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# Basic Statistics Tales of Distributions

## Edition: 8th 2005 (Revised)

### Authors: Chris Spatz

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Chris Spatz's best-selling statistics text relies on examples from the social and behavioral sciences, education, nursing/allied health, and business fields--as well as examples from everyday life--to teach students statistical reasoning and problem solving. Praised for his clear explanations, Spatz shows students 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. A free CD packaged with the book provides objective questions and answers, additional problems and answers, and portals to websites with additional help.
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### Book details

List price: \$131.95
Edition: 8th
Copyright year: 2005
Publisher: Wadsworth
Publication date: 7/14/2004
Binding: Hardcover
Pages: 512
Size: 7.50" wide x 9.25" long x 1.00" tall
Weight: 2.046
Language: English

 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