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.
Detailed exploration of central tendency measures including arithmetic mean, geometric mean, harmonic mean, median, mode, quartiles, deciles with calculation methods and properties.
Introduction to quantitative techniques covering historical development, definition, scope, statistical analysis phases, data types, sampling methods, classification, tabulation, frequency distributions, and data presentation methods.