Simple linear regression covering least-squares method, regression equations, coefficient of determination, point estimates, and prediction using regression line.
Statistical inference covering point/interval estimation, hypothesis testing, z-test, t-test, F-test, chi-square test, ANOVA methodology for decision making.
Statistical distributions including binomial, hypergeometric, Poisson, and normal distributions with mean, variance, properties, and business applications.
Foundation of probability theory covering sample space, events, probability rules, Bayes’ theorem, permutations, combinations, and counting principles with applications.
Comprehensive coverage of dispersion measures including range, quartile deviation, mean deviation, variance, standard deviation, coefficient of variation with merits and limitations.