« Five Not-to-be-Missed Ideas about Big Data | Main | Some statistics about nutrition statistics »


Feed You can follow this conversation by subscribing to the comment feed for this post.


I am in an online analytics program. What you described in the first part about the open ended nature of answers absolutely rings true for my program and the intent of the educators for the students to learn outside the textbook.
Unfortunately, because of the online nature, we get much multiple choice and a lack of nuance. I would give a ton for a professor to evaluate and assign more than one "right" answer.

John McClenny

One thing I wish my Grad school instructors would do is to provide one sample test before the first test. It always seems to take me one test to figure out the testing style of the instructor and I end up having to crush that next series of tests to get the A.

I do like the irony of using a non 0-100 based scale in a stats class where people should be able to understand the distribution of the scores anyway :).


John: I do give out a practice exam before the exam. Interestingly, only about half the students study it, which prompted my advice column here.

Matty: It's nice that some students realize it takes a lot of time and effort to set open-ended questions, and to grade them (i.e. I have to read and understand your answers, rather than keyword matching). Instructors are not doing this probably because students show no appreciation for it.
Because questions are open-ended, I don't provide answer keys to my practice exams but offer to provide feedback to anyone who emails me before the exam. This practice has led a few students to grade me F.

The comments to this entry are closed.

Kaiser Fung. Business analytics and data visualization expert. Author and Speaker.
Visit my website. Follow my Twitter. See my articles at Daily Beast, 538, HBR.

See my Youtube and Flickr.
Numbers Rule Your World:
Amazon - Barnes&Noble

Amazon - Barnes&Noble


  • only in Big Data

Next Events

Jan: 10 NYPL Data Science Careers Talk, New York, NY

Past Events

Aug: 15 NYPL Analytics Resume Review Workshop, New York, NY

Apr: 2 Data Visualization Seminar, Pasadena, CA

Mar: 30 ASA DataFest, New York, NY

See more here


R Fundamentals, Principal Analytics Prep

Numbersense: Statistical Reasoning in Practice, Principal Analytics Prep

Applied Analytics Frameworks & Methods, Columbia

The Art of Data Visualization, NYU

Signed copies at McNally-Jackson, NYC

Excerpts: Numbersense Ch. 1, 7, 8. NRYW

Junk Charts Blog

Link to junkcharts

Graphics design by Amanda Lee