## ＜電子ブック＞1,001 statistics practice problems for dummies

責任表示 [executive editor, Lindsay Sandman Lefevere] Lefevere, Lindsay Sandman English (英語) John Wiley & Sons 2014-2014 Hoboken, NJ, New Jersey シリーズ For dummies 1001 practice statistics problems with answers and solution explanations. pt. I. The questions1. Basic vocabularyPicking out the population, sample, parameter, and statisticDistinguishing quantitative and categorical variablesGetting a handle on bias, variables and the meanUnderstanding different statistics and data analysis termsUsing statistical techniquesWorking with the standard deviation2. Descriptive statisticsUnderstanding the mean and the medianSurveying standard deviation and varianceEmploying the Empirical RuleMeasuring relative standing with percentilesDelving into data sets and descriptive statistics3. GraphingInterpreting pie chartsConsidering three-dimensional pie chartsInterpreting bar chartsIntroducing other graphsInterpreting histogramsDescribing the center of a distributionInterpreting box plotsInterpreting time charts4. Random variables and the binomial distributionComparing discrete and continuous random variablesUnderstanding the probability distribution of a random variableDetermining the mean of a discrete random variableWorking with the variance of a discrete random variablePutting together the mean, variance, and standard deviation of a random variableIntroducing binomial random variablesFiguring out the mean, variance, and standard deviation of a binomial random variableFinding binomial probabilities with a formulaFinding binomial probabilities with the binomial tableUsing the normal approximation to the binomial5. The normal distributionWorking with z-Scores and values of XWriting probability notationsIntroducing the Z-TableFinding probabilities for a normal distributionDigging deeper into z-Scores and probabilitiesFiguring out percentiles for a normal distribution6. The t-DistributionUnderstanding the t-Distribution and comparing it to the Z-DistributionUsing the t-TableUsing the t-Distribution to calculate confidence intervals7. Sampling distribution and the central limit theoremThe basics of sampling distributionschecking out random variables and sample meansExamining standard errorSurveying notation and symbolsUnderstanding what affects standard errorConnecting sample means and sampling distributionsLooking at the Central Limit TheoremSample mean calculationsFinding probabilities for sample meansAdding proportions to the mixFiguring out the standard error of the sample proportionUsing the Central Limit theorem for proportionsMatching z-Scores to sample proportionsFinding approximate probabilities8. Finding room for a margin of errorDefining and calculating margin of errorUsing the formula for margin of error when estimating a population meanFinding appropriate z*-Values for given confidence levelsConnecting margin of error to sample sizeLinking margin of error and population proportion9. Confidence intervals: basics for single population means and proportionsIntroducing confidence intervalsComponents of confidence intervalsInterpreting confidence intervalsSpotting misleading confidence intervalsCalculating a confidence interval for a population meanDetermining the needed sample sizePopulation proportionConnecting a population proportion to a surveyCalculating a confidence interval for a population proportion10. Confidence intervals for two population means and proportionsWorking with confidence intervals and population proportionsWorking with confidence intervals and population meansMaking calculations when population standard deviations are knownWorking with unknown population standard deviations and small sample sizes11. Claims, tests, and conclusionsKnowing when to use a hypothesis testSetting up null and alternative hypothesesFinding the test statistic and the p-ValueMaking decision based on alpha levels and test statisticsMaking conclusionsUnderstanding type I and type II errors12. Hypothesis testing basics for a single population mean: z- and t-TestsWhat you need to run a z-TestDetermining null and alternative hypothesesIntroducing p-ValuesCalculating the z-Test statisticFinding p-Values by doing a test of one population meanDrawing conclusion about hypothesesKnowing when to use a t-TestConnecting hypotheses to t-TestsCalculating test statisticsWorking with critical values of tLinking p-Values and t-TestsDrawing conclusion from t-TestsPerforming a t-Test for a single population mean13. Hypothesis tests for one proportion, two proportions, or two population meansComparing two independent population meansUsing the paired t-TestComparing two population proportions14. SurveysPlanning and designing surveysSelecting samples and conducting surveys15. CorrelationScatter plotsCorrelations16. Simple linear regressionIntroducing the regression lineKnowing the conditions for regressionExamining the equation for calculating the least-squares regression lineFinding the slope and y-intercept of a regression lineSeeing how variables can change in a regression lineFinding a regression lineConnecting to correlation and linear relationshipsDetermining whether variables are candidates for a linear regression analysisDescribing linear relationshipsMaking predictionsFiguring out expected values and differences17. Two-way tables and independenceIntroducing variables and two-way tablesReading a two-way tableInterpreting a two-way table by using percentagesInterpreting a two-way table by using countsConnecting conditional probabilities to two-way tablesInvestigating independent variablesCalculating marginal probability and moreAdding joint probability into the mixConditional and marginal probabilitiesFiguring out the number of cells in a two-way tableIncluding conditional probabilityResearch designspt. II. The answers18. AnswersAppendix : Tables for reference.続きを見る Full text available from Maruzen eBook Library

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レコードID 3644377 年刊 QA276.2 519.5/076 Statistics MATHEMATICS / Probability & Statistics / General. Statistics. ssj0001415318 2013954236 9781118776049(pbk.) 9781118776056(ebk.) 9781118776162[111877616X](ebk.) Includes index 2020.06.27 2020.06.28