Publisher: O'Reilly Media
Final Release Date: November 2012
Pages: 594
Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college texts.
Each chapter presents easytofollow descriptions, along with graphics, formulas, solved examples, and handson exercises. If you want to perform common statistical analyses and learn a wide range of techniques without getting in over your head, this is your book.
 Learn basic concepts of measurement and probability theory, data management, and research design
 Discover basic statistical procedures, including correlation, the ttest, the chisquare and Fisherâ€™s exact tests, and techniques for analyzing nonparametric data
 Learn advanced techniques based on the general linear model, including ANOVA, ANCOVA, multiple linear regression, and logistic regression
 Use and interpret statistics for business and quality improvement, medical and public health, and education and psychology
 Communicate with statistics and critique statistical information presented by others


Chapter 1 Basic Concepts of Measurement 
Measurement 
Levels of Measurement 
True and Error Scores 
Reliability and Validity 
Measurement Bias 
Exercises 
Chapter 2 Probability 
About Formulas 
Basic Definitions 
Defining Probability 
Bayesâ€™ Theorem 
Enough Exposition, Letâ€™s Do Some Statistics! 
Exercises 
Chapter 3 Inferential Statistics 
Probability Distributions 
Independent and Dependent Variables 
Populations and Samples 
The Central Limit Theorem 
Hypothesis Testing 
Confidence Intervals 
pvalues 
The ZStatistic 
Data Transformations 
Exercises 
Chapter 4 Descriptive Statistics and Graphic Displays 
Populations and Samples 
Measures of Central Tendency 
Measures of Dispersion 
Outliers 
Graphic Methods 
Bar Charts 
Bivariate Charts 
Exercises 
Chapter 5 Categorical Data 
The RÃ—C Table 
The ChiSquare Distribution 
The ChiSquare Test 
Fisherâ€™s Exact Test 
McNemarâ€™s Test for Matched Pairs 
Proportions: The Large Sample Case 
Correlation Statistics for Categorical Data 
The Likert and Semantic Differential Scales 
Exercises 
Chapter 6 The tTest 
The t Distribution 
The OneSample tTest 
The Independent Samples tTest 
Repeated Measures tTest 
Unequal Variance tTest 
Exercises 
Chapter 7 The Pearson Correlation Coefficient 
Association 
Scatterplots 
The Pearson Correlation Coefficient 
The Coefficient of Determination 
Exercises 
Chapter 8 Introduction to Regression and ANOVA 
The General Linear Model 
Linear Regression 
Analysis of Variance (ANOVA) 
Calculating Simple Regression by Hand 
Exercises 
Chapter 9 Factorial ANOVA and ANCOVA 
Factorial ANOVA 
ANCOVA 
Exercises 
Chapter 10 Multiple Linear Regression 
Multiple Regression Models 
Exercises 
Chapter 11 Logistic, Multinomial, and Polynomial Regression 
Logistic Regression 
Multinomial Logistic Regression 
Polynomial Regression 
Overfitting 
Exercises 
Chapter 12 Factor Analysis, Cluster Analysis, and Discriminant Function Analysis 
Factor Analysis 
Cluster Analysis 
Discriminant Function Analysis 
Exercises 
Chapter 13 Nonparametric Statistics 
BetweenSubjects Designs 
WithinSubjects Designs 
Exercises 
Chapter 14 Business and Quality Improvement Statistics 
Index Numbers 
Time Series 
Decision Analysis 
Quality Improvement 
Exercises 
Chapter 15 Medical and Epidemiological Statistics 
Measures of Disease Frequency 
Ratio, Proportion, and Rate 
Prevalence and Incidence 
Crude, CategorySpecific, and Standardized Rates 
The Risk Ratio 
The Odds Ratio 
Confounding, Stratified Analysis, and the MantelHaenszel Common Odds Ratio 
Power Analysis 
Sample Size Calculations 
Exercises 
Chapter 16 Educational and Psychological Statistics 
Percentiles 
Standardized Scores 
Test Construction 
Classical Test Theory: The True Score Model 
Reliability of a Composite Test 
Measures of Internal Consistency 
Item Analysis 
Item Response Theory 
Exercises 
Chapter 17 Data Management 
An Approach, Not a Set of Recipes 
The Chain of Command 
Codebooks 
The Rectangular Data File 
Spreadsheets and Relational Databases 
Inspecting a New Data File 
String and Numeric Data 
Missing Data 
Chapter 18 Research Design 
Basic Vocabulary 
Observational Studies 
QuasiExperimental Studies 
Experimental Studies 
Gathering Experimental Data 
Example Experimental Design 
Chapter 19 Communicating with Statistics 
General Notes 
Chapter 20 Critiquing Statistics Presented by Others 
Evaluating the Whole Article 
The Misuse of Statistics 
Common Problems 
Quick Checklist 
Issues in Research Design 
Descriptive Statistics 
Inferential Statistics 
Appendix Review of Basic Mathematics 
Laws of Arithmetic 
Properties of Real Numbers 
Exponents and Roots 
Solving Equations 
Systems of Equations 
Graphing Equations 
Linear Inequalities 
Fractions 
Factorials, Permutations, and Combinations 
Exercises 
Answers 
Appendix Introduction to Statistical Packages 
Minitab 
SPSS 
SAS 
R 
Microsoft Excel 
Appendix References 
Preface and General Sources 
Chapter 1 
Chapter 2 
Chapter 3 
Chapter 4 
Chapter 5 
Chapter 6 
Chapter 7 
Chapter 8 
Chapter 9 
Chapter 10 
Chapter 11 
Chapter 12 
Chapter 13 
Chapter 14 
Chapter 15 
Chapter 16 
Chapter 17 
Chapter 18 
Chapter 19 
Chapter 20 
Appendix Probability Tables for Common Distributions 
The Standard Normal Distribution 
The tDistribution 
The Binomial Distribution 
The ChiSquare Distribution 
Appendix Online Resources 
General Resources 
Glossaries 
Probability Tables 
Online Calculators 
Online Textbooks 
Appendix Glossary of Statistical Terms 
Colophon 
 Title:
 Statistics in a Nutshell, 2nd Edition
 By:
 Sarah Boslaugh
 Publisher:
 O'Reilly Media
 Formats:

 Print
 Ebook
 Safari Books Online
 Print:
 November 2012
 Ebook:
 November 2012
 Pages:
 594
 Print ISBN:
 9781449316822
  ISBN 10:
 1449316824
 Ebook ISBN:
 9781449316921
  ISBN 10:
 1449316921


Sarah Boslaugh Sarah Boslaugh holds a PhD in Research and Evaluation from the City University of New York and have been working as a statistical analyst for 15 years, in a variety of professional settings, including the New York City Board of Education, the Institutional Research Office of the City University of New York, Montefiore Medical Center, the Virginia Department of Social Services, Magellan Health Services, Washington University School of Medicine, and BJC HealthCare. She has taught statistics in several different contexts and currently teaches Intermediate Statistics at Washington University Medical School. She has published two previous books: An Intermediate Guide to SPSS Programming: Using Syntax for Data Management (SAGE Publications, 2004) and Secondary Data Sources for Public Health (forthcoming from Cambridge U. Press, 2007) and am currently editing the Encyclopedia of Epidemiology for SAGE Publications (forthcoming, 2007). View Sarah Boslaugh's full profile page. 
Colophon The animal on the cover of Statistics in aNutshell is a thornback crab, also known as a spiny spider crab(Maja squinado, Majabrachydactyla). Found in the northeast Atlantic Ocean and theMediterranean Sea, the thornback crab is the largest of the European crabs,with a carapace diameter of two to seven inches. It is easily identifiableby the two hornlike spikes between its eyes, and the six or so smallerspikes that extend from each side of its shell. The thornbackâ€™s body isreddish with pink, brown, or yellow markings, and its surface is alsocovered with small spikes, as the crab's name implies. Thornback crabs are occasionally found on the shore, but they preferdepths of 90 to 600 feet. They are solitary animals except during matingseason, when they form large breeding mounds. In years when their numbersare particularly abundant, they can be a source of frustration for lobsterfisherman as they infest the lobster pots. Thornbacks are themselves fishedfor their delicious claw meat. Male thornbacks are effective predators; their delicatelooking clawsare actually quite powerful and can open small mussels to feed on them.Their claws are also doublejointed, so although it is generally safe for aperson to hold crustaceans by each side of their shells, thornbacks are ableto reach over their backs to pinch the offender. Females have smaller, lessflexible claws and are thus more vulnerable to attack. To defend againsttheir predatorsâ€”which include lobsters, wrasses, and cuttlefishâ€”many speciesof spider crabs decorate their spiny shells with seaweed, sponges, oraquatic debris to better blend in against the seabed. The cover image is from Lydekkerâ€™s Library of NaturalHistory. 
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