SVU Degree Statistics Syllabus 1 to 6 Semesters

SEMESTER 1

1.Discriptive Statistics, Measures of central tendency, Measures of dispersion, Moments Skewness and Kurtosis, Theory of Probability
2.Random Variables, Mathematical Expectations, Generating Functions

3. Discrete Probability Distribution
4. Continuous Probability Distribution

SEMESTER 2
MATHEMATICAL EXPECTATIONS & PROBABILITY DISTRIBUTIONS

1.Mathematical Expectation:
2.Discrete Distribution
3.Geometric Distribution
4.Continuous Distribution
5.Normal Distribution

SEMESTER 3
STATISTICAL METHODS

1.Correlation
2.Correlation Ratio
3.Curve Fitting
4.Attributes
5.Basic concepts: Population, Sample, Parameter, statistic, Sampling distribution, Standard error.
Definition and properties of Student t- distribution, F – Distribution,
Chi-Distributions and its
applications, interrelationships.

SEMESTER 4
STATISTICAL INFERENCE

1.Estimation
2.Testing of Hypothesis
3.Large Sample
4.Small Sample
5.Non-Parametric Test

SEMESTER 5
PAPER 1 (SAMPLING TECHNIQUES & DESIGN OF EXPERIMENTS)

1.Sampling Theory
2.Simple Random Sampling
3.Stratified Random Sampling
4.Analysis of Variance
5.Randomized Block Design (R.B.D) and Latin Square Design (L.S.D) with their
layouts and Analysis, Missing plot technique in RBD and LSD. Efficiencies of these
designs.

PAPER 2 (STATISTICAL QUALITY CONTROL & RELIABILITY)

1.Statistical Qualirty Control
2.Shewart Control Charts
3.Acceptance Sampling Plans
4.Single & Double Sampling Plans
5.Reliability

SEMESTER 6
APPLIED STATISTICS

1.Time Series
2.Seasonal Indices
3.Index Numbers
4.Vital Statistics
5.Official Statistics.