000			02446nam a2200229Ia 4500
003			NULRC
005			20250520102827.0
008			250520s9999 xx 000 0 und d
020			_a9781305269477
040			_cNULRC
050			_aQA 276 .O88 2016
100			_aR. Lyman Ott _eauthor
245		3	_aAn introduction to statistical methods & data analysis / _cR. Lyman Ott and Michael Longnecker.
250			_aSeventh Edition
260			_aBoston, Massachusetts : _bCengage Learning Asia Pte Ltd, _cc2016
300			_axv, 1174 pages : _billustrations ; _c25 cm.
365			_bUSD156.95
504			_aIncludes index.
505			_aChapter1. Statistics and the Scientific Method -- Chapter2. Using Surveys and Experimental Studies to Gather Data -- Chapter3. Data Description -- Chapter4. Probability and Probability Distributions -- Chapter5. Inferences about Population Central Values -- Chapter6. Inferences Comparing Two Population Central Values -- Chapter7. Inferences about Population Variances Chapter8. Inferences About More Than Two Population Central Values -- Chapter9. Multiple Comparisons -- Chapter10. Categorical Data -- Chapter11. Linear Regression and Correlation -- Chapter12. Multiple Regression and the General Linear Model -- Chapter13. Further Regression Topics -- Chapter14. Analysis of Variance for Completely Randomized Designs -- Chapter15. Analysis of Variance for Blocked Designs -- Chapter16. Analysis of Covariance -- Chapter17. Analysis of Variance for Some Fixed-, Random-, and Mixed-Effects Models -- Chapter18. Split-Plot, Repeated Measures, and Crossover Designs -- Chapter19. Analysis of Variance for Some Unbalanced Designs .
520			_aSeventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments
942			_2lcc _cBK
999			_c16351 _d16351