STATS DAY 2014 FLYER.jpg

Abstracts from the day available on: bit.ly/statsabstracts

Video recordings of workshops from the day available on: http://bit.ly/statsday2014videos

Resources from workshops

Plenary - Lillian Grace

Democratising data with Wiki New Zealand


Session A

A1 Max Riley, Nayland College
Flip the classroom in Statistics - lessons learnt


A2 Kiri Dillon, Lincoln High and Dave Phillipps, Middleton Grange
Integrating research into Year 13 Statistics reports


A3 Ian Westbrooke, Principal Science Advisor - Statistician, NZ Department of Conservation
iNZights into dolphin, stoat, and Milford track datasets


Maui's dolphin video


A4 Neil Marshall, NZQA
AS 91035 Investigate a given multivariate data set using the statistical enquiry cycle


Session B


B1 Michelle Dalrymple, Cashmere High
Clarifying inferences at Level Three


B2 Dave Phillipps, Middleton Grange
Developing students statistical literacy or literacy in Statistics?


B3 Associate Professor Marco Reale, School of Mathematics and Statistics, University of Canterbury
Big Data… the New Buzz in Town

B4 Neil Marshall, NZQA
AS 91264 Use statistical methods to make an inference


Session C

C1 Michelle Dalrymple, Cashmere High and Grant Ritchie, Cashmere High
Probability - the pathway to Year 13 from Year 9


C2 Dave Phillipps, Middleton Grange
Scholarship Statistics


C3 Tara Egerton, Oxford Area, Patsi Sullivan, Oxford Area, Kristian Giles, CBHS and Fraser Hall, CBHS
Experiments Maths Camp (Yr 12 & 13)


C4 Neil Marshall, NZQA
AS 91582 Use statistical methods to make a formal inference


Session D


D1 Michelle Dalrymple, Cashmere High and Kiri Dillon, Lincoln High
Developing students’ statistical insight in years 9 to 13


D2 Grant Ritchie, Cashmere High
Evaluate Stats Reports at Level Three


D3 Irene David, University of Canterbury, Emma Mawby, Statistics New Zealand and Richard Penny, University of Canterbury and Statistics New Zealand
Assessing the Effectiveness of a Statistical Thinking Course

D4 Neil Marshall, NZQA
Assessment experts for the internally assessed Statistics Achievement standards