The best part of teaching statistics is actually doing statistics with your students. So why not free up some time in class to do experiments, run simulations, and practice all those pesky probability rules?
These quick statistics videos are designed as short homework assignments to get students the basics of a concept before mastering the details in class with you. They will save you time writing definitions on the board so you can get right to the fun stuff!
This playlist will help you flip your unit on Normal Distributions! The video topics are described below.
There are no guided notes for these videos. For an intro statistics class, I often incentivize notetaking by letting students use their
notes on low-stakes quizzes.
What is standard deviation? Get a conceptual explanation of how it's calculated and what it tells us about a dataset.
Describing location in a dataset. Use percentiles and distances from the mean to describe location in a dataset. This video ends on a cliffhanger!
Z-Scores. Learn how to calculate and interpret z-scores to describe location in a dataset.
Transforming data. See what happens when we add, subtract, multiply, and divide numbers in a dataset. This video also introduces students to the concept of a standardized distribution.
The Empirical Rule. Finally learn about Normal distributions and see how the Empirical Rule can help us answer questions about a dataset!
Learn the basics of displaying quantitative data while collecting some TV data.
One more type of quantitative graph that we use to display prices at McDonald's.
Learn about quartiles and IQR to help describe the spread of a dataset.
Use the concept of food deserts to practice interpreting slope and y-intercept.
Learn the trick for finding the LRSL by hand (and get Chappell Roan stuck in your head).
Learn how to use a random digit table to assign random outcomes.
This video introduces students to the idea of results being statistically significant. There are no calculations, just conceptual understanding!