Statistics for Behavioral Sciences: a QuickStudy Laminated Reference Guide
Format:
Pamphlet
En stock
1.22 kg
Sí
Nuevo
Amazon
USA
- Essential quick reference guide for one of the most challenging courses in the behavioral sciences. With memorization of statistical concepts and equations in a non-mathematics centered major, this reference to the need-to-know of the course will be a life saver. Authored in its concise style and format this 6 page, colorfully organized, durably laminated tool provides the answers you need at your fingertips. Organized and authored by Deborah J. Rumsey, PhD, accomplished author, Statistics Education Specialist, Faculty Member, and Fellow of the American Statistical Association. Quality and care of authorship, editing, and design makes this an incredible value for the study support and grade boosting power it holds. 6 page laminated guide includes:Important TermsGraphs for Single VariablePie ChartBar GraphHistogramStem-and-Leaf PlotBoxplotData TablesDescriptive Statistics for Single VariableMeasures of CenterQuartiles & PercentilesFive-Number SummaryMeasures of VariationCorrelation & RegressionCorrelationSimple Linear RegressionSimple Linear Regression AnalysisInterpretation & PredictionMeasuring How Well the Regression Line FitsProbabilityRandom VariablesProbability DistributionNormal Distribution68-95-99.7 RuleStandard Normal (Z) DistributionThe t DistributionBinomial DistributionNormal Approximation to the BinomialSampling Distribution of p(hat)(1 − α)% Confidence IntervalsFor One Population Mean μXFor One Population Proportion pFor the Difference in Two Population Means μX–μYFor the Difference in Two Population Proportions p1–p2α-Level Hypothesis TestsFor One Population Mean μxFor One Population Proportion pFor the Difference of Two Population Means μX – μY with Independent SamplesHypothesis Test for the Mean of the Paired Differences μd (Paired Data, Dependent)For the Difference in Two Proportions, Independent SamplesAnalysis of Variance (ANOVA)The F DistributionThe F TableANOVA TableMultiple ComparisonsTwo-Way ANOVA
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