000 18965cam a2204705 i 4500
001 160433
008 150410s20132013nyua 001 0 eng
020 _a0071318070 (paperback)
020 _a9780071318075 (paperback)
040 _aMEF
_beng
_erda
049 _aTR-IsMEF
050 0 0 _aHA29
_b.L56 2013
100 1 _aLind, Douglas A.,
_eauthor.
245 1 0 _aBasic statistics for business and economics /
_cDouglas A. Lind, Coastal Carolina University and The University bof Toledo, William G. Marchal, The University of Toledo, Samuel A.Wathen, Coastal Carolina University.
250 _aEight edition, International edition.
264 1 _aNew York, NY :
_bMcGraw-Hill/Irwin,
_c2013.
264 4 _a©2013
300 _axxvii, 596 pages :
_bcolor illustrations ;
_c28 cm.
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
500 _aIncludes index.
505 0 _aPreface -- What is statistics? -- Describing data : frequency tables, frequency distributions, and graphic presentation -- Describing data : numerical measures -- Describing data : displaying and exploring data -- A survey of probability concepts -- Discrete probability distributions -- Continuous probability distributions -- Sampling methods and the central limit theorem -- Estimation and confidence intervals -- One-sample tests of hypothesis -- Two-sample tests of hypothesis -- Analysis of variance -- Correlation and linear regression -- Multiple regression analysis -- Nonparametric methods : goodness-of-fit tests -- Appendixes -- Appendix A: Data sets -- Appendix B: Tables -- Appendix C: Answers to odd-numbered chapter.
650 0 _aSocial sciences
_xStatistical methods.
650 0 _aEconomics
_xStatistical methods.
650 0 _aIndustrial management
_xStatistical methods.
700 1 _aMarchal, William G.,
_eauthor.
700 1 _aWathen, Samuel Adam,
_eauthor.
900 _aMEF Üniversitesi Kütüphane katalog kayıtları RDA standartlarına uygun olarak üretilmektedir / MEF University Library Catalogue Records are Produced Compatible by RDA Rules
910 _aPandora
942 _2lcc
_cBKS
970 0 1 _aPreface/Walkthrough,
_pvi.
970 1 2 _tWhat is statistics?,
_p1.
970 0 1 _aIntroduction,
_p2.
970 1 1 _tWhy study statistics?,
_p2.
970 1 1 _tWhat is meant by statistics?,
_p4.
970 1 1 _tTypes of statistics,
_p6.
970 1 1 _tDescriptive statistics,
_p6.
970 1 1 _tInferential statistics,
_p6.
970 1 1 _tTypes of variables,
_p8.
970 1 1 _tLevels of measurement,
_p9.
970 1 1 _tNominal-level data,
_p10.
970 1 1 _tOrdinal-level data,
_p11.
970 1 1 _tInterval-level data,
_p11.
970 1 1 _tRatio-level data,
_p12.
970 0 1 _aExercises,
_p14.
970 1 1 _tEthics and statistics,
_p14.
970 1 1 _tComputer applications,
_p14.
970 0 1 _aChapter summary,
_p16.
970 0 1 _aChapter exercises,
_p16.
970 0 1 _aData set exercises,
_p19.
970 0 1 _aPractice text,
_p19.
970 0 1 _aAnswers to self-review,
_p20.
970 1 2 _tDescribing data: frequency tables, frequency distributions and graphic presentation,
_p21.
970 0 1 _aIntroduction,
_p22.
970 1 1 _tConstructing a frequency table,
_p23.
970 1 1 _tRelative class frequencies,
_p23.
970 1 1 _tGraphic presentation of qualitative data,
_p24.
970 0 1 _aExercises,
_p28.
970 1 1 _tConstructing frequency distributions:quantative data,
_p29.
970 1 1 _tRelative frequency distribution,
_p34.
970 0 1 _aExercises,
_p35.
970 1 1 _tGraphic presentation of a frequency distribution,
_p36.
970 1 1 _tHistogram,
_p36.
970 1 1 _tFrequency polygon,
_p38.
970 0 1 _aExercises,
_p41.
970 1 1 _tCumlative frequency distributions,
_p42.
970 0 1 _aExercises,
_p44.
970 0 1 _aChapter summary,
_p46.
970 0 1 _aChapter exercises,
_p46.
970 0 1 _aData set exercises,
_p53.
970 0 1 _aPractice test,
_p54.
970 1 1 _tSoftware commands,
_p55.
970 0 1 _aAnswers to self-review,
_p57.
970 1 2 _tDescribing data: numerical measures,
_p59.
970 0 1 _aIntroduction,
_p60.
970 1 1 _tThe population mean,
_p60.
970 1 1 _tThe sample mean,
_p62.
970 1 1 _tProporties of the Arithmetic mean,
_p63.
970 0 1 _aExercises,
_p64.
970 1 1 _tThe weighted mean,
_p65.
970 0 1 _aExercises,
_p66.
970 1 1 _tThe median,
_p66.
970 1 1 _tThe mode,
_p67.
970 0 1 _aExercises,
_p69.
970 1 1 _tSoftware solution,
_p71.
970 1 1 _tThe relative positions of the mean, median and mode,
_p71.
970 0 1 _aExercises,
_p73.
970 1 1 _tWhy study dispersion?,
_p74.
970 1 1 _tMeasures of dispersion,
_p75.
970 1 1 _tRange,
_p75.
970 1 1 _tMean deviation,
_p76.
970 0 1 _aExercises,
_p78.
970 1 1 _tVariance and standard deviation,
_p79.
970 0 1 _aExercises,
_p82.
970 1 1 _tSoftware solution,
_p84.
970 0 1 _aExercises,
_p84.
970 1 1 _tInterpretation and uses of the standard deviation,
_p85.
970 1 1 _tChebyshev's theorem,
_p85.
970 1 1 _tThe empirical rule,
_p86.
970 0 1 _aExercises,
_p87.
970 1 1 _tEthics and reporting results,
_p87.
970 0 1 _aChapter summary,
_p88.
970 0 1 _aPronunciation key,
_p89.
970 0 1 _aChapter exercises,
_p90.
970 0 1 _aData set exercises,
_p93.
970 0 1 _aPractice test,
_p94.
970 0 1 _aSoftware commands,
_p94.
970 0 1 _aAnswers to self-review,
_p95.
970 1 2 _tDescribing data: displaying and exploring data,
_p97.
970 0 1 _aIntroduction,
_p98.
970 1 1 _tDot plots,
_p98.
970 0 1 _aExercises,
_p100.
970 1 1 _tMeasures of position,
_p101.
970 1 1 _tQuartiles, deciles, and percentiles,
_p101.
970 0 1 _aExercises,
_p104.
970 1 1 _tBox plots,
_p105.
970 0 1 _aExercises,
_p107.
970 1 1 _tSkewness,
_p108.
970 0 1 _aExercises,
_p112.
970 1 1 _tDescribing the relationship betweem two variables,
_p113.
970 0 1 _aExercises,
_p116.
970 0 1 _aChapter summary,
_p118.
970 0 1 _aPronunciation key,
_p118.
970 0 1 _aChapter exercises,
_p118.
970 0 1 _aData set exercises,
_p123.
970 0 1 _aSoftware commands,
_p124.
970 0 1 _aAnswers to self-review,
_p125.
970 1 2 _tA survey of probability concepts,
_p126.
970 0 1 _aIntroduction,
_p127.
970 1 1 _tWhat is a probability?,
_p128.
970 1 1 _tApproaches to assigning probabilities,
_p130.
970 1 1 _tClassical probability,
_p130.
970 1 1 _tEmprical probability,
_p131.
970 1 1 _tSubjective probability,
_p132.
970 0 1 _aExercises,
_p134.
970 1 1 _tSome rules for computing probabilities,
_p135.
970 1 1 _tRules of addition,
_p135.
970 0 1 _aExercises,
_p140.
970 1 1 _tRules of multipication,
_p141.
970 1 1 _tContigency tables,
_p144.
970 1 1 _tTree diagrams,
_p146.
970 0 1 _aExercises,
_p148.
970 1 1 _tPrinciples of counting,
_p149.
970 1 1 _tThe multiplication formula,
_p149.
970 1 1 _tThe permutation formula,
_p151.
970 1 1 _tThe combination formula,
_p152.
970 0 1 _aExercises,
_p154.
970 0 1 _aChapter summary,
_p155.
970 0 1 _aPronunciation key,
_p156.
970 0 1 _aChapter exercises,
_p156.
970 0 1 _aData set exercises,
_p160.
970 0 1 _aPractice test,
_p161.
970 0 1 _aSoftware commands,
_p162.
970 0 1 _aAnswers to self-review,
_p163.
970 1 2 _tDiscrete probability distributions,
_p165.
970 0 1 _aIntroduction,
_p166.
970 1 1 _tWhat is a probability distribution?,
_p166.
970 1 1 _tRandom variables,
_p168.
970 1 1 _tDiscrete random variable,
_p169.
970 1 1 _tContinuous random variable,
_p169.
970 1 1 _tThe mean, variance, and standard deviation of a probability distribution,
_p170.
970 1 1 _tMean,
_p170.
970 1 1 _tVariance and standard deviation,
_p170.
970 0 1 _aExercises,
_p172.
970 1 1 _tBinomial probability distribution,
_p174.
970 1 1 _tHow is a binomial probability computed?,
_p175.
970 1 1 _tBinomial probability tables,
_p177.
970 0 1 _aExercises,
_p180.
970 1 1 _tCumulative binomial probability distributions,
_p181.
970 0 1 _aExercises,
_p183.
970 1 1 _tPoisson probability distribution,
_p183.
970 0 1 _aExercises,
_p188.
970 0 1 _aChapter summary,
_p188.
970 0 1 _aChapter exercises,
_p189.
970 0 1 _aData set exercises,
_p192.
970 0 1 _aPractice test,
_p193.
970 0 1 _aSoftware commands,
_p194.
970 0 1 _aAnswers to self-review,
_p195.
970 1 2 _tContinuous probability distributions,
_p196.
970 0 1 _aIntroduction,
_p197.
970 1 1 _tThe family of uniform probability distributions,
_p197.
970 0 1 _aExercises,
_p200.
970 1 1 _tThe family of normal probability distributions,
_p201.
970 1 1 _tThe family of standard probability distributions,
_p203.
970 1 1 _tApplications of the standard normal distribution,
_p205.
970 1 1 _tThe empirical rule,
_p205.
970 0 1 _aExercises,
_p207.
970 1 1 _tFinding areas under the normal curve,
_p207.
970 0 1 _aExercises,
_p210.
970 0 1 _aExercises,
_p213.
970 0 1 _aExercises,
_p215.
970 0 1 _aChapter summary,
_p216.
970 0 1 _aChapter exercises,
_p216.
970 0 1 _aData set exercises,
_p220.
970 0 1 _aPractice test,
_p220.
970 0 1 _aSoftware commands,
_p221.
970 0 1 _aAnswers to self-review,
_p221.
970 1 2 _tSampling methods and the central limit theorem,
_p223.
970 0 1 _aIntroduction,
_p224.
970 1 1 _tSampling methods,
_p224.
970 1 1 _tReasons to sample,
_p224.
970 1 1 _tSimple random sampling,
_p225.
970 1 1 _tSystematic random sampling,
_p228.
970 1 1 _tCluster sampling,
_p229.
970 0 1 _aExercises,
_p230.
970 1 1 _tSampling "Error",
_p232.
970 1 1 _tSampling distribution of the sample mean,
_p233.
970 0 1 _aExercises,
_p236.
970 1 1 _tThe central limit theorem,
_p237.
970 0 1 _aExercises,
_p243.
970 1 1 _tUsing the sampling distribution of the sample mean,
_p244.
970 0 1 _aExercises,
_p247.
970 0 1 _aChapter summary,
_p247.
970 0 1 _aPronunciation key,
_p248.
970 0 1 _aChapter exercises,
_p248.
970 1 1 _tData set exercises,
_p253.
970 0 1 _aPractice test,
_p253.
970 0 1 _aSoftware commands,
_p254.
970 0 1 _aAnswers to self-review,
_p254.
970 1 2 _tEstimation and confidence intervals,
_p256.
970 0 1 _aIntroduction,
_p257.
970 1 1 _tPoint estimate for a population mean,
_p257.
970 1 1 _tConfidence intervals for a population mean,
_p258.
970 1 1 _tPopulation standard deviation, known o a computer simulation,
_p263.
970 0 1 _aExercises,
_p265.
970 1 1 _tPopulation standard deviation, o unknown,
_p266.
970 0 1 _aExercises,
_p273.
970 1 1 _tConfidence interval for a proportion,
_p274.
970 0 1 _aExercises,
_p277.
970 1 1 _tChoosing an appropriate sample size,
_p277.
970 1 1 _tSample size to estimate a population mean,
_p278.
970 1 1 _tSample size to estimate a population proportion,
_p279.
970 0 1 _aExercises,
_p281.
970 0 1 _aChapter summary,
_p281.
970 0 1 _aChapter exercises,
_p282.
970 0 1 _aData set exercises,
_p286.
970 0 1 _aPractice test,
_p286.
970 0 1 _aSoftware commands,
_p287.
970 0 1 _aAnswers to self-review,
_p288.
970 1 2 _tOne-sample tests of hypothesis,
_p289.
970 0 1 _aIntroduction,
_p290.
970 1 1 _tWhat is a hypothesis?,
_p290.
970 1 1 _tWhat is hypothesis testing?,
_p291.
970 1 1 _tFive-step procedure for testing a hypothesis,
_p291.
970 1 1 _tStep 1: State the null hypothesis (H₀) and the alternate hypothesis (H₁),
_p292.
970 1 1 _tStep 2: Select a level of significance,
_p293.
970 1 1 _tStep 3: Select the test statistic,
_p294.
970 1 1 _tStep 4: Formulate the decision rule,
_p294.
970 1 1 _tStep 5: make a decision,
_p295.
970 1 1 _tOne-tailed and two-tailed tests of significance,
_p296.
970 1 1 _tTesting for a population mean: known population standard deviation,
_p297.
970 1 1 _tA two-tailed test,
_p298.
970 1 1 _tA one-tailed test,
_p301.
970 1 1 _tp-value in hypothesis testing,
_p302.
970 0 1 _aExercises,
_p303.
970 1 1 _tTesting for a population mean: population standard deviation unknown,
_p304.
970 0 1 _aExercises,
_p309.
970 1 1 _tA software solution,
_p310.
970 0 1 _aExercises,
_p312.
970 1 1 _tTests concerning proportions,
_p313.
970 0 1 _aExercises,
_p316.
970 0 1 _aChapter summary,
_p316.
970 0 1 _aPronunciation key,
_p317.
970 0 1 _aChapter exercises,
_p317.
970 0 1 _aData set exercises,
_p321.
970 0 1 _aPractice test,
_p322.
970 0 1 _aSoftware commands,
_p322.
970 0 1 _aAnswers to self-review,
_p323.
970 1 2 _tTwo-sample tests of hypothesis,
_p325.
970 0 1 _aIntroduction,
_p326.
970 1 1 _tTwo-sample tests of hypothesis: independent samples,
_p326.
970 0 1 _aExercises,
_p331.
970 1 1 _tTwo-sample tests about proportions,
_p332.
970 0 1 _aExercises,
_p335.
970 1 1 _tComparing means with unknown population standard deviations,
_p336.
970 1 1 _tTwo-sample pooled t-test,
_p337.
970 0 1 _aExercises,
_p340.
970 1 1 _tTwo-sample tests of hypothesis: dependent samples,
_p342.
970 1 1 _tComparing dependent and independent samples,
_p346.
970 0 1 _aExercises,
_p348.
970 0 1 _aChapter summary,
_p349.
970 0 1 _aPronunciation key,
_p350.
970 0 1 _aChapter exercises,
_p350.
970 0 1 _aData set exercises,
_p356.
970 0 1 _aPractice test,
_p357.
970 0 1 _aSoftware commands,
_p358.
970 0 1 _aAnswers to self-review,
_p359.
970 1 2 _tAnalysis of variance,
_p360.
970 0 1 _aIntroduction,
_p361.
970 1 1 _tThe F distribution,
_p361.
970 1 1 _tComparing two population variances,
_p362.
970 0 1 _aExercises,
_p365.
970 1 1 _tANOVA assumptions,
_p366.
970 1 1 _tThe ANOVA test,
_p368.
970 0 1 _aExercises,
_p375.
970 1 1 _tInferences about pairs of treatment means,
_p376.
970 0 1 _aExercises,
_p379.
970 0 1 _aChapter summary,
_p380.
970 0 1 _aPronunciation key,
_p381.
970 0 1 _aChapter exercises,
_p381.
970 0 1 _aData set exercises,
_p386.
970 0 1 _aPractice test,
_p387.
970 0 1 _aSoftware commands,
_p388.
970 0 1 _aAnswers to self-review,
_p389.
970 1 2 _tCorrelation and linear regression,
_p390.
970 0 1 _aIntroduction,
_p391.
970 1 1 _tWhat is correlation analysis?,
_p392.
970 1 1 _tThe correlation coefficient,
_p394.
970 0 1 _aExercises,
_p399.
970 1 1 _tTesting the significance of the correlation coefficient,
_p401.
970 0 1 _aExercises,
_p404.
970 1 1 _tRegression analysis,
_p405.
970 1 1 _tLeast squares principle,
_p405.
970 1 1 _tDrawing the regression line,
_p408.
970 0 1 _aExercises,
_p410.
970 1 1 _tTesting the significance of the slope,
_p412.
970 0 1 _aExercises,
_p415.
970 1 1 _tEvaluating a regression equation's ability to predict,
_p415.
970 1 1 _tThe standard error of estimate,
_p415.
970 1 1 _tThe coefficient of determination,
_p416.
970 0 1 _aExercises,
_p417.
970 1 1 _tRelationships amon the correlation coefficient, the coefficient of determination and the standard error of estimate,
_p417.
970 0 1 _aExercises,
_p419.
970 1 1 _tInterval estimates of prediction,
_p419.
970 1 1 _tAssumptions underlying linear regression,
_p419.
970 1 1 _tContructing confidence and prediction intervals,
_p421.
970 0 1 _aExercises,
_p423.
970 1 1 _tTransforming data,
_p424.
970 0 1 _aExercises,
_p426.
970 0 1 _aChapter summary,
_p427.
970 0 1 _aPronunciation key,
_p429.
970 0 1 _aChapter exercises,
_p429.
970 0 1 _aDate set ecercises,
_p438.
970 0 1 _aPractice test,
_p440.
970 0 1 _aSoftware commands,
_p441.
970 0 1 _aAnswers to self-review,
_p442.
970 1 2 _tMultiple regression analysis,
_p443.
970 0 1 _aIntroduction,
_p444.
970 1 1 _tMultiple regression analysis,
_p444.
970 0 1 _aExercises,
_p448.
970 1 1 _tEvaluating a multiple regression equation,
_p450.
970 1 1 _tThe ANOVA table,
_p450.
970 1 1 _tMultiple standard error of estimate,
_p451.
970 1 1 _tCoefficient of multiple determination,
_p452.
970 1 1 _tAdjusted coefficient of determination,
_p453.
970 0 1 _aExercises,
_p454.
970 1 1 _tInferences in multiple linear regression,
_p454.
970 1 1 _tGlobal test: testing the multiple regression model,
_p455.
970 1 1 _tEvaluating individual regression coefficients,
_p457.
970 0 1 _aExercises,
_p461.
970 1 1 _tEvaluating the assumptions of multiple regression,
_p462.
970 1 1 _tLinear relationship,
_p463.
970 1 1 _tVariation in residuals same for large and small y values,
_p464.
970 1 1 _tDistribution of residuals,
_p465.
970 1 1 _tMulticollinearity,
_p465.
970 1 1 _tIndependent observations,
_p468.
970 1 1 _tQualitative independent variables,
_p468.
970 1 1 _tStepwise regression,
_p471.
970 0 1 _aExercises,
_p474.
970 1 1 _tReview of multiple regression,
_p475.
970 0 1 _aChapter summary,
_p480.
970 0 1 _aPronunciation key,
_p482.
970 0 1 _aChapter exercises,
_p482.
970 0 1 _aData set exercises,
_p493.
970 0 1 _aPractice test,
_p494.
970 0 1 _aSoftware commands,
_p495.
970 0 1 _aAnswers to self-review,
_p496.
970 1 2 _tNon parametric methds: goodness-of-fit tests,
_p497.
970 0 1 _aIntroduction,
_p498.
970 1 1 _tGoodness-of-fit test: equal expected frequencies,
_p498.
970 0 1 _aExercises,
_p503.
970 1 1 _tGoodness-of-fit test: unequal expected frequencies,
_p504.
970 1 1 _tLimitations of chi-square,
_p506.
970 1 1 _tTesting the hypothesis that a distribution of data is from a normal population,
_p508.
970 1 1 _tGraphical and statistical approaches to confirm normality,
_p511.
970 0 1 _aExercises,
_p514.
970 1 1 _tContingency table analysis,
_p516.
970 0 1 _aExercises,
_p520.
970 0 1 _aChapter summary,
_p521.
970 0 1 _aPronunciation key,
_p521.
970 0 1 _aChapter exercises,
_p521.
970 0 1 _aData set exercises,
_p526.
970 0 1 _aPractice test,
_p527.
970 0 1 _aSoftware commands,
_p528.
970 0 1 _aAnswers to self-review,
_p529.
970 0 1 _aAppendixes,
_p530.
970 0 1 _aAppendix A: data sets,
_p531.
970 0 1 _aAppendix B: tables,
_p540.
970 0 1 _aAppendix C: answers to odd-numbered chapter exercises and solutions to practice test,
_p555.
970 0 1 _aPhoto credits,
_p589.
970 0 1 _aIndex,
_p591.
970 0 1 _aExercises,
_p508.
999 _c4607
_d4607
003 KOHA