Statistics for people who (think they) hate statistics : Excel 2007 edition / Neil J. Salkind.
Material type:
TextPublication details: Los Angeles: SAGE Publications, 2009.Edition: 2nd edDescription: xxi, 399 p. : ill. ; 26 cmISBN: - 9781412971027 (pbk. : acid-free paper)
- 1412971020 (pbk. : acid-free paper)
- 519.5 22
- QA276.12.S2 2009
| Item type | Current library | Call number | Status | Barcode | |
|---|---|---|---|---|---|
Book
|
Meru University Open Shelves | QA276.12.S2 2009 (Browse shelf(Opens below)) | Available | 10-2565 | |
Book
|
Meru University Open Shelves | QA276.12.S2 2009 (Browse shelf(Opens below)) | Available | 10-2564 |
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| QA276.12.F7 1994 Statistics : | QA276.12.F7 1994 Statistics : | QA276.12.S2 2009 Statistics for people who (think they) hate statistics : | QA276.12.S2 2009 Statistics for people who (think they) hate statistics : | QA276.12.S7 2009 Quantitative analysis / | | | QA276.12.S7 2009 Quantitative analysis / | | | QA276.2.S65 1999 Schaum's outline of theory and problems of statistics |
This edition shows the students how to install the Excel Analysis ToolPak option (free) to earn access to a host of new and very useful analytical techniques.
Includes index.
Statistics or sadistics? It's up to you -- Computing and understanding averages : means to an end -- Vive la différence : understanding variability -- A picture really is worth a thousand words -- Ice cream and crime : computing correlation coefficients -- Just the truth : an introduction to understanding reliability and validity -- Hypotheticals and you : testing your questions -- Are your curves normal? Probability and why it counts -- Significantly significant : what it means for you and me -- t(ea) for two : tests between the means of different groups -- t(ea) for two (again) : tests between the means of related groups -- Two groups too many? Try analysis of variance -- Two too many factors : factorial analysis of variance -- Cousins or just good friends? Testing relationships using the correlation coefficient -- Predicting who'll win the Super Bowl : using linear regression -- What to do when you're not normal : chi-square and some other nonparametric tests -- Some other (important) statistical procedures you should know about -- A statistical software sampler -- The ten (or more) best (and most fun) Internet sites for statistics stuff -- The ten commandments of data collection.
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