S2 Course Content
BINOMIAL DISTRIBUTION: mean, variance.
POISSON DISTRIBUTION: mean, variance, use of Poisson as a approximation to the binomial distribution
CONTINUOUS RANDOM VARIABLES: concept, pdf, cdf, mean, variance, mode, median and quartiles.
CONTINUOUS DISTRIBUTIONS: continuous uniform distribution, use of normal as an approximation to the binomial and Poisson distributions, use of continuity correction.
HYPOTHESIS TESTS: concept of a statistic and its sampling distribution, hypothesis test, null and alternative hypothesis, critical region, one- and two-tailed tests, hypothesis for p of the binomial distribution and for the mean of a Poisson distribution.
Course Programme
0915 Coffee
0930 INTRODUCTION AND SESSION I: Binomial distribution, Poisson distribution
1115 Coffee
1130 SESSION II: Continuous random variables, continuous distributions
1300 Lunch
1345 SESSION III: Hypothesis tests
1515 Tea and depart
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