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How I am using the Math Medic AP Stats Review Course
By Josh Tabor Like everyone else, I am constantly tweaking the way I teach AP Statistics, including how I manage the crucial time before…
Why Teach Using the Experience First, Formalize Later Model?
In our previous post, we explained how we implement the Experience First, Formalize Later model. In this post, we explore the “why.”
How to Design an Experience First, Formalize Later Lesson
We’ve explained the Experience First, Formalize Later lesson design and its benefits. Now, we’ll discuss the design ideas.
Why Isn’t Bias Accounted for by the Margin of Error?
When teaching confidence intervals, we talk about how bias is not accounted for by the margin of error. Â Seems easy enough to me, so when…
The Normal Approximation to the Binomial Distribution
When is it appropriate to use a Normal distribution to approximate a binomial distribution? We use the green Skittles activity to discuss.
3 Things I Learned at NCTM
My biggest take-aways from the sessions I attended at the 2023 NCTM Annual Conference.
Would This Get Credit? 2023 AP Statistics Exam #3
Here it is — the dreaded probability question! See what is needed for full credit on the AP Exam, including details about holistic scoring.
Three New Lessons for Calc BC!
EFFL Lessons for Euler’s Method, Parametric and Vector Motion, and Polar Area.
AP Stats Shirt Design Contest
We are looking for an official design for the 2023-2024 AP Stats shirts. Have students submit their designs here!
Stand and Talk: A Strategy for Improving Statistical Communication
Struggling to get students to actually talk about statistics in your classroom? A stand and talk may be exactly what you need.
The Rights of the Learner: Building Confidence and Equity in an EFFL Classroom
Karen Sleno shows us how to create an environment where taking risks is encouraged and where everyone’s voice has value.
Statistics and Technology: From the Past to the Future
As technology continues to evolve, the question of what we should be teaching becomes increasingly important.