Probability in R. Discrete Random Variables
Infermath integrates mathematical theory and programming applications to provide a high-level understanding of quantitative fields.
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2 hours of content
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.
Teaches discrete probability concepts in R, including Bernoulli, binomial, and geometric distributions, descriptive statistics, matrices, loops, and the Borel-Cantelli lemma. Learners can implement probability calculations and simulations in R.
Who this course is for
Ideal for students and analysts who want to combine probability theory with R programming.
#r
#probability
#statistics
#binomial
#geometric
#discrete-random-variables