IGNOU MST 016 Statistical Inference Study Guide (In Depth Guide) for Ignou Student(Paperback, BMA Publication)
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in-depth study guide for IGNOU MST 016 Statistical Inference would require covering various statistical concepts, methods, and their applications. Here's a structured outline for the study guide:Module 1: Introduction to Statistical InferenceOverview of Statistical InferenceDefinition and importanceDifference between descriptive and inferential statisticsBasic TerminologiesPopulation and sampleParameters and statisticsSampling distributionsTypes of DataContinuous vs. discrete dataNominal, ordinal, interval, and ratio scalesModule 2: Probability DistributionsDiscrete Probability DistributionsBinomial distributionPoisson distributionContinuous Probability DistributionsNormal distributiont-distributionChi-square distributionF-distributionModule 3: EstimationPoint EstimationMethod of momentsMaximum likelihood estimationProperties of estimators (bias, efficiency, consistency)Interval EstimationConfidence intervals for population parametersInterpretation and construction of confidence intervalsModule 4: Hypothesis TestingBasic ConceptsNull and alternative hypothesesType I and Type II errorsTest statistics and critical valuesParametric TestsZ-test for a population meant-test for a population meanChi-square test for independenceF-test for comparing variancesNon-parametric TestsWilcoxon signed-rank testMann-Whitney U testKruskal-Wallis test
