2020 AP Calculus BC Practice Exams

The 2020 AP Calculus BC exam will be very different in scope and structure than previous years, as a consequence of logistical issues brought on by the COVID-19 pandemic. The College Board has indicated the test items will be similar to those on past exams, but there aren’t many existing practice materials designed with the 2020 format in mind.

I’ve created two sample practice exams for my BC Calculus students and will share them here for teachers and students looking for additional resources. All are welcome to use them, but keep in mind that these are merely guesses about what the exam might be like in terms of scope and difficulty. I will say that I intentionally tried to make these more challenging than the College Board’s sample exam, which is just a re-combination of existing 2019 items. (I referred to this as Practice Exam #1, which is why you see #2 and #3 below.)

Please use as you see fit. And let me know if they are helpful!

STEM for All Video Showcase

Next week I’ll be a facilitator and judge for the 2020 STEM for All Video Showcase. This event highlights hundreds of innovative projects designed to improve Science, Mathematics, Engineering, and Computer Science education in both formal and informal settings.

Thousands of educators, researchers, policy makers, parents, and students actively participate in the event, and the videos are watched by hundreds of thousands of people worldwide. The showcase runs from May 5th to May 12th, and everyone is invited to watch the videos, participate in the conversations, and vote for their favorites!

Find out more at the STEM for All Video Showcase website.

Related Posts

7 Ways to Explore the Math of the Coronavirus Using the New York Times

My latest piece for the New York Times Learning Network is “7 Ways to Explore the Math of the Coronavirus Using the New York Times”, a collection of ideas for using NYT articles, infographics, and interactives to explore the mathematics underlying the current coronavirus epidemic.

The opportunities range from statistical literacy to network theory. Here’s an example of some data analysis you can engage in using a wonderful NYT interactive:

By using sliders to change, for example, the level of intervention (e.g., moderate or aggressive) or the length of intervention (e.g., 14 days or 60 days), students can see how outcomes change. And, by playing with the model, they will be able to answer questions like: “What is the impact of shortening our social distancing period?” or “What happens when we delay the start of our interventions?”

The full article is freely available on the New York Times Learning Network.

How Rational Math Catches Slippery Irrational Numbers — Quanta Magazine

My latest column for Quanta Magazine is about a clever technique for finding rational approximations to irrational numbers. The technique, developed by the German mathematician Gustav Dirichlet, works by covering the number line with tiny intervals centered at certain rational numbers.

But Dirichlet did better. He improved this method by figuring out how to shrink the intervals around their centers while still keeping the entire number line covered. As the intervals shrink, so does the distance to any irrational number we are trying to approximate. This means we’ll get better and better rational approximations, even using relatively small denominators. But we can’t shrink the intervals too quickly: Even though there are infinitely many of them, if the intervals get too small too fast they won’t cover the entire number line. In the battle between the infinitely large and the infinitely small, Dirichlet had to find the right balance to prevent some irrationals from slipping through the cracks.

Dirichlet’s technique explains why we can always find good rational approximations to irrational numbers using small denominators, like \pi \approx \frac{22}{7}. Developed nearly 200 years ago, this technique ultimately led to the proposal of the Duffin-Schaeffer conjecture which was finally proved this past year.

You can read the full article here.

Dangerous Numbers

My latest piece for the New York Times Learning Network is inspired by a recent NYT editorial from mathematician and author John Allen Paulos. In “We’re Reading the Coronavirus Numbers Wrong”, Paulos opens with a warning about our addiction to up-to-the-minute:

Numbers have a certain mystique: They seem precise, exact, sometimes even beyond doubt. But outside the field of pure mathematics, this reputation rarely is deserved. And when it comes to the coronavirus epidemic, buying into that can be downright dangerous.

The lesson uses Paulos’s essay to help frame student analysis of new reporting. By asking questions like “Is the data what we think it is?”, “Does the data mean what we think it means?”, and “Is there other data that could help put this in context?”, students can improve their quantitative literacy skills. And maybe spot a few “dangerous numbers” of their own!

The full lesson is freely available at the New York Times Learning Network.

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