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ID:14306187
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页数:9页
时间:2018-07-27
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1、专业:学号:姓名:装订线南京师范大学生命科学学院2008-2009学年第一学期硕士研究生期末考试《生物统计学》试卷(A)题号一二三四五六总分得分得分一、简答题(每小题4分,共20分)1、最常见的数据类型(Themostcommontypesofdata)答:Quantitativedata,ranked(ordinal)data,andcategorical(nominal)data2、为何需要数据转化(Whydatatransformation)答:threeassumptionsforparametricanalyses(1)Datafromeachgroupwereobtaine
2、drandomlyfromanormalpopulation;(2)thesampledpopulationsmustallhaveequalvariances(inwhichcaseitcanbesaidthatthevariancesarehomoscedastic);and(3)theeffectsofthefactorlevelsmustbeassumedtobeadditiveDataneedtobetransformediftheaforementionedthreeassumptionsarenotmetwhenemployingparametricandotherrel
3、atedanalyses3、如何从总体抽样(Howtosamplefrompopulations)答:Randomlysampling-randomtableandotherrandomlysamplingmethodsSizeandshapeofsamplesSizeandnumberofsamples-whenprecisionisholdconstant,thereisaninverserelationshipbetweensizeandnumberofsamplesN=4s2/d24、双因子方差分析的变异来源(Sourcesofvariationintwo-factoranal
4、ysisofvariance)答:within(error)groups(samples)SS=S[S(Xij–Xi)2],withingroupsDF=S(ni–1)=N-kamonggroupsSS=Sni(Xi–X)2]=S[(SXij)2/ni]–CamonggroupDF=k–1totalSS=SS(Xij–X)2=errorSS+groupsSS=SSXij2–CtotalDF=N–1=errorDF+groupsDFC=(SSXij)2/N5、试述统计分析的重要性(Whystatisticalanalysesimportant)答:Manyoftheinvestigati
5、onsinlifescienceshavebecomequantitative,inthatagreatmanytypesofenvironmentalobservationsconsistofnumericalfactscalleddata.Aslifeentitiesarecountedormeasured,itbecomesapparentthatsomeobjectivemethodsare《生物统计学》试题A(第9页共9页)necessarytoaidtheinvestigatorincollecting,presenting,analyzingandreportingres
6、earchdata.Beforedatacanbeanalyzed,theymustbecollected,andherestatisticalconsiderationscanaidinthedesignofexperimentsandinthesettingupofhypothesestobetested.Thus,aknowledgeofbasicstatisticalprinciplesandproceduresisimportantevenbeforeanexperimentisbegun.得分二、基础统计分析(1-2每小题5分,3-5每小题10分,共40分)1、用下表人类头
7、发颜色观测频次(O)的抽样数据,要求:(1)填写头发颜色的理论频次分布;(2)用卡方好适度检测和对数似然比例检测人类黑色、棕色、金色和红色头发颜色是否吻合2:2:2:1的颜色分布。显著性水平为0.05、自由度为3条件下的X2临界值是7.815[Thefollowingdataarerecordedastheobservedfrequencies(O),bywhichyoumayusetotestwhetherthesamplecomesfrom
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