The Department of Statistics offers the following programs:
Under Graduate
- B.Sc: MSCs (Mathematics, Statistics, Computer Science).
- B.Sc: MSDs (Mathematics, Statistics, Data Science).
- B.Sc: MPS(Mathematics,Physics,Statistics).
- B.Sc: MES(Mathematics,Economics,Statistics).
Course Outcomes:
STAT-Descriptive Statistics (Theory+ Practical) –Paper-I
- Students learn the basic tools of descriptive statistics.
- Measures of central tendency & Dispersion properties and its applications.
- Concept of Moments and their use in studying various characteristics of data.
- Different approaches to the theory of probability and their use in solving problems.
- Analyze statistical data using MS-Excel.
STAT-Probability Theory and Distributions (Theory+ Practical): Paper-II
- Students learn different types of continuous distribution with their properties and applications.
- Knowledge of important discrete and continuous distributions such as Binomial, Poisson, Geometric, Negative Binomial and Hyper-geometric, normal, uniform, exponential, beta and gamma distributions,
- Acumen to apply standard discrete and continuous probability distributions to different situations.
- Analyze statistical data using MS-Excel.
STAT-Statistical Methods (Theory+ Practical): Paper-III
- Student learn to i) identify the relationship between two variables using scatter plot
- ii) Interpret a sample correlation.
- Know the association between the attributes.
- Know the construction of point and interval estimators.
- Evaluate the properties of estimators.
- Demonstrate understanding of the theory of maximum likelihood estimation
- Analyze Statistical data using MS-Excel.
STAT-Statistical Inference (Theory+ Practical): Paper-IV
- Students are able to describe the properties of unbiasedness. They are also learning to identify the null hypothesis, alternative hypothesis and test statistic.
- knowledge about order statistics and associated distributions,
- Concept about non-parametric method and some important non-parametric tests.
- Analyze statistical data using MS-Excel.
STAT-Sampling theory time series and index numbers And Design of Experiments, Vital Statistics (Theory+ Practical): Paper-V & VII
- Understand the concept of sampling distribution of a statistic and its properties, difference between parameter and statistic.
- Time Series properties and real life applications
- Index numbers properties and its applications
- Students learn to i) identify situations where one-way ANOVA is appropriate
- ii) identify the degrees of freedom associated with each sum of squares, iii) Interpret an ANOVA table.
- Official Statistics: CSO and NSSO
- Business Forecasting.
- Analyze statistical data using MS-Excel.
STAT- Quality, Reliability and Operations Research (Theory+ Practical): Paper-VI & VIII
- Formulate and solve LPP, Assignment problems, Transportation problems. ii) solve the zero-sum-two person–game
- Students are able to i) explain the different meanings of the quality concept and its influence.
- Implement practical cases in operations research by using TORA.
- Analyze statistical data using MS-Excel.