| Record ID | ia:statisticsforeng0000mend |
| Source | Internet Archive |
| Download MARC XML | https://archive.org/download/statisticsforeng0000mend/statisticsforeng0000mend_marc.xml |
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LEADER: 03458cam 2200529 a 4500
001 ocm70961494
003 OCoLC
005 20211012021123.0
008 060818s2007 njua b 001 0 eng c
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042 $apcc
050 4 $aQA276$b.M429 2007
082 04 $a519.5$222
100 1 $aMendenhall, William.
245 10 $aStatistics for engineering and the sciences /$cWilliam Mendenhall, Terry Sincich.
250 $a5th ed.
260 $aUpper Saddle River, N.J. :$bPearson Prentice-Hall,$c©2007.
300 $axii, 1060 pages :$billustrations ;$c26 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
504 $aIncludes bibliographical references (pages 1028-1035) and index.
520 $aThis text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.
505 00 $gCh. 1.$tIntroduction --$gCh. 2.$tDescriptive statistics --$gCh. 3.$tProbability --$gCh. 4.$tDiscrete random variables --$gCh. 5.$tContinuous random variables --$gCh. 6.$tBivariate probability distributions and sampling distributions --$gCh. 7.$tEstimation using confidence intervals --$gCh. 8.$tTests of hypotheses --$gCh. 9.$tCategorical data analysis --$gCh. 10.$tSimple linear regression --$gCh. 11.$tMultiple regression analysis --$gCh. 12.$tModel building --$gCh. 13.$tPrinciples of experimental design --$gCh. 14.$tThe analysis of variance for designed experiments --$gCh. 15.$tNonparametric statistics --$gCh. 16.$tStatistical process and quality control --$gCh. 17.$tProduct and system reliability --$gApp. A.$tMatrix algebra --$gApp. B.$tUseful statistical tables --$gApp. C.$tSAS for Windows tutorial --$gApp. D.$tMINITAB for Windows tutorial --$gApp. E.$tSPSS for Windows tutorial.
650 0 $aMathematical statistics.
650 0 $aEngineering$xStatistical methods.
650 7 $aEngineering$xStatistical methods.$2fast$0(OCoLC)fst00910415
650 7 $aMathematical statistics.$2fast$0(OCoLC)fst01012127
700 1 $aSincich, Terry.
776 08 $iOnline version:$aMendenhall, William.$tStatistics for engineering and the sciences.$b5th ed.$dUpper Saddle River, N.J. : Pearson Prentice-Hall, ©2007$w(OCoLC)654378963
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