The purpose of today’s lab is to introduce tools for sampling from and calculating statistics for different types of distributions in R. The content of the lab will be split into two sections. The first section will focus on binomial distributions and the second section will focus on normal distributions. The Minihacks will test your knowledge of both types of distributions, as well as some distributions that are not discussed in the lab but are nonetheless important.

To quickly navigate to the desired section, click one of the following links:

  1. Binomial Distributions
  2. Normal Distributions
  3. Minihacks

Binomial Distributions

Imagine you are flipping a coin. If it is a fair coin, you would expect a 50% chance of the coin landing on heads and a 50% chance of the coin landing on heads. However, as shown in the animation below, every heads is not always paired with a tails. Sometimes there is a run of heads and sometimes there is a run of tails. Still, we would probably expect that, overall, there would be the same number of heads as tails. In other words, we would expect that if we flipped a single coin 100 times, the most likely outcome would be 50 heads and 50 tails.