Statistics for dummies / by Deborah J. Rumsey, PhD.
- 1 of 1 copy available at Clymer Library System.
- 2 of 2 copies available at Monroe County Libraries. (Show)
0 current holds with 2 total copies.
|Location||Call Number / Copy Notes||Barcode||Shelving Location||Status||Due Date|
|Clymer Library||519.5 RUM (Text)||32596000471291||Adult Nonfiction||Available||-|
- ISBN: 9781119293521
- ISBN: 1119293529
- Physical Description: xiii, 388 pages : illustrations ; 24 cm
- Edition: 2nd edition.
- Publisher: Hoboken, NJ : John Wiley & Sons, 
|Formatted Contents Note:||
Pt. 1. Vital statistics about statistics : Statistics in a nutshell ; The statistics of everyday life ; Taking control : so many numbers, so little time ; Tools of the trade -- Pt. 2. Number-crunching basics : Means, medians, and more ; Getting the picture : graphing categorical data ; Going by the numbers : graphing numerical data -- Pt. 3. Distributions and the central limit theorem : Random variables and the binomial distribution ; The normal distribution ; The t-distribution ; Sampling distributions and the central limit theorem -- Pt. 4. Guesstimating and hypothesizing with confidence : Leaving room for a margin of error ; Confidence intervals : making your best guesstimate ; Claims, tests, and conclusions ; Commonly used hypothesis tests : formulas and examples -- Pt. 5. Statistical studies and the hunt for a meaningful relationship : Polls, polls, and more polls ; Experiments : medical breakthroughs or misleading results? ; Looking for links : correlation and regression ; Two-way tables and independence -- Pt. 6. The part of tens : Ten tips for the statistically savvy sleuth ; Ten surefire exam score boosters.
Stymied by statistics? Fear not! In easy-to-understand terms, this guide shows you how to make sense of statistics. From collecting, graphing, and critiquing data to calculating confidence intervals and hypothesis tests, you'll have everything you need to analyze data with confidence. In no time, you'll be deciphering binomial, normal, t-, and sampling distributions; tackling regression and two-way tables; and much more.--COVER.
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