Follow the data!

Follow the data!

Last week I was down in Wellington for the VUW NZCER NZAMT16 Mathematics & Statistics Education Research Symposium, as well as for the NZAMT16 teacher conference. It was a huge privilege to be one of the keynote speakers and my keynote focused on teaching data science at the school level. I used the example of […]

Past and future talks and workshops

Past and future talks and workshops

I’m pretty excited about the talks and workshops I’m doing over the next month or so! Below are the summaries or abstracts for each talk/workshop and when I get a chance I’ll write up some of the ideas presented in separate posts. Keynote: Searching for meaningful sampling in apple orchards, YouTube videos, and many other […]

Example of sorted data cards

Different strokes?

Recently I’ve been developing and trialling learning tasks where the learner is working with a provided data set but has to do something “human” that motivates using a random sample as part of the strategy to learn something from the data. Since I already had a tool that creates data cards from the Quick, Draw! […]

A simple app that only does three things

A simple app that only does three things

Here’s a scenario. You buy a jumbo bag of marshmallows that contains a mix of pink and white colours. Of the 120 in the bag, 51 are pink, which makes you unhappy because you prefer the taste of pink marshmallows. Time to write a letter of complaint to the company manufacturing the marshmallows? The thing […]

Upcoming workshop: Using R to explore and exploit features of images

Upcoming workshop: Using R to explore and exploit features of images

If you’ve been keeping track of my various talks & workshops over the last year or so, you will have noticed that I’ve become a little obsessed with analysing images (see power of pixels and/or read more here).  As part of my PhD research, I’ve been using images to broaden students’ awareness of what is data, and […]

You say data, I say data cards …

You say data, I say data cards …

This long weekend (in Auckland anyway!), I spent some time updating the Quick! Draw! sampling tool (read more about it here┬áCat and whisker plots: sampling from the Quick, Draw! dataset). You may need to clear your browser cache/data to see the most recent version of the sampling tool. One of the motivations for doing so […]

Visualising bootstrap confidence intervals and randomisation tests with VIT Online

Visualising bootstrap confidence intervals and randomisation tests with VIT Online

Simulation-based inference is taught as part of the New Zealand curriculum for Statistics at school level, specifically the randomisation test and bootstrap confidence intervals. Some of the reasons for promoting and using simulation-based inference for testing and for constructing confidence intervals are that: students are working with data (rather than abstracting to theoretical sampling distributions) […]

Secret statistical snowflakes

Secret statistical snowflakes

Want to make some awesome gift tags/labels for Christmas or holiday-related presents? Here’s a fun little statistical art project. Write whatever words you want in the app below, create some secret snowflakes (the secret part being no one else will know what words you used unless of course you choose to display them), play around […]

What’s going on, what’s going on?

What’s going on, what’s going on?

For many high school teachers here in New Zealand, the teaching year is over and it’s now a six-week summer break before school starts again next year. Despite the well-deserved break, some teachers are already thinking about ideas for next year. I’ve been amazed (and inspired) by the teachers who have signed up to spend […]

Game of data

Game of data

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 find them all on this page. What’s your favourite board game? I read an article […]