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Statistical Inference with swirl

14 Exercises 325 Participants 3,500 XP

Open Course Description

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

Chapter 1: 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.

Chapter 2: Expectation and Variance

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

Chapter 3: 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.

Chapter 4: 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.

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