Statistics I

What you'll learn

The key areas this subject covers, mapped to the official curriculum.

• Descriptive statistics and visualization
• Probability and rules
• Probability distributions
• Sampling and estimation
• Correlation and regression

Course units

The structured path through this subject.

1. 1

   Introduction

   Why statistics matters, the nature of statistical data, and how data is collected and organized.

   4 topics · 4 lessons available

2. 2

   Descriptive Statistics

   Summarizing datasets with location, spread and shape measures.

   5 topics · 5 lessons available

3. 3

   Introduction to Probability

   Sample spaces, counting rules, and the axioms and theorems of probability.

   4 topics · 4 lessons available

4. 4

   Sampling

   Sampling frames, probability and non-probability methods, and the sampling distribution of the mean.

   5 topics · 5 lessons available

5. 5

   Random Variables and Mathematical Expectation

   Random variables, probability functions, and the expectation and variance of a random variable.

   5 topics · 5 lessons available

6. 6

   Probability Distributions

   Discrete and continuous probability models: Bernoulli, binomial, Poisson, and normal.

   5 topics · 5 lessons available

7. 7

   Correlation and Linear Regression

   Measuring association between variables and fitting the least-squares regression line.

   5 topics · 5 lessons available