1. To develop an understanding of preliminary concepts of statistics used in economics.
2. To help the students examine the techniques of correlation, regression, time series and index numbers.
3. To acquaint the students with the techniques of probability and hypothesis testing and their applications.
Measures of Central Tendency, Dispersion, Skewness and Kurtosis
Simple Correlation- Karl Pearson’s correlation coefficient and Spearman’s rank correlation coefficient. Simple Regression analysis.
Components of time series, measurement of trend (moving averages & least squares) and seasonal variation (simple averages).
Index numbers
Construction of Unweighted and Weighted Index Numbers, Tests of Adequacy, Cost of Living Index, Chain index, Base shifting, Splicing, use of index numbers for deflating.
Probability - definition, Theorems of Addition and Multiplication, Conditional Probability, Bayes Theorem, Mathematical Expectation.
Probability Distributions
Binomial, Poisson and Normal distributions.
Procedure of hypothesis testing.
Use of Z (single mean, difference of means, single proportion, difference of proportions), t (one sample, independent samples and paired samples), chi-square (goodness of fit and independence of attributes) & F (one-way & two-way ANOVA) tests.
· Gupta, S.P. Statistical Methods, S Chand & Company, 2012.
1. Speigal, Murray R., Statistics, Schaum’s Outlines, McGraw Hill Education, 1998.
2. Spiegel, Murray R., Schiller, John, Srinivasan, R. Alu and Goswai, Debasree, Probability and Statistics, McGraw Hill Education, 2017.
3. Croxton, Frederick E., Crowden, Dudley, J. and Klein, Sydney, Applied General Statistics, Prentice Hall of India, New Delhi, 3rd edition, 1979.
4. Nagar, A.L. and Das R.K., Basic Statistics, Oxford University Press, 1997.