STA123 PRINCIPLES OF STATISTICS

3 Hours/Week, 3 Credits

Basic statistics: meaning and scope of variables and attributes, measurement scales, frequency distribution, stem and leaf analysis and graphical representation. Summarization of data: location, dispersion and their measures, skewness, kurtosis and their measures, moments and cumulants, five number summary, box and whisker plots. Probability distribution: study of Bernoulli, binomial, Poisson, negative binomial, geometric, hyper-geometric, multinomial, uniform, normal, exponential, gamma and beta distributions. Regression and correlation: method of least squares, regression line, correlation and regression coefficients. Association of attributes: basic ideas, independence, association and disassociation, measures of association, partial association, contingency table, association in r?c contingency table, Spearmanís rank correlation, Kendall tau correlation and coefficient of concordance.