Lots of people have learned statistics. You can too!

This site is all about your learning statistics. It's okay if you don't like numbers: statistics is more about thinking than it is about numbers. So imagine it is as a strange land you want to explore. And that there are three ways you can tour it. First, you can take a 10-day guided tour. Second, you can explore on your own. And third, you can sign up for an intensive 2-day whirlwind tour. All are good ways to learn statistics. Choose one or try them all. See how much you already know by taking an INTERACTIVE PRETEST.

10-DAY GUIDED TOUR

Get Ready To Tour

A University-Level Course. And It’s Totally Free. Read More →

Day 1: Measurement

Before you conduct a study, use your theory to answer five questions: (1) what are...

Day 2: Central Tendency

The goal is to find a way to summarize a large group of numbers. One part of that...

Day 3: Dispersion

We found the middle of the group because most people score about the same on any...

Day 4: z-Score

An entire distribution can often be reduced to a mean and standard deviation. A z-score...

Day 5: Correlation

This is the first 2-variable model we’ll consider. Both variables (designated...

Day 6: Regression

With regression, you can make predictions. When there is a strong correlation between...

Day 7: Probability

Moving from describing events to predicting their likelihood involves probabilities,...

Day 8: Independent t-Test

A t-test asks whether two means are significantly different. If the means, as representatives...

Day 9: One-way ANOVA

When more than 2 groups are to be compared, multiple t-tests are conducted because...

Day 10: Advanced Procedures

It is helpful to have an overview of designs more advanced than those covered in...

SELF-DIRECTED TOUR

Feel free to explore this site by topic. Hike where you want. Camp out anywhere along the way. Blaze new trails or re-examine your favorite areas. You're in charge of your itinerary.

Here are some of the more popular topics:

a. Why measure central tendency?

b. How to predict hut size from rocks.

c. Which design do I use?

d. What's causal modeling all about?

e. What kind of jobs use statistics?

Or search for anything of interest.