This course contains all of the lessons from swirl's Statistical Inference Course. Learn about probability, confidence intervals, and sampling all within RStudio.

## Introduction to Probability

In four exercises you will briefly be introduced to the basics of statistical inference, the process of drawing conclusions about a population using noisy statistical data where uncertainty must be accounted for. You will review basic ideas of probability, the study of quantifying the likelihood of particular events occurring.

## Expectation and Variance

Four exercises will discuss the usefulness and techniques in characterizing expected values and variance.

## Confidence Intervals

Three exercises will detail the statistical methods for dealing with small datasets, specifically the Student's or Gosset's t distribution and t confidence intervals.

## Power and Sampling

These three exercises will discuss how to calculate and utilize POWER, which is the probability of rejecting the null hypothesis when it is false.