Riddles on Averages
Get a feel for statistics by investigating averages.
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.
Learn the tools needed to detect data fakery.
Everything you need to analyze a set of data.
Learn what mean and median are, how they get applied, and where using them might be inappropriate.
Reckon with the data that appears the most.
Split lists in more ways than one.
Consider a metric used to decide outliers.
Review some essential probability concepts!
Explore a famous paradoxical situation in which probability seems to defy reality.
Use statistics and graphs together to make informed decisions.
Learn how regressions are made.
Study the drawbacks and confounding aspects of using regressions.
Check out a wide variety of bar and line graphs that are designed to deceive.
What other types of data visualizations are out there, and how might they be used and misused?
Investigate a type of graph that accumulates to 100%.
Standard deviation, mean, range, and a mathematical mystery...
Learn about two technical statistical metrics.
Build and strengthen your intuition for using variance and standard deviation.
Use this puzzle to derive the most famous curve in statistics.
When and how can sampling go wrong?
Resolve an algebraic mystery.
Learn how to manipulate a situation to find a relationship between two variables.
When can you say a conclusion is sound?
Review conditional probability by solving these practice problems.
What's the best way to design an experiment?
Learn the reasoning behind different methods of sampling.
There's always some uncertainty, but just how much?
Get a feel for how margins of error and p-values are really used.
Account for false positives and false negatives.