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PROBABILITY II

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Learning Outcomes

  • recognise discrete distribution: Binomial Distribution , Hypergeometric Distribution, Poisson distribution and apply moment generating function
  • recognise continuous distributions: Normal, uniform, exponential, gamma and beta distribution and apply moment generating function.
  • categorize discrete and continuous distributions and solve problem concerning these distributions.
  • Express the relation between discrete and continuous distribution
  • express probability of event , conditional probability, independence events
  • interpret bayes theorem and solve various problem using bayes theorem
  • Evaluate the goodness of fit of a distribution to data
  • test the fit of a distribution by using chi-square test
  • express skewness and kurtosis
  • solve problems about expectation, variance, skewness and kurtosis of discrete and continuous random variables.
  • Describe the sampling distribution, test statistics, the distribution of test statistics
  • express test statistics, the distribution of test statistics
  • recall chi-square random variable, the distribution of sum of chi-square random variables
  • categorize discrete and continuous distributions and solve problem concerning these distributions.
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