← All courses x ˉ \bar x x ˉ Discrete and Data
Data displays, center and spread, the normal distribution, correlation and regression, sampling and experiments, random variables, and the logic of confidence intervals and hypothesis tests.
Before this: Algebra 1 What you'll be able to do
Choose and read the right display and summary for a data set Use z-scores and the normal model Fit and interpret a least-squares line Build a confidence interval and run a hypothesis test Start the course
Go through each topic step by step — prose, worked examples, quick checks, and a timed practice round after every section.
Every test ends with a score by topic and a list of what to revisit. Test out of a topic with 80% or better to mark it mastered.
Topics 1. Data and Displays
4 lessons Kinds of data and the pictures that fit them
2. Center and Spread
4 lessons Mean, median, variance and standard deviation
3. Percentiles and Box Plots
4 lessons The five-number summary and outliers
4. The Normal Distribution
4 lessons Z-scores, the empirical rule and the standard normal table
Scatter plots, correlation and the least-squares line
6. Sampling and Experiments
4 lessons Where data comes from and what can go wrong
7. Random Variables
4 lessons Expected value, variance and combining variables
8. Binomial and Geometric
4 lessons Counting successes and waiting for the first one
9. Sampling Distributions
4 lessons How a statistic varies from sample to sample
10. Confidence Intervals
4 lessons Estimating with a margin of error
11. Hypothesis Tests
4 lessons Is the effect real, or could chance explain it?