Statistical literacy is important. I love examples of folks using statistical concepts without being snobby statistical gatekeepers. For instance, see jargon-free statistical literacy that helps people make important decisions about their children's health or informs the immigration debate . As stats teachers, I think we are remiss if we don't talk about political polling in our classes. At least a little bit. Here is a brief, nonpartisan interview about political polling you can use in class to see whether students can identify the concepts they've learned. Here is a short NPR i nterview o n how to think properly about political polling. If you use the interview in class, you could ask your students to identify the statistics and research methods mentioned. I clocked margin of error, sampling error, and research methodology evaluation. If using an audio interview isn't your thing, check out t his summary piece from NPR, based on the...
On November 3, 2014, Hyundai and Kia were fined a record-setting $100 million for violating the Clean Air Act. In addition, they were fined for cooking their data and misreporting their fuel economy, using the unethical (cherry-picking) techniques described below by representatives of the federal government:
Here is EPA's press release about the fine.
How to use it in class:
-Hyundai and Kia cherry-picked data, picking out the most flattering data but not the most representative.
-Here, a company was felled by the simple, modest statistical mean.
""One was the use of, not the average data from the tests, but the best data. Two, was testing the cars at the temperature where their fuel economy is best. Three -- using the wrong tire sizes; and four, testing them with a tail wind but then not turning around in the other direction and testing them with a head wind. So I think that speaks to the kinds problems that we saw with Hyundai and Kia that resulted in the mismeasurement." Video and quote from Sam Hirsch, acting assistant attorney general.
Here is EPA's press release about the fine.
How to use it in class:
-Hyundai and Kia cherry-picked data, picking out the most flattering data but not the most representative.
-Here, a company was felled by the simple, modest statistical mean.