bar Graph

Creating a Line Graph

Creating a Pie Chart

Real-World Stats

Summary

Time to Practice

5. Ice Cream and Crime: Computing Correlation Coefficients

What You Will Learn in This Chapter

Types of Correlation Coefficients: Flavor 1 and Flavor 2

Computing a Simple Correlation Coefficient

A Visual Picture of a Correlation: The Scatterplot

Bunches of Correlations: The Correlation Matrix

Understanding What the Correlation Coefficient Means

Using-Your-Thumb (or Eyeball) Method

A Determined Effort: Squaring the Correlation Coefficient

As More Ice Cream Is Eaten . . . the Crime Rate Goes Up (or Association vs. Causality)

Using SPSS to Compute a Correlation Coefficient

Creating a Scatterplot (or Scattergram or Whatever)

Other Cool Correlations

Parting Ways: A Bit About Partial Correlation

Using SPSS to Compute Partial Correlations

Real-World Stats

Summary

Time to Practice

6. Just the Truth: An Introduction to Understanding Reliability and Validity

What You Will Learn in This Chapter

An Introduction to Reliability and Validity

What’s Up With This Measurement Stuff?

Reliability: Doing It Again Until You Get It Right

Test Scores: Truth or Dare?

Observed Score = True Score + Error Score

Different Types of Reliability

Test–Retest Reliability

Parallel Forms Reliability

Internal Consistency Reliability

Interrater Reliability

How Big Is Big? Finally: Interpreting Reliability Coefficients

And If You Can’t Establish Reliability . . . Then What?

Just One More Thing

Validity: Whoa! What Is the Truth?

Different Types of Validity

Content Validity

Criterion Validity

Construct Validity

And If You Can’t Establish Validity . . . Then What?

A Last Friendly Word

Validity and Reliability: Really Close Cousins

Real-World Stats

Summary

Time to Practice

PART III- Taking Chances for Fun and Profit
7. 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 Purposes of the Null Hypothesis

The Research Hypothesis

The Nondirectional Research Hypothesis

The Directional Research Hypothesis

Some Differences Between the Null Hypothesis and the Research

Hypothesis

What Makes a Good Hypothesis?

Real-World Stats

Summary

Time to Practice

8. Are Your Curves Normal? Probability and Why It Counts

What You Will Learn in This Chapter

Why Probability?

The Normal Curve (a.k.a. the Bell-Shaped Curve)

Hey, That’s Not Normal!

More Normal Curve

Our Favorite Standard Score: The z Score

What z Scores Represent

What z Scores Really Represent

Hypothesis Testing and z Scores: The First Step

Using SPSS to Compute z Scores

Fat and Skinny Frequency Distributions

Average Value

Variability

Skewness

Kurtosis

Real-World Stats

Summary

Time to Practice

PART IV- Significantly Different: Using Inferential Statistics
9. Significantly Significant: What It Means for You and Me

What You Will Learn in This Chapter

The Concept of Significance

If Only We Were Perfect

The World’s Most Important Table (for This Semester Only)

Back to Type I Errors

Significance Versus Meaningfulness

An Introduction to Inferential Statistics

How Inference Works

How to Select What Test to Use

Here’s How to Use the Chart

An Introduction to Tests of Significance

How a Test of Significance Works: The Plan

Here’s the Picture That’s Worth a Thousand Words

Be Even More Confident

Real-World Stats

Summary

Time to Practice

10. Only the Lonely: The One-Sample Z-Test

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

So How Do I Interpret z = 2.38, p < .05?

Using SPSS to Perform a Z-Test

Special Effects: Are Those Differences for Real?

Understanding Effect Size

Real-World Stats

Summary

Time to Practice

11. 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

Time for an Example

So How Do I Interpret t(58) = –0.14, p > .05?

The Effect Size and t(ea) for Two

Computing and Understanding the Effect Size

Two Very Cool Effect Size Calculators

Using SPSS to Perform a t-Test

Real-World Stats

Summary

Time to Practice

12. 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

So How Do I Interpret t(24) = 2.45, p < .05?

Using SPSS to Perform a t-Test

The Effect Size for t(ea) for Two (Again)

Real-World Stats

Summary

Time to Practice

13. 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

So How Do I Interpret F(2, 27) = 8.80, p < .05

Using SPSS to Compute the F Ratio

The Effect Size for One-Way ANOVA

Real-World Stats

Summary

Time to Practice

14. 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

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

Real-World Stats

Summary

Time to Practice

15. Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient

What You Will Learn in This Chapter

Introduction to Testing the Correlation

Coefficient

The Path to Wisdom and Knowledge

Computing the Test Statistic

So How Do I Interpret r(28) = .437, p < .05?

Causes and Associations (Again!)

Significance Versus Meaningfulness (Again, Again!)

Using SPSS to Compute a Correlation Coefficient (Again)

Real-World Stats

Summary

Time to Practice

16. Predicting Who’ll Win the Super Bowl: Using Linear Regression

What You Will Learn in This Chapter

Introduction to Linear Regression

The Logic of Prediction

Drawing the World’s Best Line (for Your Data)

Using SPSS to Compute the Regression Line

The More Predictors the Better? Maybe

The Big Rule(s) When It Comes to Using Multiple Predictor Variables

Real-World Stats

Summary

Time to Practice

PART V- More Statistics! More Tools! More Fun!
17. What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

What You Will Learn in This Chapter

Introduction to Nonparametric Statistics

Introduction to the Goodness of Fit (One-Sample) Chi-Square

Computing the Goodness of Fit Chi-Square Test Statistic

So How Do I Interpret ?2 (2) = 20.6, p < .05?

Introduction to the Test of Independence Chi-Square

Computing the Test of Independence Chi-Square Test Statistic

Using SPSS to Perform Chi-Square Tests

Goodness of Fit and SPSS

Test of Independence and SPSS

Other Nonparametric Tests You Should Know About

Real-World Stats

Summary

Time to Practice

18. Some Other (Important) Statistical Procedures You Should Know About

What You Will Learn in This Chapter

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

19. Data Mining: An Introduction to Getting the Most Out of Your BIG Data

What You Will Learn in This Chapter

Our Sample Data Set—Who Doesn’t Love Babies?

Counting Outcomes

Counting With Frequencies

Pivot Tables and Cross-Tabulation: Finding Hidden Patterns

Creating a Pivot Table

Modifying a Pivot Table

Summary

Time to Practice

20. A Statistical Software Sampler

What You Will Learn in This Chapter

Selecting the Perfect Statistics Software

What’s Out There

First, the Free Stuff

Time to Pay

Summary

PART VI- Ten Things (Times Two) You’ll Want to Know and Remember
21. The Ten (or More) Best (and Most Fun) Internet Sites for Statistics Stuff

What You Will Learn in This Chapter

How About Studying Statistics in Stockholm

Who’s Who and What’s Happened?

It’s All Here

HyperStat

Data? You Want Data?

More and More Resources

Online Statistical Teaching Materials

And, of Course, YouTube . . .

And, Finally . . .

22. The Ten Commandments of Data Collection
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- The Reward: The Brownie Recipe
Glossary
Index