Test Bank for Essentials of Statistics for the Behavioral Sciences, 5th Edition, 5e by Susan A. Nolan, Thomas Heinzen
CLICK TO ACCESS: Test Bank for Essentials of Statistics for the Behavioral Sciences, 5th Edition, 5e by Susan A. Nolan, Thomas Heinzen
ISBN-13: 9781319247195
TABLE OF CONTENTS
CHAPTER 1 An Introduction to Statistics
and Research Design
The Two
Branches of Statistics
Descriptive
Statistics
Inferential
Statistics
Distinguishing
Between a Sample and a Population
How to
Transform Observations into Variables
Discrete
Observations
Continuous
Observations
Variables
and Research
Independent,
Dependent, and Confounding Variables
Reliability
and Validity
Introduction
to Hypothesis Testing
Correlational
Studies and the Danger of Confounding Variables
Conducting
Experiments to Control for Confounding Variables
Between-Groups
Design Versus Within-Groups Design
Introduction
to Data Ethics
Review of
Concepts
SPSS
Exercises
Terms
CHAPTER 2 Frequency Distributions
Frequency
Distributions
Frequency
Tables
Grouped
Frequency Tables
Histograms
Shapes of
Distributions
Normal
Distributions
Skewed
Distributions
Review of
Concepts
SPSS
How it
Works
Exercises
Terms
CHAPTER 3 Visual Displays of Data
Common
Types of Graphs
Line
Graphs
Bar Graphs
Dot Plots
Pictorial
Graphs
How to
Build a Graph
Choosing
the Appropriate Type of Graph
How to
Read a Graph
Guidelines
for Creating a Graph
The Future
of Graphs
Review of
Concepts
SPSS
How it
Works
Exercises
Terms
CHAPTER 4 Central Tendency and Variability
Central
Tendency
Mean: The
Arithmetic Average
Median:
The Middle Score
Mode: The
Most Common Score
How
Outliers Affect Measures of Central Tendency
Measures
of Variability
Range
The
Interquartile Range
Variance
Standard
Deviation
Review of
Concepts
SPSS
How it
Works
Exercises
Terms
CHAPTER 5 Sampling and Probability
Samples
and their Populations
Random
Sampling
Convenience
Sampling
Convenience
Samples Can Create Generalizability Problems
Random
Assignment
Probability
Coincidence
and Probability
Expected
Relative-Frequency Probability
Independence
and Probability
Inferential
Statistics
Developing
Hypotheses
Making a
Decision About a Hypothesis
Type I and
Type II Errors
Type I
Errors
Type II
Errors
The
Shocking Prevalence of Type I Errors
Review of
Concepts
SPSS
How it
Works
Exercises
Terms
CLICK TO ACCESS: Test Bank for Essentials of Statistics for the Behavioral Sciences, 5th Edition, 5e by Susan A. Nolan, Thomas Heinzen
ISBN-13: 9781319247195
CHAPTER 6 The Normal Curve,
Standardization, and z Scores
The Normal
Curve
Standardization,
z Scores, and the Normal Curve
The Need
for Standardization
Transforming
Raw Scores into z Scores
Transforming
z Scores into Raw Scores
Using z
Scores to Make Comparisons
Transforming
z Scores into Percentiles
The
Central Limit Theorem
Creating a
Distribution of Means
Characteristics
of the Distribution of Means
Using the
Central Limit Theorem to Make Comparisons with z Scores
Review of
Concepts
SPSS
How it
Works
Exercises
Terms
CHAPTER 7 Hypothesis Testing with z Tests
The z
Table
Raw
Scores, z Scores, and Percentages
The z
Table and Distributions of Means
The
Assumptions and Steps of Hypothesis Testing
The Three
Assumptions for Conducting Analyses
The Six
Steps of Hypothesis Testing
The z Test
An Example
of the z Test
HARKing
and p-Hacking
Review of
Concepts
SPSS
How it
Works
Exercises
Terms
CHAPTER 8 Confidence Intervals, Effect
Size, and Statistical Power
The New
Statistics
Confidence
Intervals
Interval
Estimates
Calculating
Confidence Intervals with z Distributions
Effect
Size
The Effect
of Sample Size on Statistical Significance
What
Effect Size Is
Cohen’s d
Meta-Analysis
Statistical
Power
Making
Correct Decisions
Sample
Size Planning
Review of
Concepts
How it
Works
Exercises
Terms
CHAPTER 9 The Single-Sample t Test and the
Paired-Samples t Test
The t
Distributions
Estimating
Population Standard Deviation from a Sample
Calculating
Standard Error for the t Statistic
Using
Standard Error to Calculate the t Statistic
The
Single-Sample t Test
The t
Table and Degrees of Freedom
The Six
Steps of the Single-Sample t Test
Calculating
a Confidence Interval for a Single-Sample t Test
Calculating
Effect Size for a Single-Sample t Test
The
Paired-Samples t Test
Distributions
of Mean Differences
The Six
Steps of the Paired-Samples t Test
Calculating
a Confidence Interval for a Paired-Samples t Test
Calculating
Effect Size for a Paired-Samples t Test
Replication
and Reproducibility
Review of
Concepts
SPSS
How it
Works
Exercises
Terms
CHAPTER 10 The Independent-Samples t Test
Conducting
an Independent-Samples t Test
A
Distribution of Differences Between Means
The Six
Steps of the Independent-Samples t Test
Reporting
the Statistics
Beyond
Hypothesis Testing
Calculating
a Confidence Interval for an Independent-Samples t Test
Calculating
Effect Size for an Independent-Samples t Test
Review of
Concepts
SPSS
How it
Works
Exercises
Terms
CHAPTER 11 One-Way Between-Groups ANOVA
Using the
F Distributions with Three or More Samples
Type I
Errors When Making Three or More Comparisons
The F
Statistic as an Expansion of the z and t Statistics
The F
Distributions for Analyzing Variability to Compare Means
The F
Table
The
Language and Assumptions for ANOVA
One-Way
Between-Groups ANOVA
Everything
About ANOVA but the Calculations
The Logic
and Calculations of the F Statistic
Making a
Decision
Beyond
Hypothesis Testing for the One-Way Between-Groups ANOVA
R2 and
Omega Squared, Effect Sizes for ANOVA
Post Hoc
Tests
The Tukey
HSD Test
Review of
Concepts
SPSS
How it
Works
Exercises
Terms
CLICK TO ACCESS: Test Bank for Essentials of Statistics for the Behavioral Sciences, 5th Edition, 5e by Susan A. Nolan, Thomas Heinzen
ISBN-13: 9781319247195
CHAPTER 12 Two-Way Between-Groups ANOVA
Two-Way
ANOVA
Why We Use
Two-Way ANOVA
The More
Specific Vocabulary of Two-Way ANOVA
Two Main
Effects and an Interaction
Understanding
Interactions in ANOVA
Interactions
and Public Policy
Interpreting
Interactions
Conducting
a Two-Way Between-Groups ANOVA
The Six
Steps of Two-Way ANOVA
Identifying
Four Sources of Variability in a Two-Way ANOVA
Effect
Size for Two-Way ANOVA
Variations
on ANOVA
Review of
Concepts
SPSS
How it
Works
Exercises
Terms
CHAPTER 13 Correlation
The
Meaning of Correlation
The
Characteristics of Correlation
Correlation
Is Not Causation
The
Pearson Correlation Coefficient
Calculating
the Pearson Correlation Coefficient
Hypothesis
Testing with the Pearson Correlation Coefficient
Correlation,
Causation, and Big Data
Review of
Concepts
SPSS
How it
Works
Exercises
Terms
CHAPTER 14 Regression
Simple
Linear Regression
Prediction
Versus Relation
Regression
with z Scores
Determining
the Regression Equation
The
Standardized Regression Coefficient and Hypothesis Testing with Regression
Interpretation
and Prediction
Regression
and Error
Applying
the Lessons of Correlation to Regression
Regression
to the Mean
Multiple
Regression
Understanding
the Equation
Multiple
Regression in Everyday Life
Ethical
Landmines in Predicting Individual Behavior
Review of
Concepts
SPSS
How it
Works
Exercises
Terms
CHAPTER 15 Chi-Square Tests
Nonparametric
Statistics
An Example
of a Nonparametric Test
When to
Use Nonparametric Tests
Chi-Square
Tests
Chi-Square
Test for Goodness of Fit
Chi-Square
Test for Independence
Adjusted
Standardized Residuals
Beyond
Hypothesis Testing
Cramér’s
V, the Effect Size for Chi Square
Graphing
Chi-Square Percentages
Relative
Risk
Review of
Concepts
SPSS
How it
Works
Exercises
Terms
CHAPTER 16 Choosing and Reporting
Statistics
Choosing
the Right Statistical Test
Category
1: Two Scale Variables
Category
2: Nominal Independent Variable(s) and a Scale Dependent Variable
Category
3: Only Nominal Variables
Reporting
Statistics
Overview
of Reporting Statistics
Justifying
the Study
Reporting
the Traditional and the New Statistics
Open Data
Practices
Review of
Concepts
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