
Statistics Fundamentals
Data can be deceiving. Learn to use math to discern truth from fiction.
Riddles on Averages
Solving Forward, Solving Backward
Deception
Mean and Median
Mode
Quantiles
IQR
A Probability Refresher
Simpson's Paradox
Scatterplots and Regression
Regression Paradoxes
Bar and Line Graphs
More Graphs
Cumulative Frequency Plots
The Two MADs
Variance and Standard Deviation
Building the Normal Curve
Mathematical Bias
The n-1 Mystery
Observation vs. Experiment
Bayesian Probability
Experiment Design
Blocking
Confidence Intervals
Hypothesis Testing
Type I and Type II Errors
Course description
Statistics starts from data and then asks what was used to generate it. Learning the building blocks — median, mode, range, variance, and standard deviation — will help you analyze graphs, determine statistical significance, and make informed decisions. By the end of this course, you'll be able to mathematically quantify predictions, use statistical tools to conduct experiments, and discern the truth in a set of data.
Topics covered
- Arithmetic Mean
- Median
- Mode
- Quantiles
- IQR
- Variance
- Standard Deviation
- Regression
- Deceptive Graph Design
- Cumulative Frequency Plots
- p-values
- Normal Curves
- Experiment Design
- Type I and Type II errors
- Simpson's Paradox
Prerequisites and next steps
You'll need an understanding of algebra and some familiarity with probability.