Pick a lesson — or pick up where you left off.
Six bite-size lessons, one per objective. Most students do them in order, but you can jump around if you want a refresher on a specific idea.
Start Lesson 01What statistics is, really.
Differentiate between descriptive and inferential statistics, and identify which kind a given claim is making.
Open lessonMean, median, mode.
Compute the mean, median, and mode of a data set; interpret the mean visually as the value that balances the data.
Open lessonRange and standard deviation.
Compute the range of a data set; interpret standard deviation as the typical distance from the mean; recognize the Excel functions that compute each.
Open lessonReading data displays.
Interpret data from bar charts, histograms, box plots, and pie charts; match each chart type to the kind of question it answers best.
Open lessonThe normal distribution and the empirical rule.
Decide whether the normal distribution is an appropriate model for a data set, and apply the empirical rule (68-95-99.7) to estimate percentages and find values at μ ± 1σ, ±2σ, ±3σ.
Open lessonSurveys and the margin of error.
Explain how sample size combines with the normal distribution into a margin of error, and interpret the ±x% on a poll headline as a 95% confidence interval around the true population value.
Open lesson