Statistics Teachers' Day (Years 9 to 13)

What Do Statisticians Really Do?

Tamaki Campus, University of Auckland (Map)

Tuesday 25 November 2008


Programme:

8:45 - 9:00am

Registration

9:00 - 9:45am

Plenary Session 1
Welcome
How to Fake Data if You Must
Rachel Fewster, University of Auckland

9:45 - 10:45am

Workshop Session 1 (6 parallel sessions)

· 98% of All Statistics are Made Up
Louise Addison, TEAM Solutions, University of Auckland

· Use of Statistical Techniques in Market Research
Andrew Balemi, University of Auckland

· New Strengths in the Curriculum's Statistics
Mike Camden, Statistics New Zealand

· Teaching Level 6 Statistics using the PPDAC Cycle
Lisa Gilmore, Avondale College

· What Do Statisticians Really Do?
Paul O'Connor, founder and director of analytics company Datamine

· Drawing an Inference from an Experiment
Maxine Pfannkuch, University of Auckland

10:45 - 11:15am

Morning tea (provided)

11:15am - 12:00pm

Plenary Session 2
Bevan Werry Speaker
Statistics Education, Early 21st Century, NZ
Pip Arnold, TEAM Solutions, University of Auckland

12:00 - 1:00pm

Lunch (provided)

1:00 - 2:00pm

Workshop Session 2 (5 parallel sessions)

· Kiwi Kapers
Pip Arnold, TEAM Solutions, University of Auckland

· How Students Think and Reason Informally with Experimental Tasks
Anne Blundell, Auckland Girls Grammar School

· Telepathic or just Pathetic? An example of a cross-thread investigation
Anna Martin, Avondale College

· Statistics at Work: Using Statistical Methods for Water Science and Management
Graham McBride, Principal Scientist, NIWA, Hamilton

· Informal Inference Revisited
Chris Wild, University of Auckland

2:05 - 3:05pm

Workshop Session 3 (6 parallel sessions)

· Sex, Drugs and Rock & Roll (or was it Alcohol?)
Pip Arnold, TEAM Solutions, University of Auckland

· Support for School Statistics form Statistics NZ
Mike Camden, Statistics New Zealand

· Young Statisticians - What I Do and What I Use
Audrey Feng, Vero Insurance
Bobo Hu, Nutrigenomics NZ
Callum MacLennan, Westpac
Mark Wohlers, Hortresearch

· Industrial Maths: How Likely is a Major Blackout?
Peter Jaques, NZ Science, Mathematics & Technology Teacher Fellow, Massey University, Auckland

· How Useful is Year 13 Statistics? - A Mathematics Teacher Fellow Perspective in a Science World
Carolyn Leersnyder, NZ Science, Mathematics & Technology Teacher Fellow, NIWA, Hamilton/Auckland

· Informal Statistical Inference
Chris Wild and Maxine Pfannkuch, University of Auckland

Registration: