Statistical Methods

A course dealing with statistical concepts including descriptive statistics, probability distributions, interval estimation, hypothesis testing, analysis of variance and statistical forecasting.

1. Descriptive statistics, discrete random variables and probability distributions.

2. Uncertainties of measured quantities and error propagation, systematic and total uncertainties.

3. Continuous random variables, parameters of the probability distribution.

4. Selected types of probability distributions.

5. Point estimates from sample and their properties.

6. Interval estimation of expected value, variance and standard deviation.

7. Hypotheses testing: t-test for one and two populations, F test, Chi-squared test.

8. Simple linear regression and correlation

1. Goon, A.M.. Gupta, M.K. and Dasgupta, B.: Fundamentals of Statistics, Vol. I and II

2. Gupta and Kapoor : Fundamentals of Statistics, Sultan Chand and Sons.

3. Croxton, F.E. and Cowden, D.F.: Applied General Statistics.

4. Ansari and Chaudhari: Applied Statistics

5. Yule, G.U. and Kendall, M.G.: An Introduction to the Theory of Statistics.

A prerequisite for passing the course is obtaining a positive grade from the written examination.