Probability in R. Discrete Random Variables
Infermath links mathematical theory with programming application to give high level understanding of quantitative fields
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12,308
students
2 hours
content
Jun 2020
last update
FREE
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What you will 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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776890
udemy ID
2/28/2016
course created date
12/21/2019
course indexed date
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