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Statistics in a Nutshell. A Desktop Quick Reference. 2nd Edition - Helion

Statistics in a Nutshell. A Desktop Quick Reference. 2nd Edition
ebook
Autor: Sarah Boslaugh
ISBN: 978-14-493-6114-3
stron: 594, Format: ebook
Data wydania: 2012-11-10
Księgarnia: Helion

Cena książki: 118,15 zł (poprzednio: 137,38 zł)
Oszczędzasz: 14% (-19,23 zł)

Dodaj do koszyka Statistics in a Nutshell. A Desktop Quick Reference. 2nd Edition

Tagi: Matematyka | Matematyka Europejczyka

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 easy-to-follow descriptions, along with graphics, formulas, solved examples, and hands-on 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 t-test, the chi-square and Fisher’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

Dodaj do koszyka Statistics in a Nutshell. A Desktop Quick Reference. 2nd Edition

 

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Dodaj do koszyka Statistics in a Nutshell. A Desktop Quick Reference. 2nd Edition

Spis treści

Statistics in a Nutshell. A Desktop Quick Reference. 2nd Edition eBook -- spis treści

  • Statistics in a Nutshell
  • Preface
    • OK, Just What Is Statistics?
    • The Focus of This Book
    • Statistics in the Age of Information
    • Organization of This Book
    • Conventions Used in This Book
    • Using Code Examples
    • Safari Books Online
    • How to Contact Us
    • Acknowledgments
  • 1. Basic Concepts of Measurement
    • Measurement
    • Levels of Measurement
      • Nominal Data
      • Ordinal Data
      • Interval Data
      • Ratio Data
      • Continuous and Discrete Data
      • Operationalization
      • Proxy Measurement
    • True and Error Scores
      • Random and Systematic Error
    • Reliability and Validity
      • Reliability
      • Validity
      • Triangulation
    • Measurement Bias
      • Bias in Sample Selection and Retention
      • Information Bias
    • Exercises
  • 2. Probability
    • About Formulas
    • Basic Definitions
      • Trials
      • Sample Space
      • Events
      • Union
      • Intersection
      • Complement
      • Mutual Exclusivity
      • Independence
      • Permutations
      • Combinations
    • Defining Probability
      • Expressing the Probability of an Event
      • Conditional Probabilities
      • Calculating the Probability of Multiple Events
        • Union of mutually exclusive events
        • Union of events that are not mutually exclusive
        • Intersection of independent events
        • Intersection of nonindependent events
    • Bayes Theorem
    • Enough Exposition, Lets Do Some Statistics!
      • Dice, Coins, and Playing Cards
    • Exercises
      • Closing Note: The Connection between Statistics and Gambling
  • 3. Inferential Statistics
    • Probability Distributions
      • The Normal Distribution
      • The Binomial Distribution
    • Independent and Dependent Variables
    • Populations and Samples
      • Nonprobability Sampling
      • Probability Sampling
    • The Central Limit Theorem
    • Hypothesis Testing
    • Confidence Intervals
    • p-values
    • The Z-Statistic
    • Data Transformations
    • Exercises
  • 4. Descriptive Statistics and Graphic Displays
    • Populations and Samples
    • Measures of Central Tendency
      • The Mean
      • The Median
      • The Mode
      • Comparing the Mean, Median, and Mode
    • Measures of Dispersion
      • The Range and Interquartile Range
      • The Variance and Standard Deviation
    • Outliers
    • Graphic Methods
      • Frequency Tables
    • Bar Charts
      • Pie Charts
      • Pareto Charts
      • The Stem-and-Leaf Plot
      • The Boxplot
      • The Histogram
    • Bivariate Charts
      • Scatterplots
      • Line Graphs
    • Exercises
  • 5. Categorical Data
    • The R×C Table
      • Measures of Agreement
    • The Chi-Square Distribution
    • The Chi-Square Test
    • Fishers Exact Test
    • McNemars Test for Matched Pairs
    • Proportions: The Large Sample Case
    • Correlation Statistics for Categorical Data
      • Binary Variables
      • The Point-Biserial Correlation Coefficient
      • Ordinal Variables
    • The Likert and Semantic Differential Scales
    • Exercises
  • 6. The t-Test
    • The t Distribution
    • The One-Sample t-Test
      • Confidence Interval for the One-Sample t-Test
    • The Independent Samples t-Test
      • Confidence Interval for the Independent Samples t-Test
    • Repeated Measures t-Test
      • Confidence Interval for the Repeated Measures t-Test
    • Unequal Variance t-Test
    • Exercises
  • 7. The Pearson Correlation Coefficient
    • Association
    • Scatterplots
      • Relationships Between Continuous Variables
    • The Pearson Correlation Coefficient
      • Testing Statistical Significance for the Pearson Correlation
    • The Coefficient of Determination
    • Exercises
  • 8. Introduction to Regression and ANOVA
    • The General Linear Model
    • Linear Regression
      • Assumptions
    • Analysis of Variance (ANOVA)
      • One-Way ANOVA
      • Post Hoc Tests
    • Calculating Simple Regression by Hand
    • Exercises
      • Regression
      • ANOVA
  • 9. Factorial ANOVA and ANCOVA
    • Factorial ANOVA
      • Interaction
      • Two-Way ANOVA
      • Three-Way ANOVA
    • ANCOVA
    • Exercises
  • 10. Multiple Linear Regression
    • Multiple Regression Models
      • Dummy Variables
      • Methods for Building Regression Models
        • Forward entry
        • Backward removal
    • Exercises
      • Example 1
      • Example 2
  • 11. Logistic, Multinomial, and Polynomial Regression
    • Logistic Regression
      • Converting Logits to Probabilities
    • Multinomial Logistic Regression
    • Polynomial Regression
    • Overfitting
    • Exercises
  • 12. Factor Analysis, Cluster Analysis, and Discriminant Function Analysis
    • Factor Analysis
    • Cluster Analysis
    • Discriminant Function Analysis
    • Exercises
  • 13. Nonparametric Statistics
    • Between-Subjects Designs
      • The Wilcoxon Rank Sum Test
      • The Sign Test
      • The Median Test
      • Kruskal-Wallis H Test
    • Within-Subjects Designs
      • Wilcoxon Signed Ranks Test
      • Friedman Test
    • Exercises
  • 14. Business and Quality Improvement Statistics
    • Index Numbers
    • Time Series
    • Decision Analysis
      • Minimax, Maximax, and Maximin
      • Decision Making under Risk
      • Decision Trees
    • Quality Improvement
      • Run Charts and Control Charts
    • Exercises
  • 15. Medical and Epidemiological Statistics
    • Measures of Disease Frequency
    • Ratio, Proportion, and Rate
    • Prevalence and Incidence
    • Crude, Category-Specific, and Standardized Rates
    • The Risk Ratio
      • Attributable Risk, Attributable Risk Percentage, and Number Needed to Treat
    • The Odds Ratio
    • Confounding, Stratified Analysis, and the Mantel-Haenszel Common Odds Ratio
    • Power Analysis
    • Sample Size Calculations
      • Confidence Interval for a Proportion
      • Power for the Test of the Difference between Two Sample Means (Independent Samples t-Test)
    • Exercises
  • 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
      • Split-Half Methods
      • Coefficient Alpha
    • Item Analysis
    • Item Response Theory
    • Exercises
  • 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
  • 18. Research Design
    • Basic Vocabulary
    • Observational Studies
    • Quasi-Experimental Studies
    • Experimental Studies
      • Ingredients of a Good Design
    • Gathering Experimental Data
      • Identifying Experimental Units
      • Identifying Treatments and Controls
      • Specifying Treatment Levels
      • Specifying Response Variables
      • Blinding
      • Retrospective Adjustment
      • Blocking and the Latin Square
    • Example Experimental Design
  • 19. Communicating with Statistics
    • General Notes
      • Writing for a Professional Journal
      • Writing the Article
      • The Peer Review Process
      • Writing for the General Public
      • Writing for Your Workplace
  • 20. Critiquing Statistics Presented by Others
    • Evaluating the Whole Article
    • The Misuse of Statistics
    • Common Problems
    • Quick Checklist
    • Issues in Research Design
      • Variation
      • Population
      • Sampling
      • Controls
      • The Power of Coincidence
    • Descriptive Statistics
      • Measures of Central Tendency
      • Standard Error and Confidence Intervals
      • Graphical Presentation of Data
      • Extrapolation and Trends
    • Inferential Statistics
      • Assumptions of Statistical Tests
        • t-tests
        • ANOVA
        • Linear regression
  • A. Review of Basic Mathematics
    • Laws of Arithmetic
      • Order of Operations
    • Properties of Real Numbers
    • Exponents and Roots
      • Properties of Roots
    • Solving Equations
    • Systems of Equations
    • Graphing Equations
    • Linear Inequalities
    • Fractions
    • Factorials, Permutations, and Combinations
    • Exercises
      • Laws of Arithmetic and Real Numbers
      • Exponents, Roots, and Logarithms
      • Natural Logarithms
      • Solving Equations for x
      • Systems of Linear Equations
      • Linear Equations and Cartesian Coordinates
      • Linear Inequalities
      • Fractions, Decimals, and Percents
      • Factorials, Permutations, and Combinations
    • Answers
      • Laws of Arithmetic and Real Numbers
      • Exponents and Roots
      • Logarithms
      • Solving Equations for x
      • Solving Systems of Linear Equations
      • Linear Equations and Cartesian Coordinates
      • Linear Inequalities
      • Fractions, Decimals, and Percents
      • Factorials, Permutations, and Combinations
  • B. Introduction to Statistical Packages
    • Minitab
    • SPSS
    • SAS
    • R
    • Microsoft Excel
  • C. 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
  • D. Probability Tables for Common Distributions
    • The Standard Normal Distribution
    • The t-Distribution
    • The Binomial Distribution
    • The Chi-Square Distribution
  • E. Online Resources
    • General Resources
    • Glossaries
    • Probability Tables
    • Online Calculators
    • Online Textbooks
  • F. Glossary of Statistical Terms
  • Index
  • About the Author
  • Colophon
  • Copyright

Dodaj do koszyka Statistics in a Nutshell. A Desktop Quick Reference. 2nd Edition

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