This post is second in a series of posts where I’m going to share some strategies for getting real data to use for statistical investigations that require sample to population inference. As I write them, you will be able to
This post is first in a series of posts where I’m going to share some strategies for getting real data for real data stories, specifically to use for statistical investigations that require sample to population inference. As I write them,
Last night, I saw a tweet announcing that Google had made data available on over 50 million drawings from the game Quick, Draw! I had never played the game before, but it is pretty cool. The idea behind the game is
In April 2017, I presented an ASA K-12 statistics education webinar: Statistical reasoning with data cards (webinar). Towards the end of the webinar, I encouraged teachers to get students to make their own data cards about their cats. A few days later,
Inspired by Fisher’s Iris data, this sample of flowers was created through simulation from a carefully designed model. From a student’s perspective, these flowers represent a random sample of flowers from a much bigger population of statistics flowers. The idea is that students
The data for each runner entered in the Auckland Marathon 2015 was obtained from https://www.aucklandmarathon.co.nz/. This data is owned by the organisers of the Auckland Marathon and can not be used for commercial purposes unless by prior written permission from the organisers. For each
The data for each player in the Rugby World Cup 2015 was obtained from http://www.rugbyworldcup.com/. This data is owned by the Rugby World Cup Ltd (RWC) and can not be used for commercial purposes unless by prior written permission from the RWC.
This population of stick people was created using data from the Census at School 2015 database. For the data cards, rather than put/indicate gender on the card I have used a fictional name, taken from the names of children entered in the