SEM-I: Paper-I: Descriptive Statistics and probability

CO1:Understand the have the basic knowledge on data collection and various statistical elementary tools.

CO2:Have the critical thinking in the theory of probability and its applications in real lifeproblems.

           SEM-II: Paper-II: Probability distributions

CO1:Made abridge between the elementary statistical tools and probability theory.

CO2: Apply the theoretical discrete probability distributions like binomial, Poisson, etc., in the relevant application areas.

CO3:Apply the theoretical continuous probability distributions like Normal, Exponential,etc., in the relevant application areas.

SEM-III:Paper-III:Statistical Methods and Theory of Estimation

CO1:Find the inter-relation between two or more phenomena with the help of curve fitting and correlation-regression analysis.

CO2:Understand the basic componentsof sampling and have the knowledge on exact sampling distributions which are essential for estimating and testing hypothetical statements.

CO3:Find a best estimator with reference to the different criteria in case of real life applications and questionnaires.

SEM-IV:Paper-IV:Statistical Inference

CO1:Understand critically the problems that are faced in testing of a hypothesis with reference to the errors in decision making.

CO2:Applythe differenttestingtools liket-test,F-test, chi-squaretest,sign test,runtest, etc analyse the relevant real life problems.

SEM-V:Paper-V:Applied Statistics-I

CO1:Analyse such problems and to make better decisions for future in their fields.

CO2:Understand the concepts of quality control in industry.