Basic Statistics Tales of Distributions

ISBN-10: 0495383937
ISBN-13: 9780495383932
Edition: 9th 2008 (Revised)
Authors: Chris Spatz
List price: $194.95
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Description: Learn statistical reasoning and problem solving from a best--selling author who uses a wealth of examples from the social and behavioral sciences,, education,, nursing/allied health,, and business fields----as well as examples from everyday life?-to  More...

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Book details

List price: $194.95
Edition: 9th
Copyright year: 2008
Publisher: Wadsworth
Publication date: 5/16/2007
Binding: Hardcover
Pages: 496
Size: 7.50" wide x 9.25" long x 1.00" tall
Weight: 2.046
Language: English

Learn statistical reasoning and problem solving from a best--selling author who uses a wealth of examples from the social and behavioral sciences,, education,, nursing/allied health,, and business fields----as well as examples from everyday life?-to help you learn and understand.. Praised for his clear explanations,, Spatz shows you how to start with a data set,, identify the questions it poses,, determine and carry out statistical procedures,, and using plain English,, tell the story the data reveal.

Preface
Introduction
What Do You Mean, "Statistics"?
Clue to the future
What's in It for Me?
Some Terminology
Problems and Answers
Scales of Measurement
Statistics and Experimental Design
Experimental Design Variables
Statistics and Philosophy
Statistics: Then and Now
Helpful Features of This Book
Concluding Thoughts for This Introductory Chapter
Additional Help for Chapter 1
Key Terms
Transition passage to descriptive statistics
Frequency Distributions and Graphs
Simple Frequency Distributions
Error detection
Grouped Frequency Distributions
Graphs of Frequency Distributions
Describing Distributions
The Line Graph
More on Graphics
A Moment to Reflect
Additional Help for Chapter 2
Key Terms
Central Tendency and Variability
Measures of Central Tendency
Finding Central Tendency of Simple Frequency Distributions
Error detection
Error detection
When to Use the Mean, Median, and Mode
Determining Skewness from the Mean and Median
The Weighted Mean
Variability
The Range
Interquartile Range
The Standard Deviation
The Standard Deviation as a Descriptive Index of Variabiiity
Error detection
Error detection
Error detection
S as an Estimate of [sigma]
Error detection
Clue to the future
The Variance
Clue to the future
Estimating Answers
Additional Help for Chapter 3
Key Terms
Other Descriptive Statistics
Using z Scores to Describe Individuals
Clue to the future
Boxplots
Error detection
Effect Size Index
The Descriptive Statistics Report
Additional Help for Chapter 4
Key Terms
Transition passage to bivariate distributions
Correlation and Regression
Bivariate Distributions
Positive Correlation
Negative Correlation
Zero Correlation
Clue to the future
The Correlation Coefficient
Error detection
Clue to the future
Error detection
Scatterplots
Interpretations of r
Uses of r
Strong Relationships but Low Correlations
Error detection
Other Kinds of Correlation Coefficients
Linear Regression
Making Predictions from a Linear Equation
The Regression Equation-A Line of Best Fit
Error detection
Additional Help for Chapter 5
Key Terms
What Would You Recommend? Chapters 1-5
Transition passage to inferential statistics
Theoretical Distributions Including the Normal Distribution
Probability
A Rectangular Distribution
Clue to the future
A Binomial Distribution
Comparison of Theoretical and Empirical Distributions
The Normal Distribution
Error detection
Clue to the future
Comparison of Theoretical and Empirical Answers
Other Theoretical Distributions
Additional Help for Chapter 6
Key Terms
Samples, Sampling Distributions, and Confidence Intervals
Random Samples
Biased Samples
Research Samples
Sampling Distributions
Clue to the future
The Sampling Distribution of the Mean
Central Limit Theorem
Constructing a Sampling Distribution When [sigma] Is Not Available
The t Distribution
Confidence Interval about a Sample Mean
Clue to the future
Error detection
Categories of Inferential Statistics
Additional Help for Chapter 7
Key Terms
Transition passage to hypothesis testing
Hypothesis Testing and Effect Size: One-Sample Designs
The Logic of Null Hypothesis Statistical Testing (NHST)
Clue to the future
Using the t Distribution for Null Hypothesis Statistical Testing
A Problem and the Accepted Solution
The One-Sample t Test
An Analysis of Possible Mistakes
The Meaning of p in p < .05
One-Tailed and Two-Tailed Tests
Effect Size Index
Other Sampling Distributions
Using the t Distribution to Test the Significance of a Correlation Coefficient
Clue to the future
Why .05?
Additional Help for Chapter 8
Key Terms
Hypothesis Testing, Effect Size, and Confidence Intervals: Two-Sample Designs
A Short Lesson on How to Design an Experiment
NHST: The Two-Sample Example
Degrees of Freedom
Paired-Samples Designs and Independent-Samples Designs
Clue to the future
The t Test for Independent-Samples Designs
Clue to the future
The t Test for Paired-Samples Designs
Error detection
Significant Results and Important Results
Effect Size Index
Establishing a Confidence Interval about a Mean Difference
Error detection
Reaching Correct Conclusions
Statistical Power
Additional Help for Chapter 9
Key Terms
What Would You Recommend? Chapters 6-9
Transition passage to more complex designs
Analysis of Variance: One-Way Classification
Rationale of ANOVA
More New Terms
Clue to the future
Sums of Squares
Error detection
Mean Squares and Degrees of Freedom
Error detection
Calculation and Interpretation of F Values Using the F Distribution
Schedules of Reinforcement-A Lesson in Persistence
Comparisons among Means
Assumptions of the Analysis of Variance
Effect Size Index
Additional Help for Chapter 10
Key Terms
Analysis of Variance: One-Factor Repeated Measures
A Data Set
One-Factor Repeated-Measures ANOVA: The Rationale
An Example Problem
Tukey HSD Tests
Type I and Type II Errors
Some Behind-the-Scenes Information about Repeated-Measures ANOVA
Additional Help for Chapter 11
Key Terms
Analysis of Variance: Factorial Design
Factorial Design
Main Effects and Interaction
Clue to the future
A Simple Example of a Factorial Design
Error detection
Error detection
Error detection
Analysis of a 2 X 3 Design
Comparing Levels within a Factor-Tukey HSD Tests
Effect Size Indexes for Factorial ANOVA
Restrictions and Limitations
Additional Help for Chapter 12
Key Terms
Transition passage to nonparametric statistics
CHI Square Tests
Error detection
The Chi Square Distribution and the Chi Square Test
Chi Square as a Test of Independence
Error detection
Shortcut for Any 2 X 2 Table
Effect Size Index for 2 X 2 Chi Square Data
Chi Square as a Test for Goodness of Fit
Chi Square with More Than One Degree of Freedom
Small Expected Frequencies
When You May Use Chi Square
Error detection
Additional Help for Chapter 13
Key Terms
More Nonparametric Tests
The Rationale of Nonparametric Tests
Comparison of Nonparametric to Parametric Tests
Clue to the future
The Mann-Whitney U Test
Error detection
Error detection
Error detection
The Wilcoxon Matched-Pairs Signed-Ranks T Test
The Wilcoxon-Wilcox Multiple-Comparisons Test
Correlation of Ranked Data
Error detection
My Final Word
Additional Help for Chapter 14
Key Terms
What Would You Recommend? Chapters 10-14
Choosing Tests and Writing Interpretations
A Review
Future Steps
Choosing Tests and Writing Interpretations
Additional Help for Chapter 15
Key Terms
Appendixes
Arithmetic and Algebra Review
Grouped Frequency Distributions and Central Tendency
Tables
Glossary of Words
Glossary of Symbols
Glossary of Formulas
Answers to Problems
References
Index

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