Anna-Marie Fergusson (Martin) Email: a.fergusson@auckland.ac.nz |

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

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.

University of Auckland: Mathematics Education Technology Prize, 2016

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

*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.

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