Statistics I

  1. Introduction to Statistics for Economics

  2. Descriptive Statistics

       Frequency distributions, Measures of central tendency, Measures of dispersion, Skewness, Kurtosis, Quantiles, Measuring changes in price and quantity: theory of index numbers, Measuring     short-run and long-run changes: growth rates, time series, seasonal effects, cyclical effects, irregular effects.    

  1. Probability, Random Variables and Moments

         Sample space, Events, Probability, Bayes’ Theorem, Random variable, Expectation, Variance, Moments and moment generating function   

  1. Discrete Probability Distributions

         Bernoulli distribution, Binomial distribution, Poisson Distribution.   

  1. Continuous Probability Distributions

        Uniform distribution, Normal distribution.   

  1. Joint Probability Distributions

         Jointly distributed random variables: discrete and continuous case, Independent random variables, Marginal and conditional distributions, Covariance.    

References: 

  1. Boes, D.C., Graybill F.A., and A.M.Mood. 2001. Introduction to the Theory of Statistics (3rd ed.). Tata McGraw-Hill. India.

  2. DeGroot, Morris H., and Mark J. Schervish. 2002. Probability and Statistics (3rded). Addison-Wesley. Boston, USA.

  3. Feller, W. 2008. An Introduction to Probability Theory and its Applications (2nd ed.). Wiley India Pvt. Ltd. India.

  4. Hogg, R.V., Craig A. and J.W. McKean. 2005. Introduction to Mathematical Statistics (6th ed.). Pearson. India.

  5. Ross, Sheldon M. 2004. Probability and Statistics for Engineers and Scientists (3rded). Academic Press. San Diego, USA.