Statistics for people who (think they) hate statistics, Neil J. Salkind
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The instance Statistics for people who (think they) hate statistics, Neil J. Salkind represents a material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
The Resource
Statistics for people who (think they) hate statistics, Neil J. Salkind
Resource Information
The instance Statistics for people who (think they) hate statistics, Neil J. Salkind represents a material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
- Label
- Statistics for people who (think they) hate statistics, Neil J. Salkind
- Statement of responsibility
- Neil J. Salkind
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Part I. Yippee! I'm in Statistics -- Chapter 1. Statistics or Sadistics? It's Up to You -- Part II. Sigma Freud and Descriptive Statistics -- Chapter 2. Means to an End: Computing and Understanding Averages -- Chapter 3. Vive la Difference: Understanding Variability -- Chapter 4. A Picture Really Is Worth a Thousand Words -- Chapter 5. Ice Cream and Crime: Computing Correlation Coefficients -- Chapter 6. Just the Truth: An Introduction to Understanding Reliability and Validity -- Part III. Taking Chances for Fun and Profit -- Chapter 7. Hypotheticals and You: Testing Your Questions -- Chapter 8. Are Your Curves Normal? Probability and Why It Counts -- Part IV. Significantly Different: Using Inferential Statistics -- Chapter 9. Significantly Significant: What It Means for You and Me -- Chapter 10. Only The Lonely: The One Sample Z test -- Chapter 11. t(ea) for Two: Tests Between the Means of Different Groups -- Chapter 12. t(ea) for Two (Again): Tests Between the Means of Related Groups -- Chapter 13. Two Groups Too Many? Try Analysis of Variance -- Chapter 14. Two Too Many Factors: Factorial Analysis of Variance -- Chapter 15. Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient -- Chapter 16. Predicting Who'll Win the Super Bowl: Using Linear Regression -- Chapter 17. What to Do When You're Not Normal: Chi-Square and Some Other Nonparametric Tests -- Chapter 18. Some Other (Important) Statistical Procedures You Should Know About -- Chapter 19. A Statistical Software Sampler -- Part V. Ten Things You'll Want to Know and Remember -- Chapter 20. The Ten (or More) Best Internet Sites for Statistics Stuff -- Chapter 21. The Ten Commandments of Data Collection
- Control code
- ocn649419056
- Dimensions
- 26 cm.
- Edition
- 4th ed.
- Extent
- xxiii, 442 p.
- Isbn
- 9781412979597
- Lccn
- 2010029241
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- ill.
- Record ID
- b2648594
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/resource/R77w0vz5-XE/" typeof="Book http://bibfra.me/vocab/lite/Instance"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/R77w0vz5-XE/">Statistics for people who (think they) hate statistics, Neil J. Salkind</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>