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
