Probability in R. Discrete Random Variables
Mum Coupon

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Infermath links mathematical theory with programming application to give high level understanding of quantitative fields

Created by Pawel Dudko – Last updated 5/2017 – English

This course includes

  • 2 hours on-demand video
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

What you’ll learn

  • draw random numbers in R
  • use descriptive statistics in R
  • use boolean variables in R
  • define and use Bernoulli random variable
  • define and derive probability of binomial distribution
  • define and assign values to vectors
  • use histogram in R
  • use combinations in set theory
  • define and assign values to matrices in R
  • draw plots in R
  • use for and while loops in R
  • use logical conditions in R
  • sum geometric series
  • define and derive probability of geometric distribution
  • predict numerical limitations of computers and R
  • define functions in R
  • define infinite series of events
  • specify conditions for series convergence
  • use independence of events
  • use properties of complementary events
  • use squeeze theorem
  • hold the loop execution and print results in R
  • define and prove Borel-Cantelli lemma

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