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020 _a9781461403906
037 _cTextual
040 _aCSL
_beng
_cCSL
041 _aeng
084 _aB28 Q2 TB
_qCSL
100 _aDevore, Jay L
_eauthor
_9851937
245 0 _aModern Mathematical Statistics with Applications
250 _a2nd
260 _aNew York :
_bSpringer ,
_c2012 .
300 _axii,854p.
490 _aSpringer texts in statistics
500 _aIncluded bibliographical references.; Index 835-854p.
520 _aModern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis, accomplished authors Jay Devore and Kenneth Berk make statistical concepts and methods clear and relevant through careful explanations and a broad range of applications involving real data.The main focus of the book is on presenting and illustrating methods of inferential statistics that are useful in research. It begins with a chapter on descriptive statistics that immediately exposes the reader to real data. The next six chapters develop the probability material that bridges the gap between descriptive and inferential statistics. Point estimation, inferences based on statistical intervals, and hypothesis testing are then introduced in the next three chapters. The remainder of the book explores the use of this methodology in a variety of more complex settings.This edition includes a plethora of new exercises, a number of which are similar to what would be encountered on the actuarial exams that cover probability and statistics. Representative applications include investigating whether the average tip percentage in a particular restaurant exceeds the standard 15%, considering whether the flavor and aroma of Champagne are affected by bottle temperature or type of pour, modeling the relationship between college graduation rate and average SAT score, and assessing the likelihood of O-ring failure in space shuttle launches as related to launch temperature.
650 _aDescriptive statistics.
_9851938
650 _aMathematical statistics.
_9851939
650 _aProbability distribution.
_9851940
650 _aStatistics.
_9851941
700 _aBerk, Kenneth N.
_eco- author
_9851942
942 _hB28 Q2 TB
_cTEXL
_2CC
_n0
999 _c14480
_d14480