Description
Test Bank for Statistics for Statistics for People Who (Think They) Hate Statistics Using R Salkind
Downloadable Instructor Test Bank for Statistics for Statistics for People Who (Think They) Hate Statistics Using R By Neil J. Salkind, Leslie A. Shaw, ISBN: 9781544324579
Table Of Content
What You Will Learn in This Chapter
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!)
What Else Does This Book Contain?
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
A Very Short History of R
The Pluses of Using R
The Minuses of Using R
Other Reasons to Use R?
A Short Note to You (and to Your Instructor) About Open Source (Again!)
Where to Find and Download R
Packages and Functions in R
A Note About Formatting
Bunches of Data—Free!
Getting R Help
Getting Help on Help
Some Important Lingo
Where to Find RStudio and How to Install It
Take RStudio for a Test Ride
Ordering From RStudio
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
The Grand Tour and All About Those Four Panes
RStudio Pane Goodies
Showing Your Stuff—Working With Menus and Tabs and a Sample Data Analysis Using RStudio
The Basics: +, –, ?, *, and More: Using Operators
Working With Data
Let’s See What’s in the Workspace
Reading in Established Data Sets
Oops! How Do You Correct Console Errors?
Pointing and Clicking to Open a Data Set
Computing Some Statistics
Ten Important Things to Remember About R and RStudio (but Not Necessarily in Order of Importance)
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
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 the Computer to Compute Descriptive Statistics
Real-World Stats
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
Why Understanding Variability Is Important
Computing the Range
Computing the Standard Deviation
Step-by-Step
What’s the Big Deal?
Computing the Variance
Using R to Compute Measures of Variability
Real-World Stats
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
Why Illustrate Data?
Ten Ways to a Great Graphic
First Things First: Creating a Frequency Distribution
The Plot Thickens: Creating a Histogram
The Next Step: A Frequency Polygon
Cumulating Frequencies
Other Cool Ways to Chart Data
Using the Computer (R, That Is) to Illustrate Data
Real-World Stats
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
What Are Correlations All About?
Computing a Simple Correlation Coefficient
Understanding What the Correlation Coefficient Means
A Determined Effort: Squaring the Correlation Coefficient
Computing the Correlation Coefficient by Entering Data
Computing the Correlation Coefficient by Importing a File
Other Cool Correlations
Parting Ways: A Bit About Partial Correlation
Using R to Compute Partial Correlations
Real-World Stats
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
An Introduction to Reliability and Validity
Reliability: Doing It Again Until You Get It Right
Different Types of Reliability
Computing Cronbach’s Alpha
Using R to Calculate Cronbach’s Alpha
Understanding the R Output
Computing Interrater 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
Real-World Stats
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
So You Want to Be a Scientist
Samples and Populations
The Null Hypothesis
The Research Hypothesis
What Makes a Good Hypothesis?
Real-World Stats
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
Why Probability?
The Normal Curve (a.k.a. the Bell-Shaped Curve)
Our Favorite Standard Score: The z Score
Hypothesis Testing and z Scores: The First Step
Fat and Skinny Frequency Distributions
Real-World Stats
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
The Concept of Significance
Significance Versus Meaningfulness
An Introduction to Inferential Statistics
An Introduction to Tests of Significance
Be Even More Confident
Real-World Stats
Summary
Time to Practice
Student Study Site
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
Using R to Perform a z Test
Special Effects: Are Those Differences for Real?
Real-World Stats
Summary
Time to Practice
Student Study Site
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
The Effect Size and t(ea) for Two
Using R to Perform a t Test
Real-World Stats
Summary
Time to Practice
Student Study Site
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
Using R to Perform a t Test
The Effect Size for t(ea) for Two (Again)
Real-World Stats
Summary
Time to Practice
Student Study Site
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
Using R to Compute the F Ratio
The Effect Size for One-Way ANOVA
But Where Is the Difference?
Real-World Stats
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
Introduction to Factorial Analysis of Variance
The Path to Wisdom and Knowledge
A New Flavor of ANOVA
All of Those Effects
The Main Event: Main Effects in Factorial ANOVA
The Other Rows
Plotting the Means by Group
Even More Interesting Interaction Effects
Assumptions About Variances
Using R to Compute the F Ratio
Computing the Effect Size for Factorial ANOVA
Real-World Stats
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
Introduction to Testing the Correlation Coefficient
The Path to Wisdom and Knowledge
Computing the Test Statistic
Causes and Associations (Again!)
Using R to Compute a Correlation Coefficient (Again)
Real-World Stats
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
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 R to Compute the Regression Line
Understanding the R Output
The More Predictors the Better? Maybe
Real-World Stats
Summary
Time to Practice
Student Study Site
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
Introduction to the Test of Independence Chi-Square
Computing the Test of Independence Chi-Square Test Statistic
Using R to Perform Chi-Square Tests
Understanding the R Output
Other Nonparametric Tests You Should Know About
Real-World Stats
Summary
Time to Practice
Student Study Site
What You Will Learn in This Chapter
Multivariate Analysis of Variance
Repeated-Measures Analysis of Variance
Analysis of Covariance
Multiple Regression
Multilevel Models
Meta-Analysis
Logistic Regression
Factor Analysis
Path Analysis
Structural Equation Modeling
Summary
Student Study Site
