MARC Record from marc_nuls

LEADER: 03665ngm 2200553Ka 4500
001 9922069390001661
005 20150423142147.0
007 vd cvaiz|
008 111021p20111989vtu120 e vleng c
020 $a1576808203 (set)
020 $a9781576808207 (set)
035 $a(CSdNU)u466445-01national_inst
035 $a(OCoLC)758021680
035 $a(OCoLC)758021680
040 $aCNU$cCNU
049 $aCNUM
099 $aDV3250 DISC 5
245 00 $aAgainst all odds--inside statistics.$nDisc 5, programs 17-20 $h[videorecording] /$cdeveloped by the Consortium for Mathematics and Its Applications ; a production of the Chedd/Angier Production Company ; produced in association with the American Statistical Association.
260 $aS. Burlington, VT :$bAnnenberg Media,$c2011, c1989.
300 $a1 videodisc (ca. 120 min.) :$bsd., col. ;$c4 3/4 in.
500 $aClosed- captioned.
505 0 $aBinomial distributions (ca. 30 min.) -- The sample mean and control charts (ca. 30 min.) -- Confidence intervals (ca. 30 min.) -- Significance tests (ca. 30 min.)
511 0 $aHost, Teresa Amabile.
520 $aProgram 17 discusses binomial distribution and the criteria for it, and describes a simple way to calculate its mean and standard deviation. An additional feature describes the quincunx, a randomizing device at the Boston Museum of Science, and explains how it represents the binomial distribution.
520 $aWith program 18, the successes of casino owners and the manufacturing industry are used to demonstrate the use of the central limit theorem. One example shows how control charts allow us to effectively monitor random variation in business and industry. Students will learn how to create x-bar charts and the definitions of control limits and out-of-control limits.
520 $aProgram 19 lays out the parts of the confidence interval and gives an example of how it is used to measure the accuracy of long-term mean blood pressure. An example from politics and population surveys shows how margin of error and confidence levels are interpreted. The program also explains the use of a formula to convert the z* values into values on the sampling distribution curve. Finally, the concepts are applied to an issue of animal ethics.
520 $aProgram 20 explains the basic reasoning behind tests of significance and the concept of null hypothesis. The program shows how a z-test is carried out when the hypothesis concerns the mean of a normal population with known standard deviation. These ideas are explored by determining whether a poem "fits Shakespeare as well as Shakespeare fits Shakespeare." Court battles over discrimination in hiring provide additional illustration.
521 $aCollege students and adults.
536 $aDVD.
599 $aSEE ALSO VC 1707 V.9, VC 1708 V.10.
650 0 $aBinomial distribution.
650 0 $aRandom variables.
650 0 $aCentral limit theorem.
650 0 $aLimit theorems (Probability theory)
650 0 $aConfidence intervals.
650 0 $aStatistical hypothesis testing.
700 1 $aAmabile, Teresa.
710 2 $aConsortium for Mathematics and Its Applications (U.S.)
710 2 $aChedd-Angier Production Company.
710 2 $aAmerican Statistical Association.
710 2 $aAnnenberg Media.
740 02 $aBinomial distributions.
740 02 $aSample mean and control charts.
740 02 $aConfidence intervals.
740 02 $aSignificance tests.
830 0 $aMTH 210 (NU course)
830 0 $aPED 665 (NU course)
994 $aC0$bCNU
999 $aDV 3250 DISC 5$wALPHANUM$c1$i31786102965594$lAV$mNULS$rN$sY$tDVD $u10/21/2011