Statitics for people who (think they) hate statistics by Neil J. Salkind
Material type: TextLanguage: English Publication details: Sage, 2013. New Delhi:Edition: 2010 ExcelDescription: xxiv, 458pISBN:- 9781452225234
- 519.5 SAL-S
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Books | Library, SPAB G-1 | Non Fiction | 519.5 SAL-S (Browse shelf(Opens below)) | Checked out to Gaurav Vaidya (PF091) | 21/02/2025 | 007603 |
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519.5 MCG-C Creating and verifying data sets with Excel / | 519.5 PEA-S Statistical persuasion: | 519.5 PEL-I Intermediate statistics: a conceptual course | 519.5 SAL-S Statitics for people who (think they) hate statistics | 519.5 SCH-S Statistical methods for spatial data analysis / | 519.5 SPI-S Statistics / | 519.502855133 CRA-R R book / |
1.A note to the student : why I wrote this book --
2.Yippee! : I'm in statistics --
3.Statistics or sadistics? : it's up to you --
4.All you need to know about formulas and functions --
5.Sigma Freud and descriptive statistics --
6.Computing and understanding averages : means to an end --
7.Vive la difference : understanding variability --
8.A picture really is worth a thousand words --
9.Ice cream and crime : computing correlation coefficients --
10.Just the truth : an introduction to understanding reliability and validity --
11.Taking chances for fun and profit --
12.Hypotheticals and you : testing your questions --
13.Are your curves normal? : probability and why it counts --
14.Significantly different: using inferential statistics --
15.Significantly significant : what it means for you and me --
16.Only the lonely --
17.T(ea) for two (again) : tests between the means of related groups --
18.Two groups too many? : try analysis of variance --
19.Two too many factors : factorial analysis of variance : a brief introduction --
20.Cousins or just good friends? : testing relationships using the correlation coefficient --
21.Predicting who'll win the super bowl : using linear regression --
22.What to do when you're not normal : chi-square and some other nonparametric tests --
23.Some other (important) statistical procedures you should know about --
24.A statistical software sampler --
25.Things you?ll want to know and remember --
26.The ten (or more) best (and most fun) internet sites for statistics stuff --
27.The ten commandments of data collection --
Appendix A: Excel-erate your learning : all you need to know about excel --
Appendix B: Tables --
Appendix C: The data sets --
Appendix D: The reward : the brownie recipe
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