Academic Staff
COURSE OUTLINE
SAMPLE SPACE, EVENTS, PRINCIPLES OF ENUMERATION. PERMUTATIONS AND COMBINATIONS, CONDITIONAL PROBABILITY, STATISTICAL INDEPENDENCE. DISCRETE AND CONTINUOUS RANDOM VARIABLES, DISTRIBUTIONS, MEAN VALUE AND VARIANCE OF A RANDOM VARIABLE. BERNOULLI RANDOM VARIABLE, BINOMIAL DISTRIBUTION, POISSON DISTRIBUTION, UNIFORM DISTRIBUTION, EXPONENTIAL DISTRIBUTION, NORMAL DISTRIBUTION. APPROXIMATION OF BINOMIAL DISTRIBUTION BY THE NORMAL DISTRIBUTION. INDEPENDENCE OF RANDOM VARIABLES AND THE CENTRAL LIMIT THEOREM. INTRODUCTION TO THE BASIC PRINCIPLES OF STATISTICS. STATISTICAL MEAN AND VARIANCE, MEDIAN.