Themes
Papers are invited from any area of probability and statistics.
Sessions are planned on statistical programming, statistical genetics
and stochastic processes There will also be a statistics education
session that will be of interest to teachers. Student presentations are especially welcome.
Statistics Education Sessions
Statistics Education will be a special theme for Tuesday, with a keynote
address, a session of contributed papers and
a series of afternoon workshops,
the programme for which is given below. These talks
will be of interest especially to high school teachers, with the aim of
providing materials and real data that will be useful in the classroom.
It is necessary for
teachers to register to attend these sessions,
with a deadline for registration of 25 August.
When registering you must include the name of your school.
There is no charge for attending the education sessions only, but there
is a $10.00 charge for lunch. Click here for a copy of the
Education
Day Handout.
AGM
The annual general meeting of the New Zealand Statistical
Association will be held at 4:00 pm after the last session on the first day of the
conference.
Social Events
There will be a reception at the University on Sunday 31st August,
at which registration and complimentary drinks and nibbles will be available
for registrants. There will be a conference dinner
at the Station on the evening of 1st September;
the cost will be $50 per head, which will include some drinks.
Timetable for NZSA2008
Link to pdf file with details for all talks (suitable for printing)
Link to xls file with details for all talks (suitable for searching)
Programme for NZSA2008
Sunday 31 August
| 5:00 - 7:00 |
Registration and Reception |
Monday 1 September
| 9:00 - 9:15
|
Welcome |
| 9:15 - 10:00 |
Keynote Speaker |
| 10:00 - 10:30 |
Morning Tea |
| 10:30 - 12:30 |
Invited Session 1, Contributed Sessions 1a,
1b |
| 12:30 - 1:30 |
Lunch |
| 1:30 - 3:30 |
Contributed Sessions 2a, 2b,
2c |
| 3:30 - 4:00 |
Afternoon Tea |
| 4:00 - 5:00 |
NZSA AGM |
| 5:30 - 6:30 |
Pre-dinner drinks at the
Station |
| 6:30 - |
Conference Dinner at the
Station |
Tuesday 2 September
| 9:00 - 9:15
|
Housekeeping |
| 9:15 - 10:00 |
Keynote Speaker |
| 10:00 - 10:30 |
Morning Tea |
| 10:30 - 12:30 |
Invited Session 1, Contributed Sessions 1a,
1b |
| 12:30 - 1:30 |
Lunch |
| 1:30 - 3:15 |
Invited Session 2, Contributed Sessions
2a, 2b |
| 3:15 - 3:30 |
Presentation of Student Prizes |
| 3:30 - 5:00 |
Afternoon Tea |
Statistics Education Workshops
1. New strengths
in the Curriculum's Statistics: a Workshop
Mike Camden, Statistics New Zealand
The statistics
strand in the Mathematics and Statistics learning area of
the new Curriculum is better designed for enjoyment,
relevance and challenge than the current one. It has strong
structures (like the statistical enquiry cycle, Levels 1 to 8),
and fresh features (like multivariate data from Level 3, and
resampling at Level 8). These structures and features will
eventually make teachers' roles more interesting and easier. We
will relate new structures and features to data and other
resources that students and teachers can access. The contexts
may include txt champions, netball players, dolphins, possums,
paua, cheese, CO2 levels, fuel use, population counts, and the
new NZ Immigration survey. We will focus on this item from Level
8: 'finding, using and assessing appropriate models including
linear regression for bivariate data', and apply John Tukey's
statements about the importance of graphs to it.
2. Growing
Scatterplots
Pip Arnold, Team Solutions, The University of Auckland
This workshop
looks at an introductory activity for scatterplots.
Censusatschool data is used in this activity.
2.30-3.30 pm Session
3. "Making the
call"
Pip Arnold, Team Solutions, The University of Auckland
An introductory
look at starting to "make the call" from the comparison of box
plots in order for students to be able to make informal
inferences about populations from samples.
4. Drawing an
inference from an experiment: Curriculum Level 8
Maxine Pfannkuch, Department of Statistics, The University of
Auckland
In this
workshop we will use the resampling method to assess the
strength of evidence for making a claim when comparing two
designs.
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