Introduction to Distributions in R

Offered By
Coursera Project Network
In this Guided Project, you will:

 Draw random numbers from various types of distributions

Plot random number distributions and understand how changes to the various distribution parameters affect their shape and characteristics

Clock1 hour
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

This project is aimed at beginners who have a basic familiarity with the statistical programming language R and the RStudio environment, or people with a small amount of experience who would like to review the fundamentals of generating random numerical data from distributions in R.

Skills you will develop

query documentationgenerate sampling distributiondraw random numbers from distributionrun for loopplot histogram

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Draw random numbers from a uniform distribution and plot them in a histogram. Learn how to use the Set Seed function to recover previously generated random numbers for replicability.

  2. Draw random numbers from a binomial distribution, as well and use a binomial to draw random numbers from a Bernoulli distribution.

  3. Draw random numbers from the Poisson distribution.

  4. Draw random numbers from the Normal distribution and from multiple normal distributions simultaneously by using a vector of values for the distribution parameter arguments rather than a single value.

  5. Use random number drawing from a distribution to solve a real world question.

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.