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Univariate continuous distribution theory
Univariate continuous distribution theory

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Learning outcomes

After studying this course, you should be able to:

  • understand the properties of probability density functions and cumulative distribution functions

  • define expectation, and be introduced to its important linearity property

  • calculate raw moments and central moments, including their special cases, the mean and variance

  • understand the effect of linear transformation on mean, variance and density

  • calculate the moment generating function, and appreciate its link to moments.