Departments - STATISTICS - Course Outcomes
SEMESTER - 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.
SEMESTER - 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.
SEMESTER - 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.
SEMESTER - 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.
SEMESTER - 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.
CO3:Apply various tools to examine the qualityof aprocess and product.
SEMESTER - VI
Paper-VI: Applied Statistics-II
CO1: Know the various sampling methodologies and their efficiencies in theoretical and practical aspects.
CO2: Analyse the different mathematical models with the help of statistical deigns and appropriate data and made valuable conclusions by proper evaluation.
CO3: Know the various sampling methodologies and their efficiencies in theoretical and practical aspects.
PROGRAM OUTCOMES
PO-1:
- Acquire core knowledge of the basic concepts of statistics which include the major areas of Descriptive Statistics, probability theory, probability distributions, statistical inference, survey sampling, designs of experiments, applied statistics, mathematical methods and R Programming.
PO-2:
- Practical exercises done will enable students to analyze and interpret data and also to draw valid conclusions. This will enable students to face real time applications.
PO-3:
- Apply the concepts of statistics, Operations Research, Probability theory, Time Series, Designs of Experiment, etc. in real life problems.
- PO-4:
- Understand the applications of statistics concept in other disciplines such as mathematics, physics, economics, etc.
PO-5:
- Provides a platform for pursuing higher studies leading to Post Graduate or Doctorate degrees.