## Description

**Test Bank For Statistics for People Who (Think They) Hate Statistics 7th Edition By Salkind**

**Test Bank For Statistics for People Who (Think They) Hate Statistics 7th Edition By Neil J. Salkind, Bruce B. Frey, ISBN: 9781544381855, ISBN: 9781071811771, ISBN: 9781071811757**

Now in its **Seventh Edition**, Neil J. Salkind’s bestselling **Statistics for People Who (Think They) Hate Statistics** with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS®, the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. The **Seventh Edition **includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won’t be intimidated by basic statistical tasks.

**A Complete Teaching & Learning Package accompanies the Seventh Edition!**

**Table Of Content**

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Counting Outcomes

Pivot Tables and Cross-Tabulation: Finding Hidden Patterns

Summary

Time to Practice