Material for trialling - 2009 - project supported by funding from Teaching and Learning Research Initiative (TLRI)
S5-1 Plan and conduct surveys and experiments using the statistical enquiry cycle:
A determining appropriate variables and measures
B considering sources of variation
C gathering and cleaning data
D using multiple displays, and re-categorising data to find patterns, variations, relationships, and trends in multivariate data sets
E comparing sample distributions visually, using measures of centre, spread, and proportion
F presenting a report of findings.

Initial ideas for lesson sequence
Introduction
Reflection on year 9 work
PPDAC cycle
Introduce C@S data set
Setting up the context
Lesson Plan Lesson 1.doc
Data cards year10posing.xls
Entire data set as Fathom file yr10posing.ftm
Questionnaire 2009questionsc@s.doc
Unpack variables OHTunpackvariables.doc
Followup questions from Marina's class posedInvQs.doc
Posing Investigative Questions
Using questions from first session
Classification of questions
What makes a good question (level 4 ideas)?
Lesson Plan Lesson 2.doc
Station cards making-measures-stations.doc
Single distribution descriptions
Summary type questions
Measurement data
Developing framework for describing graphs and other displays, have set up so that the graphs can be glued into students books as an alternative.
Lesson Plan lesson3.doc
"Posters" summarydescription.doc
graphs graphssummary.doc
Comparison descriptions
Comparison type questions
Using dot plots
Developing framework for describing graphs and other displays
Lesson Plan lesson4.doc
"Posters" comparisondescriptions.doc
pdf - check labels on vertical axis, should be boys on top, girls on bottom comparisondescriptions.pdf
graphs for student books
graphscomparison.doc
graphscomparison.pdf
Introducing sampling
Concepts of population, sample
Pose investigative questions about populations - comparison situations
Lesson Plan Lesson 5.doc
KarekareCollegedatacards.xls
KarekareCollege.doc
karekarecollege.ftm
gridpopliteal.doc
Sampling/Informal inferential reasoning
Taking samples to explore summary and comparison questions.
Describing samples
Compare and contrast with other samples from same population.
Lesson Plan lesson6.doc
Analysis - Intro to box plots
Introduction to middle and spread.

Lesson plan lesson7.doc
Describing box plots
Drawing box plots from dot plots
Five number summaries. Developing framework for describing box plots
Making inferences back to the population(s) from box and dot plots
Lesson Plan lesson8.doc
Fathom (or other software)
Introduction to using Fathom
Drawing dot plots, box plots, getting summary tables
Describing graphs
Lesson Plan lesson9.doc
boysgirls.ftm
juniorsenior.ftm
buswalk.ftm
Multiple samples from one population
What does the overall picture tell us?
heights or time traveled to school
lesson10.doc
Movie heights Karekaremovie.ftm
Movie timetravel Karekaremovie2.ftm
Making the call
Developing concepts to help make the call for comparison situations
Movie motor and walk time to school Karekaremoviecarwalk.ftm
Movie motor and bus time to school Karekaremoviecarbus.ftm
Movie popliteal length, gender Karekaremoviepopliteal.ftm
Movie bag weight, gender Karekaremoviebagweight.ftm
Conclusions
Writing conclusions for comparison situations
Completing the cycle
Various activities created
Household Income survey - multiples samples from same population
wagesalary.pdf; wagesalary.doc
Posing questions practice posingquestionspractice.doc
Correcting and sorting questions practice correctingquestions.doc
Cell phone question: single sample, make the call cellphone ownership.pdf; cellphone ownership.doc
Introducing relationship situations
Growing scatterplots
Developing framework for describing scatterplots
Scatterplots
Posing investigative questions - relationship situations
Exploring using Fathom
Developing framework for describing scatterplots
yr10posing.ftm
karekarecollege.ftm
Further scatterplots
Statistical literacy
What ideas have we worked with that we need to consider when looking at others work?
Paul Cobb activity
Developing framework for statistical literacy
Critiquing others reports
Working with reports done by others, critique all aspects of the statistical enquiry cycle.
Misleading displays