Random experiments; outcomes, sample spaces (set representation). Events; occurrence of events,‘not’, ‘and’ and ‘or’ events, exhaustive events, mutually exclusive events, Axiomatic (set theoretic) probability, connections with the theories of earlier classes. Probability of an event. Probability of ‘not’, ‘and’ ‘or’ events Conditional probability, multiplication theorem on probability. Independent events, total probability, Baye’s theorem, Random variable and its probability distribution, mean and variance of random variable. Independent (Bernoulli) trials and Binomial distribution
Measures of dispersion; Range, mean deviation, variance and standard deviation of ungrouped/ grouped data. Analysis of frequency distributions with equal means but different variances
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