版次：01-01
出版日期：-08-01
ISBN：6
策划编辑：秦淑灵
定价：￥49.80
本书配套电子课件，习题解答，下载 3
1.1WhatisStatistics? 4
1.1.1MeaningsofStatistics 4
1.1.2DefinitionofStatistics 5
1.1.3TypesofStatistics 6
1.1.4ApplicationsofStatistics 6
1.2ThelanguageofStatistics 9
1.2.1PopulationandSample 9
1.2.2KindsofVariables 11
1.3MeasurabilityandVariability 14
1.4DataCollection 16
1.4.1TheDataCollectionProcess 17
1.4.2SamplingFrameandElements 18
1.5*Single-StageMethods 21
1.5.1SimpleRandomSample 21
1.5.2SystematicSample 22
1.6*MultistageMethods 25
1.7*TypesofStatisticalStudy 27
1.8TheProcessofaStatisticalStudy 31
Glossary 34
ReadingEnglishMaterials 35
Passage1.WhatisStatistics? 35
Passage2.FromDatatoForesight 35
Problems 36
Unit2DescriptiveAnalysisofSingle-VariableData 40
2.1Graphs,ParetoDiagrams,andStem-and-LeafDisplays 41
2.1.1QualitativeData 41
2.1.2QuantitativeData 43
2.2FrequencyDistributionsandHistograms 47
2.2.1FrequencyDistribution 47
2.2.2Histograms 51
2.2.3CumulativeFrequencyDistributionandOgives 53
2.3MeasuresofCentralTendency 55
2.3.1FindingtheMean 55
2.3.2FindingtheMedian 56
2.3.3FindingtheMode 57
2.3.4FindingtheMidrange 58
2.4MeasuresofDispersion 60
2.4.1SampleStandardDeviation 62
2.5MeasuresofPosition 64
2.5.1Quartiles 64
2.5.2Percentiles 64
2.5.3OtherMeasuresofPosition 66
2.6InterpretingandUnderstandingStandardDeviation 70
2.6.1TheEmpiricalRuleandTestingforNormality 70
2.6.2Chebyshev’sTheorem 72
Glossary 74
Problems 75
Unit3DescriptiveAnalysisofBivariateData 79
3.1BivariateData 80
3.1.1TwoQualitativeVariables 80
3.1.2OneQualitativeandOneQuantitativeVariable 82
3.1.3TwoQuantitativeVariables 83
3.2LinearCorrelation 85
3.2.1CalculatingtheLinearCorrelationCoefficient,r 86
*3.2.2CausationandLurkingVariables 89
3.3LinearRegression 91
3.3.1LineofBestFit 92
3.3.2MakingPredictions 97
ReadingEnglishMaterials 99
Passage1.TheFirstRegression 99
Passage2.Simpson’sParadox 99
Problems
Unit4IntroductiontoProbability
4.1SampleSpaces,EventsandSets
4.1.1Introduction
4.1.2SampleSpaces
4.1.3Events
4.1.4SetTheory
4.2ProbabilityAxiomsandSimpleCountingProblems
4.2.1ProbabilityAxiomsandSimpleProperties
4.2.2InterpretationsofProbability
4.2.3ClassicalProbability
4.2.4TheMultiplicationPrinciple
4.3PermutationsandCombinations
4.3.1Introduction
4.3.2Permutations
4.3.3Combinations
4.3.4TheDifferenceBetweenPermutationsandCombinations
4.4ConditionalProbabilityandtheMultiplicationRule
4.4.1ConditionalProbability
4.4.2TheMultiplicationRule
4.5IndependentEvents,PartitionsandBayesTheorem
4.5.1Independence
4.5.2Partitions
4.5.3LawofTotalProbability
4.5.4BayesTheorem
4.5.5BayesTheoremforPartitions
ReadingEnglishMaterials
Passage1.ProbabilityandOdds
Passage2.TheRelationshipbetweenOddsandProbability
Passage3.HowtheOddsChangeacrosstheRangeoftheProbability
Problems
Unit5DiscreteProbabilityModels
5.1Introduction,MassFunctionsandDistributionFunctions
5.1.1Introduction
5.1.2ProbabilityMassFunctions(PMFs)
5.1.3CumulativeDistributionFunctions(CDFs)
5.2ExpectationandVarianceforDiscreteRandomQuantities
5.2.1Expectation
5.2.2Variance
5.3PropertiesofExpectationandVariance
5.3.1ExpectationofaFunctionofaRandomQuantity
5.3.2ExpectationofaLinearTransformation
5.3.3ExpectationoftheSumofTwoRandomQuantities
5.3.4ExpectationofanIndependentProduct
5.3.5VarianceofanIndependentSum
5.4TheBinomialDistribution
5.4.1Introduction
5.4.2BernoulliRandomQuantities
5.4.3TheBinomialDistribution
5.4.4ExpectationandVarianceofaBinomialRandomQuantity
5.5TheGeometricDistribution
5.5.1PMF
5.5.2CDF
5.5.3UsefulSeriesinProbability
5.5.4ExpectationandVarianceofGeometricRandomQuantities
5.6ThePoissonDistribution
5.6.1PoissonastheLimitofaBinomial
5.6.2PMF
5.6.3ExpectationandVarianceofPoisson
5.6.4SumofPoissonRandomQuantities
5.6.5ThePoissonProcess
ReadingEnglishMaterials
Passage1.TheFounderofModernStatistics—KarlPearson
Passage2.TheRelationsofSeveralDiscreteProbabilityModels
Problems
Unit6DiscreteProbabilityModels
6.1Introduction,PDFandCDF
6.1.1Introduction
6.1.2TheProbabilityDensityFunction
6.1.3TheDistributionFunction
6.1.4MedianandQuartiles
6.2PropertiesofContinuousRandomQuantities
6.2.1Expectationandvarianceofcontinuousrandomquantities
6.2.2PDFandCDFofaLinearTransformation
6.3TheUniformDistribution
6.4TheExponentialDistribution
6.4.1DefinitionandProperties
6.4.2RelationshipwiththePoissonProcess
6.4.3TheMemorylessProperty
6.5TheNormalDistribution
6.5.1Definition
6.5.2Properties
6.6TheStandardNormalDistribution
6.6.1PropertiesoftheStandardNormalDistribution
6.6.2FindingAreatoTheRightofz=0
6.6.3FindingAreainTheRightTailofaNormalCurve
6.6.4FindingAreatotheLeftofaPositivezValue
6.6.5FindingAreafromaNegativeztoz=0
6.6.6FindingAreaintheLeftTailofaNormalCurve
6.6.7FindingAreafromANegativeztoaPositivez
6.6.8FindingAreaBetweentwozValuesoftheSameSign
6.6.9Findingz-ScoresAssociatedwithaPercentile
6.6.10Findingz-scoresthatBoundanArea
6.7ApplicationsofNormalDistributions
6.7.1ProbabilitiesandNormalCurves
6.7.2UsingtheNormalCurveandz
6.8Specificz-score
6.8.1VisualInterpretationofz(a)
6.8.2DeterminingCorrespondingzValuesforz(a)
6.8.3Determiningz-scoresforBoundedAreas
6.9NormalApproximationofBinomialandPoisson
6.9.1NormalApproximationoftheBinomial
6.9.2NormalApproximationofthePoisson
Problems
Unit7SamplingDistributionsandCLT
7.1SamplingDistributions
7.1.1FormingaSamplingDistributionofMeans
7.1.2CreatingaSamplingDistributionofSampleMeans
7.2TheSamplingDistributionofSampleMeans
7.2.1CentralLimitTheorem
7.2.2ConstructingaSamplingDistributionofSampleMeans
7.3ApplicationoftheSamplingDistributionofSampleMeans
7.3.1ConvertingInformationintoz-scores
7.3.2DistributionofandIncreasingIndividualSampleSize
7.4AdvancedCentralLimitTheorem
7.4.1CentralLimitTheorem(SampleMean)
7.4.2CentralLimitTheorem(SampleSum)
Problems
PartIIInferentialStatistics
Unit8IntroductiontoStatisticalInferences
8.1PointEstimationandIntervalEstimation
8.1.1PointEstimate
8.1.2IntervalEstimate
8.2EstimationofMeanm(sKnown)
8.2.1ThePrincipleofConstructingaConfidenceInterval
8.2.2Applications
8.2.3SampleSizeandConfidenceInterval
8.3IntroductiontoHypothesisTesting
8.3.1NullHypothesisandAlternativeHypothesis
8.3.2FourPossibleOut北京哪个医院专业治疗白癜风北京治疗白癜风去哪个医院比较好