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Statistics Fundamentals

Data can be deceiving - use math to discern truth from fiction.

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.

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1. 1

Statistics Introduction

Learn the tools needed to detect data fakery.

1. Riddles on Averages

Get a feel for statistics by investigating averages.

2. Solving Forwards, Solving Backwards

How are probability and statistics different?

3. Deception

Explore some cases where statistics can be deceptive.

2. 2

Building Blocks

Everything you need to analyze a set of data.

1. Included with

Mean and Median

Learn what mean and median are, how they get applied, and where using them might be inappropriate.

2. Included with

Mode

Reckon with the data that appears the most.

3. Included with

Quantiles

Split lists in more ways than one.

4. Included with

IQR

Consider a metric used to decide outliers.

3. 3

Lying with Statistics

Use statistics and graphs together to make informed decisions.

1. Included with

Scatterplots and Regression

2. Included with

Study the drawbacks and confounding aspects of using regressions.

3. Included with

Bar and Line Graphs

Check out a wide variety of bar and line graphs that are designed to deceive.

4. Included with

More Graphs

What other types of data visualizations are out there, and how might they be used and misused?

4. 4

Variance and Normal Curves

Standard deviation, mean, range, and a mathematical mystery...

1. Included with

Learn about two technical statistical metrics.

2. Included with

Variance and Standard Deviation

Build and strengthen your intuition for using variance and standard deviation.

3. Included with

Building the Normal Curve

Use this puzzle to derive the most famous curve in statistics.

4. Included with

Mathematical Bias

When and how can sampling go wrong?

5. 5

Experiments

Learn how to manipulate a situation to find a relationship between two variables.

1. Included with

Observation vs. Experiment

When can you say a conclusion is sound?

2. Included with

Bayesian Probability

Review conditional probability by solving these practice problems.

3. Included with