Subject Syllabus
AD-703 (C) - Advanced Statistical Analytics
AIDS · Semester 7
Course Modules
Learn topic-wise with Hyper AI and revise using mapped PYQs.
and SRSWOR),Parameter and StatisticSampling distribution of as tatistic in the context of a finite populationSampling distribution of sample mean and sample proportion whilesampling from a finite population.Random sampling from an infinite populationSampling Distribution of sample mean and sample variance when the sample is drawn from a Normal distributionProblems on sampling distributions of statistics from finite and infinite populations.Statement of Lyndeberg-Levy Central Limit Theorem (CLT) and its applications.
Pearson's coefficient of correlationSpearman's Rank correlation coefficientMethods of least squareSimple linear Regression modelSLR assumptions and prediction Multiple linear RegressionMLR assumption and predictionPolynomial RegressionLogistics RegressionPoisson RegressionNon-Linear Regression Analysis of Variance (One way & Two Way).Analysis of CovarianceMultivariate Analysis of Variance
Testing of Hypotheses: Null and Alternative HypothesisTesting Procedure (Critical region)Type I and Type II errorsLevel of significance & Power of atest, p-value for symmetric null distribution.Tests for me an and proportion (single sample, two sampleexact & large sample) Tests for variance (single sample and two samples)Tests for me an and correlation coefficient for paired sample (Exact & Large sample)Analysis of Variance (one way).