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Comprehending Behavioral Statistics

ISBN-10: 053460627X
ISBN-13: 9780534606275
Edition: 4th 2006
List price: $259.95
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Description: An unbeatable combination that will appeal to any learning style! Packaged with the free Personal Trainer CD-ROM, COMPREHENDING BEHAVIORAL STATISTICS makes statistics appealing and approachable to students with a variety of learning styles and  More...

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Book details

List price: $259.95
Edition: 4th
Copyright year: 2006
Publisher: Wadsworth
Publication date: 6/17/2005
Binding: Hardcover
Pages: 592
Size: 8.00" wide x 9.25" long x 1.00" tall
Weight: 2.860
Language: English

An unbeatable combination that will appeal to any learning style! Packaged with the free Personal Trainer CD-ROM, COMPREHENDING BEHAVIORAL STATISTICS makes statistics appealing and approachable to students with a variety of learning styles and backgrounds. Students who learn best by READING find Hurlburt's explanations?which have been crafted and revised based on his own students' feedback?to be exceptionally clear. Students who learn better by LISTENING find the audio/visual "lectlets" on the accompanying Personal Trainer CD-ROM invaluable. Covering each topic in the text, the lectlets include interactive review questions with immediate feedback that engage students who learn best by INTERACTING. For VISUAL learners, the text includes more than 400 illustrations (twice as many as most texts), as well as Hurlburt's free ESTAT software on the accompanying CD-ROM. ESTAT is a unique program that allows students to practice the eyeball-estimation of basic concepts so that they can understand at a deeper level the statistics they are computing. Faculty appreciate the textbook's accuracy and focus on timely topics as well as its innovative pedagogy: Hurlburt uses a progressive, cumulative integration and review of concepts so students keep fundamental concepts "fresh" as they progress through the course.

Introduction
Inductive Statements
Statistical Reasoning
Rational Decision Making
A Classic Example: Pygmalion in the Classroom
Samples from Populations
Probability
A Note to the Student
Exercises for Chapter 1
On the Personal Trainer CD
Lectlet 1A: Introduction to Statistics
Lectlet 1B: Basic Concepts
Resource 1A: Probability Is a Measure of Uncertainty
Algebra: Review
QuizMaster 1A
Variables and Their Measurement
Levels of Measurement
Continuous and Discrete Variables
Real Limits
Significant Figures
Rounding
Summation
Notation
Computations
Connections
Cumulative Review
Computers
Homework Tips
Exercises for Chapter 2
On the Personal Trainer CD
Lectlet 2A: Variables and Their Measurement
Resource 2X: Additional Exercises
ESTAT datagen: Statistical Computational Package and Data Generator
Algebra: Summation
QuizMaster 2A
Frequency Distributions
Distributions as Tables
Distributions as Graphs
Histogram
Frequency Polygon
Eyeball-estimation
The Shape of Distributions
Describing Distributions
The Normal Distribution
Eyeball-calibration
Bar Graphs of Nominal and Ordinal Variables
Connections
Cumulative Review
Computers
Homework Tips
Exercises for Chapter 3
On the Personal Trainer CD
Lectlet 3A: Summary Distributions as Tables
Lectlet 3B: Summary Distributions as Graphs
Resource 3A: Stem and Leaf Displays
Resource 3X: Additional Exercises
QuizMaster 3A
Measures of Central Tendency
Mode
Eyeball-estimating the Mode
Determining the Mode
Median
Eyeball-estimating the Median
Computing the Median
Mean
Eyeball-estimating the Mean
Computing the Sample Mean
Comparing the Mode, Median, and Mean
Computing the Population Mean
Connections
Cumulative Review
Journals
Computers
Homework Tips
Exercises for Chapter 4
On the Personal Trainer CD
Lectlet 4A: Measures of Central Tendency
Lectlet 4B: Computing and Eyeball-estimating the Mean
Resource 4A: The Linear Method for Computing the Median
Resource 4B: Computing the Mean from a Frequency Distribution
Resource 4X: Additional Exercises
ESTAT meanest: Eyeball-estimating the Mean from a Histogram
ESTAT meannum: Eyeball-estimating the Mean from a Table
ESTAT datagen: Statistical Computational Package and Data Generator
QuizMaster 4A
Measures of Variation
Range
Standard Deviation
Mean Squared Deviation Formulas
Inflection Points of Normal Distributions
Eyeball-estimation
Computing the Standard Deviation
Variance
Eyeball-calibration for Distributions
Connections
Cumulative Review
Journals
Computers
Homework Tips
Exercises for Chapter 5
On the Personal Trainer CD
Lectlet 5A: Measures of Variation
Lectlet 5B: Computing and Eyeball-estimating the Standard Deviation
Resource 5A: The Mean Deviation and the Average Absolute Deviation
Resource 5B: Computational Formulas for the Standard Deviation and Variance
Resource 5C: Computing the Standard Deviation from a Frequency Distribution
Resource 5X: Additional Exercises
ESTAT sdest: Eyeball-estimating the Standard Deviation from a Histogram
ESTAT sdnum: Eyeball-estimating the Standard Deviation from a Table
ESTAT datagen: Statistical Computational Package and Data Generator
QuizMaster 5A
Using Frequency Distributions
Points in Distributions
Percentiles and Percentile Rank
Standard Scores (z Scores)
Areas Under Distributions
Using Areas Under Distributions
Areas Under Normal Distributions
Eyeball-estimation
Eyeball-calibration
Calculating Areas
Other Standardized Distributions Based on z Scores
Relative Frequencies of Real-World Normal Variables
Percentiles and Percentile Rank in Normal Distributions
Connections
Cumulative Review
Computers
Homework Tips
Exercises for Chapter 6
On the Personal Trainer CD
Lectlet 6A: Areas Under Distributions
Lectlet 6B: Areas Under Normal Distributions
Resource 6A: Interpolation
Resource 6B: Equation of the Normal Distribution
Resource 6X: Additional Exercises
ESTAT normal: Eyeball-estimating Areas Under the Normal Distribution
ESTAT datagen: Statistical Computational Package and Data Generator
QuizMaster 6A
Samples and the Sampling Distribution of the Means
Random Samples
Simple Random Sampling
Samples from Populations
The Sampling Distribution of the Means
The Central Limit Theorem
Factors That Affect the Magnitude of [sigma subscript x]: n and [sigma]
Using the Sampling Distribution of the Means
Connections
Cumulative Review
Computers
Homework Tips
Exercises for Chapter 7
On the Personal Trainer CD
Lectlet 7A: Samples from Populations and the Distribution of Means
Lectlet 7B: The Central Limit Theorem
Lectlet 7C: The Standard Error of the Mean
Resource 7X: Additional Exercises
ESTAT mdist: Tutorial-The Distribution of Means and How n Affects It
ESTAT datagen: Statistical Computational Package and Data Generator
QuizMaster 7A
Parameter Estimation
Point-estimation
Distribution of Sample Means
Confidence Intervals
When [sigma] Is Known
Changing the Level of Confidence
When [sigma] Is Unknown
Opinion Polls
Four Factors That Affect the Width of a Confidence Interval
Connections
Cumulative Review
Journals
Computers
Homework Tips
Exercises for Chapter 8
On the Personal Trainer CD
Lectlet 8A: Confidence Intervals
Lectlet 8B: Computing Confidence Intervals
Lectlet 8C: Confidence Intervals II
Resource 8A: Unbiased Estimators and the Denominator of the Standard Deviation
Resource 8B: Degrees of Freedom in the Computation of a Standard Deviation or Variance
Resource 8C: Opinion Polls: Using the Confidence Interval for a Proportion
Resource 8X: Additional Exercises
ESTAT confide: Eyeball-estimating Confidence Intervals
ESTAT datagen: Statistical Computational Package and Data Generator
QuizMaster 8A
Evaluating Hypotheses
Descriptive Versus Inferential Statistics
Descriptive Statistics
Inferential Statistics
Evaluating Hypotheses
Null and Alternative Hypotheses
Directional (One-tailed) and Nondirectional (Two-tailed) Hypotheses
Type I and Type II Errors
Level of Significance ([alpha])
Statistical Power
The Courtroom Analogy
Practical Significance
The Procedure for Evaluating Hypotheses
Connections
Cumulative Review
Computers
Journals
Homework Tips
Exercises for Chapter 9
On the Personal Trainer CD
Lectlet 9A: Inferential Statistics
Lectlet 9B: The Procedure for Evaluating Hypotheses
Resource 9A: Why Statistical Significance Testing Alone Is Not Enough
QuizMaster 9A
Inferences About Means of Single Samples
Evaluating Hypotheses About Means
When [sigma] Is Known
A Directional (One-tailed) Example
Practical Significance: Effect Size
When [sigma] Is Unknown
The Relationship Between Hypothesis Testing and Confidence Intervals
Statistical Significance is Not Necessarily Practical Significance
One-sample + Test Eyeball-calibration
Connections
Cumulative Review
Journals
Computers
Homework Tips
Exercises for Chapter 10
On the Personal Trainer CD
Lectlet 10A: Inferences About Means of Single Samples: Illustrating the Null Hypothesis
Lectlet 10B: Inferences About Means of Single Samples: Completing the Evaluation
Lectlet 10C: Inferences About Means of Single Samples: When the Test is Directional or [sigma] is Unknown
Resource 10A: Eyeball-estimating One-sample + Tests
Resource 10X: Additional Exercises
ESTAT ttest 1: Eyeball-estimating One-sample + Tests
ESTAT datagen: Statistical Computational Package and Data Generator
QuizMaster 10A
Inferences About Means of Two Independent Samples
Hypotheses with Two Independent Samples
Dependent and Independent Variables
The Null Hypothesis
Experimental Outcomes
The Test Statistic
Standard Error of the Difference Between Two Means
Pooled Variance
Interpreting the Standard Error of the Difference Between Two Means
Evaluating Hypotheses About Means of Two Independent Samples
Procedure
A Directional (One-tailed) Example
Practical Significance Versus Statistical Significance Revisited
Two-sample + Test Eyeball-calibration
Connections
Cumulative Review
Journals
Computers
Homework Tips
Exercises for Chapter 11
On the Personal Trainer CD
Lectlet 11A: Hypothesis Evaluation with Two Independent Samples: The Test Statistic
Lectlet 11B: Hypothesis Evaluation with Two Independent Samples: The Standard Error of the Difference Between Two Means
Lectlet 11C: Hypothesis Evaluation with Two Independent Samples: Completing the Analysis
Resource 11A: Eyeball-estimating Two-independent-samples + Tests
Resource 11X: Additional Exercises
ESTAT diffm: Tutorial-The Distribution of Differences Between Means
ESTA ttest2: Eyeball-estimating Two-independent-samples + Tests
ESTAT datagen: Statistical Computational Package and Data Generator
QuizMaster 11A
Inferences About Means of Two Dependent Samples
Dependent-sample Tests
Evaluating Hypotheses About Means of Two Dependent Samples
An Example
Null Hypothesis
Test Statistic
Evaluating the Hypothesis
Comparing Dependent-and Independent-sample + Tests
Dependent-sample + Test Eyeball-calibration
Connections
Cumulative Review
Journals
Computers
Homework Tips
Exercises for Chapter 12
On the Personal Trainer CD
Lectlet 12A: Inferences About Two Dependent Samples
Resource 12A: Eyeball-estimating Dependent-sample + Tests
Resource 12X: Additional Exercises
ESTAT datagen: Statistical Computational Package and Data Generator
QuizMaster 12A
Statistical Power
Statistical Power
An Example
Illustrating Power
Factors That Increase Power
Increasing the Sample Size Increases Power
Increasing the Raw Effect Size Increases Power
Decreasing [sigma] Increases Power
Increasing [alpha] Increases Power
Changing from a Nondirectional to a Directional Test Increases Power
Using Power to Determine Sample Size
An Example
Connections
Cumulative Review
Journals
Homework Tips
Exercises for Chapter 13
On the Personal Trainer CD
Lectlet 13A: Statistical Power
Lectlet 13B: Consequences of Statistical Power
Resource 13X: Additional Exercises
ESTAT power: Eyeball-estimating Power from n, Effect Size, and Standard Deviation
QuizMaster 13A
Inferences About Two or More Means: Analysis of Variance
Why Multiple + Tests Are Not Appropriate
Hypotheses with Three or More Samples
Null Hypothesis
Alternative Hypothesis
Logic of Analysis of Variance
MS[subscript B]: Between-group oint-estimate of [sigma superscript 2]
MS[subscript W]: Within-group Point-estimate of [sigma superscript 2]
F Ratio
ANOVA is Nondirectional
Partitioning the Sum of Squares
Review of the Procedure
Another Example
ANOVA Eyeball-calibration
Number of Subjects Required for Adequate Power
Connections
Cumulative Review
Journals
Computers
Homework Tips
Exercises for Chapter 14
On the Personal Trainer CD
Lectlet 14A: Hypotheses with Three or More Groups
Lectlet 14B: Logic of the Analysis of Variance
Lectlet 14C: Computing the Analysis of Variance
Lectlet 14D: Interpreting the Analysis of Variance
Resource 14A: Computational Formulas for ANOVA
Resource 14B: Eyeball-estimating the Analysis of Variance
Resource 14X: Additional Exercises
ESTAT anova: Eyeball-estimating the Analysis of Variance
ESTAT datagen: Statistical Computational Package and Data Generator
QuizMaster 14A
Post Hoc Tests, A Priori Tests, Repeated-Measures ANOVA, and Two-way ANOVA
Interpreting ANOVA: Post Hoc Tests
Instead of ANOVA: A Priori Tests
A Priori Tests When There Are Two Groups
Comparisons
Repeated-Measures Analysis of Variance
Two-way Analysis of Variance
Displaying the Outcome of a Two-way Design
Main Effects
Interaction
Kinds of Interaction
Null Hypothesis for Interaction
Interpreting Two-way ANOVA
Connections
Cumulative Review
Journals
Computers
Homework Tips
Exercises for Chapter 15
On the Personal Trainer CD
Lectlet 15A: Post Hoc Tests and A Priori Tests
Lectlet 15B: Repeated-measures Analysis of Variance
Lectlet 15C: Two-way Analysis of Variance
Resource 15A: Comprehending and Computing Post Hoc Tests
Resource 15B: Comprehending and Computing A Priori Tests
Resource 15C: Comprehending and Computing Repeated-measures ANOVA
Resource 15D: Comprehending and Computing Two-way ANOVA
Resource 15X: Additional Exercises
QuizMaster 15A
Measures of the Relationship Between Two Variables: Correlation
Correlation Coefficient
Scatter Diagrams
Values of r
Pearson's r
z Score Formulas
How It Works
Factors That Affect the Size of r
Correlation Does Not Imply Causation
Testing Hypotheses About r
Power
Spearman's r[subscript S]
Ranking
Testing Hypotheses About r[subscript s]
Connections
Cumulative Review
Journals
Computers
Homework Tips
Exercises for Chapter 16
On the Personal Trainer CD
Lectlet 16A: Correlation
Lectlet 16B: Computing the Correlation Coefficient
Resource 16A: Computational Formulas for the Pearson Correlation Coefficient
Resource 16B: The Significance Test for r is Derived from the Test Statistic +
Resource 16X: Additional Exercises
ESTAT scatter: Eyeball-estimating the Correlation Coefficient from a Scatterplot
ESTAT datagen: Statistical Computational Package and Data Generator
QuizMaster 16A
Prediction: Linear Regression
Regression Lines
Notation
The Equation
Eyeball-estimating the Constants
Computing the Constants
Interpreting the Constants
Regression Line in Standard Form
Regression to the Mean
The Best (Least Squares) Regression Line
Error of Prediction
The Best Line
Standard Error of Estimate
Coefficient of Determination
Predicted Distribution
Interpreting Correlation and Regression
Connections
Cumulative Review
Journals
Computers
Homework Tips
Exercises for Chapter 17
On the Personal Trainer CD
Lectlet 17A: Linear Regression
Lectlet 17B: Computing the Regression Equation
Lectlet 17C: The Standard Error of Estimate
Resource 17A: Computational Formula for the Regression Line Slope
Resource 17B: What Causes Regression to the Mean?
Resource 17C: Partitioning the Regression Sum of Squares
Resource 17D: A Small Correlation Can Have Dramatic Impact
Resource 17X: Additional Exercises
ESTAT regtry: Eyeball-estimating the Regression Line
ESTAT corest: Prediction and Regression to the Mean
ESTAT datagen: Statistical Computational Package and Data Generator
QuizMaster 17A
Some Nonparametric Statistical Tests
Testing with a Nonnormal Distribution
Nonparametric Statistical Tests
Tests for Data Measured at the Nominal Level
One Sample: The X[superscript 2] Goodness of Fit Test
Two Independent Samples: The X[superscript 2] Test of Independence
Two Dependent Samples: The McNemar Test for Significance of Change
Tests for Data Measured at the Ordinal Level
Two Independent Samples: The Mann-Whitney U Test
Two Dependent Samples: The Wilcoxon Matched-pairs Signed-rank Test
k Independent Samples: The Kruskal-Wallis H Test
Choosing Between Parametric and Nonparametric Tests
Connections
Cumulative Review
Journals
Computers
Homework Tips
Exercises for Chapter 18
On the Personal Trainer CD
Lectlet 18A: Nonparametric Statistics: Chi-square
Lectlet 18B: Nonparametric Statistics Based on Order
Resource 18X: Additional Exercises

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