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.

Teaching with the ASA’s Election Prediction Contest

My latest piece for the NYT Learning Network gets students using statistics and data analysis to create entries for the American Statistical Association‘s Election Prediction contest.

The ASA’s contest invites students to predict the winner of each state in the upcoming Presidential election, as well as the vote-share for each major party candidate.  My piece offers students some basic strategies to consider when making their predictions.

A straightforward strategy for predicting the winner of each state would be to use the latest aggregate polling data from a reputable source. The New York Times offers a state-by-state probabilities chart that provides a projected outcome for each state as determined by each of several media outlets, including The Times itself as well as FiveThirtyEight and Daily Kos, among others.

Students could choose one of the outlets to use as the basis for their predictions, but to satisfy the written requirement of the contest they should be prepared to provide some justification for their choice. For example, they could research each outlet’s methodology and explain why they found one more compelling than another (perhaps more polls are used from each state, or the predictions have been more stable over time).

In addition to introducing students to several basic prediction strategies, there are plenty of links to online resources where students can explore visualizations of voting trends and research historical voting data.  The lesson is freely available here.

The ASA’s contest ends October 24th, so get predicting!

Who Needs Math? A Student Responds

For a political science professor, Andrew Hacker is surprisingly familiar to math teachers.  His 2012 New York Times Op-Ed “Is Algebra Necessary?” generated lots of conversation in the math education community, including several pieces from me:  “N Ways to Use Algebra With the New York Times” in NYT Learning, and “Replace Algebra with Algebra?”.

Professor Hacker is back in 2016 promoting a new book, and in a recent NYT interview he revives his anti-math arguments from four years ago:  math is not really necessary for jobs; it’s too hard; it prevents students from graduating.

I saw the piece and didn’t feel the need to respond.  There was nothing new, and I’d said what I wanted to say here.

But I was pleasantly surprised when I saw this letter-to-the-editor, written by a high school student, published in the February 19th edition of the New York Times.

In “Who Needs Math? Not Everybody” (Education Life, Feb. 7), Andrew Hacker, who teaches quantitative reasoning at Queens College, says that since only 5 percent of people use algebra and/or geometry in their jobs, students don’t need to learn these subjects.

As a high school student, I strongly disagree.

The point of learning is to understand the world. If the only point of learning is job preparation, why should students learn history, or read Shakespeare?

And while your job may never require you to know the difference between a postulate and a theorem, it will almost certainly require other math-based skills, like how to prove something or how to understand a graph.  

And my surprise turned to delight when I realized that the author is a 9th grader in my Geometry class!

While her love of mathematics and her wonderful attitude toward learning certainly predate my Geometry course, I am very proud to see reflections of our classroom in her letter.

You can read the full text of her letter here.

Related Posts

 

Teaching with “Why Do Americans Stink at Math?”

why do americans stink at mathMy latest piece for the New York Times Learning Network is a math lesson that uses Elizabeth Green’s article “Why Do Americans Stink at Math?” to get students thinking about the most effective ways to teach and learn mathematics.

Is there a crisis in math education? Lots of people seem to think so.

From worries about where the United States ranks on international tests to arguments over the Common Core, the way teachers teach and students learn math continues to be debated widely, leading to proposed changes in the ways mathematics is taught. But what really works for students in the math classroom? And when changes to the techniques are necessary, how can they be implemented effectively and appropriately across an entire system? This Text to Text lesson plan confronts those questions and more.

Students are invited to use the suggested texts, as well as their own experiences in math class, to explore questions like “Do you believe teaching with a stronger emphasis on conceptual understanding will improve students’ performance in math?”, “What are some of the potential obstacles one might face in trying to change the way mathematics, or any subject, is taught?”, and ultimately, “What are the best ways to teach and learn mathematics?”

The entire piece is freely available here.  There are already a number of interesting student comments on the piece.  It’s certainly eye-opening hearing what they have to say about how they perceive effective math teaching.

Exploring Compound Interest

Go to a <a href="http://bucks.blogs.nytimes.com/2013/01/07/investing-money-plus-lots-of-time-equals-excitement/">related post</a> about a topic one blogger calls “incredibly important to share with your kids.” »My latest piece for the New York Times Learning Network is a math lesson exploring personal savings and the power of compound interest.  The piece was inspired by a new program in Illinois that creates an automatic payroll-deduction savings program for all state residents.

In addition to exploring the basic ideas of savings and compounding, students are invited to analyze the merits of this state-run program.

The automatic retirement savings program mentioned in the article is described as a zero-fiscal-cost program because it does not require any government funding to run. This is because the savers themselves pay the costs, in the form of fees to financial institutions, amounting to 0.75 percent of their total savings each year.

Have students compute the costs associated with maintaining the account for each of the typical savers they profiled in the previous activity. One way to do this is to compute 0.75 percent of the total value of the savings account each year, before interest is computed. This is an estimate of the amount that would be paid in fees that year, and thus should be subtracted from the amount in savings.

The entire piece is freely available here.  Hopefully students will get a sense of the power and value of long-term savings, and maybe ask a few good questions about the the true price of zero-fiscal-cost programs.

Follow

Get every new post delivered to your Inbox

Join other followers: