Anna-Marie Fergusson (Martin)
Professional Teaching Fellow
Department of Statistics
University of Auckland

Email: a.fergusson@auckland.ac.nz

Kia ora!

I teach STATS10x (our introductory level statistics course) and STATS150 ("Lies, damned lies, and statistics").

I am also studying towards a PhD in Statistics Education, under the supervision of Maxine Pfannkuch, Chris Wild and Stephanie Budgett.

Before joining the department in 2015, I was Director of Mathematics and Statistics at Avondale College.

I am interested in statistical education, in particular curriculum and assessment design, and enjoy facilitating workshops to support professional development of statistics teachers.

I have worked with the New Zealand Ministry of Education and the New Zealand Qualifications Authority on the development of national assessment standards, tasks and teaching resources for statistics.

I also run a blog for statistics teachers: Teaching statistics is awesome


Research software and webpages

Probability modelling/simulation tool: An online probability simulation tool that allows for common probability distributions and custom discrete random variables, looped animation of repeated simulations and tracking of the over-fitted shape.


Awards and achievements

University of Auckland: Mathematics Education Technology Prize, 2016

New Zealand Association of Mathematics Teachers: Jim Campbell Award for Excellence in Teaching, 2013


Presentations and workshops

The power of pixels: Modelling with images. Plenary for Auckland Mathematical Association, September 2017.

Meeting Within a Meeting. Joint Statistical Meetings, American Statistical Association, August 2017.

ASA K-12 Statistics Education Webinar: Statistical reasoning with data cards. American Statistical Association, April 2017.

Apply probability concepts or probability distributions to solve problems: Using data and simulation to teach probability modelling (AS91585/AS91586). Auckland Mathematical Association, April 2017.

Evaluate statistically-based reports: Developing learning and formative assessment tasks (AS91584). Auckland Mathematical Association, April 2017.

Using technology to design and carry out experiments online. Otago Mathematics Association Conference, December 2016.

Using data challenges to encourage statistical thinking. Otago Mathematics Association Conference, December 2016.

All models are wrong but some are more wrong: Informally assessing the fit of probability distribution models (AS91586). Auckland Mathematical Association Statistics Day, November 2016; Otago Mathematics Association Conference, December 2016.

Meeting Within a Meeting. Joint Statistical Meetings, American Statistical Association, August 2016.

Developing engaging statistical modelling activities: Where do you start? Auckland Mathematical Association, April 2016.

10 ways to embrace the awesomeness that is our statistics curriculum. Plenary at Christchurch Mathematical Association Statistics Day, November 2015.

Using data challenges to encourage statistical thinking. Christchurch Mathematical Association Statistics Day, November 2015.

Stimulating simulations. New Zealand Association of Mathematics Teachers Conference, July 2015.

Probability distributions: What are the big ideas and how do we effectively teach them? Auckland Mathematical Association Statistics Day, November 2014.

Conducting and assessing experiments. University of Auckland Statistics Road Tour, November 2012; Auckland Mathematical Association Statistics Day, November 2012.

Scholarship statistics day. Waikato Mathematics Association, August 2012.

Literacy and thinking in mathematics and statistics. Auckland Mathematical Association HOD Day, May 2012.

Experiments at CL7 and CL8. Cognition Education, 2012.

Randomisation test. Auckland Mathematical Association Statistics Day, November 2011.

Questionnaire design. Auckland Mathematical Association Statistics Day, November 2011.

Experiments at CL7. Auckland Mathematical Association Statistics Day, November 2011.

Literacy and thinking with bivariate data investigations. Auckland HOD meeting, November 2011.

Scholarship statistics day. Waikato Mathematics Association, August 2011.

Scholarship statistics day. Waikato Mathematics Association, August 2010.

An example of how SOLO was used to explore the concept of statistical measures. New Zealand Association of Mathematics Teachers Conference, September 2009.

Statistical literacy at CL8. New Zealand Association of Mathematics Teachers Conference, September 2009.

Statistical investigations at CL8. New Zealand Association of Mathematics Teachers Conference, September 2009.

Year 13 statistics course design. New Zealand Association of Mathematics Teachers Conference, September 2009.

Scholarship statistics day. Waikato Mathematics Association, August 2009.

Scholarship statistics symposium. Massey University, July 2009.

Statistical literacy: From curriculum to teaching and learning. Auckland Mathematical Association HOD Day, May 2009.

Experiments at CL8. Auckland Mathematical Association, 2009.

Cross-strand investigations: Telepathic or just pathetic?. Auckland Mathematical Association Statistics Day, November 2008.

Scholarship statistics day. Waikato Mathematics Association, August 2008.

Resampling and confidence intervals. Auckland Mathematical Association, June 2008.

Assessing confidence in confidence intervals. Auckland Mathematical Association Statistics Day, November 2007.

Randomisation at CL8. Auckland Mathematical Association Statistics Day, November 2006.


Publications, contributions and resources

Starnes, D., & Martin, A. (2015). The AP Statistics Exam: An Insider’s Guide to its Distinctive Features. CHANCE, 28(3), 28–37.

Senior Secondary Guide material - Statistics, Ministry of Education. SSG TKI

Why do randomisation tests in the experiments standard? Census at school

Why does it always rain on me? Connected 3 (Science Technology Mathematics), Learning Media. Science TKI

Artificial intelligence, Ministry of Education. Gifted TKI

Car racing, Ministry of Education. Gifted TKI

8 glasses per day? Census at school

Bear hugs 1, 2, 3. Census at school Census at school Census at school

A tall tale. Census at school