Probability Concepts: Complete Guide to Classical, Subjective and Bayes Theorem

Comprehensive coverage of probability concepts including classical, relative frequency, and subjective approaches. Explores probability rules for mutually exclusive and non-mutually exclusive events, addition and multiplication rules. Introduces Bayes theorem for sequential events, fundamental counting principles, permutations, combinations, and practical applications with detailed illustrations.

Measures of Dispersion and Distribution Shape

Comprehensive study of dispersion measures including range, quartile deviation, mean deviation, variance, and standard deviation calculations. Explores coefficient of variation for comparing variability between datasets. Covers distribution shape analysis through skewness measures, kurtosis types, and symmetry assessment with practical business applications for consistency and reliability evaluation.