I've used Anna's idea and asked how many pairs of shoes they own. It's a more surprising question and opens the opportunity to talk about the fact that they will give
an answer even if they don't actually know it. You may get the same opportunity with the parents' heights. Of course, I was asking the questions in class so there's no opportunity to go check. I have used the shoe size also because it works so well as qualitative data that looks like quantitative. Never tried both at once but that could be interesting.
I'm also not specific about the unit of measure on at least some of the questions. That gives us the chance to talk about it. If you have international students, they'll report height in centimeters which is pretty easy to convert. It's harder to deal with height data when it's given in feet and inches but it drives home the point of needing to ask clear questions to get self-report data. Distance from campus would be truly messy data because there will be plenty of students who won't know the miles but only the time it takes.
Love student data collection projects! It does take forethought if you want to be able to use it throughout the term. I started with just getting through descriptive statistics and asked questions to generate data that would get used to create various graphs. Over time, I got better at including questions that also made for good examples in the introduction of various tests too.
Good luck and have fun.
------------------------------
Beverly Wood
Assistant Professor
Embry-Riddle Aeronautical University
------------------------------
Original Message:
Sent: 08-17-2017 13:01
From: Achut Adhikari
Subject: Data collection in an Introductory Statistics Class
Dear ASA community,
I will be collecting data in my Introductory Statistics course which will be used for descriptive and inferential types projects later in the semester. I was wondering what variables do you consider in the data collection as an instructor. Here are some of the variables in my mind:
1. Height: Height of students (inch)
2. Shoe: Shoe size (U.S.)
3. Distance: Dailey one way commuting distance to Miami University (Mile)
4. Class: Number of fall, 2017 classes taking at Miami University
5. Standing: Class standing – i.e. Freshmen, Sophomore, Junior, Senior
6. Hand: Dominant hand i.e. Right or Left
7. Sleep: Average sleeping hours in weekday (hours)
8. FHeight: Father's height (inch)
9. MHeight: Mother's height (inch)
I would appreciate your ideas.