Course Information & Syllabus
Semester I
PAPER-I DESCRIPTIVE STATISTICS -I
- Unit 1. Nature of data and Measures of Central Tendency
- Unit 2. Measures of Dispersion
- Unit 3. Moments, Skewness and Kurtosis
- Unit-4. Theory of Attributes
PAPER II: ELEMENTARY PROBABITITY THEORY
- Unit-1. Sample space and Events
- Unit-2. Probability
- Unit-3. Conditional Probability
- Unit-4. Independence of events
Semester II
PAPER-III DESCRIPTIVE STATISTICS II
- Unit-1. Correlation
- Unit-2. Regression
- Unit-3: Multiple Linear Regression (for trivariate data only)
- Unit-4: Multiple and Partial Correlation (for trivariate data only)
PAPER IV DISCRETE PROBABILITY DISTRIBUTIONS
- Unit-1. Univariate Probability Distributions (finite sample space)
- Unit-2. Mathematical expectation (Univariate random variable):
- Unit-3. Some Standard Discrete Probability Distributions: (finite sample space):
- Unit-4. Bivariate Discrete Distribution
Semester V
PAPER-V Paper IX Probability Distributions - I
- Unit-1: Univariate Continuous Probability Distributions
- Unit -2. Bivariate Normal Distribution
- Unit-3: Truncated Distributions
- Unit-4: Order Statistics
Paper X Statistical Inference - I
- Unit - 1: Point Estimation
- Unit - 2: Likelihood and Sufficiency
- Unit - 3: Cramer Rao Inequality
- Unit - 4: Methods of Estimation
Paper XI Designs of Experiments
Paper XII Programming in C
Semester VI
Paper XIII Probability Distributions - II
Paper XIV Statistical Inference - II
Paper XV Sampling Theory
Paper XVI Operations Research
Practical IV Probability Distributions and R - Software