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Statistics in the NZ Curriculum Stocktake

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Title: Statistics in the NZ Curriculum Stocktake


1
Statistics in the NZ Curriculum Stocktake
  • Mike Camden
  • NZ Statistical Association Education Committee
  • Mike mike.camden_at_stats.govt.nz
  • NZSA http//www.stat.auckland.ac.nz/nzsa/
  • NZSA Newsletter http//nzsa.rsnz.govt.
    nz/newsletter58

Health warning The views in here belong -
Either to the Stat Assoc Education Committee - Or
to Mike - Or to both. They are not intended as
the views of Statistics New Zealand.
2
Proposed Contents of Session A Club Sandwich
  • Stats in Schools Intros, multchoice test and the
    big ideas
  • Workshop 1 Skills for a Hot Off The Press
  • Background, illustrations, opinions and more
    illustrations
  • Workshop 2 Stats and your Essential Learning
    Area
  • Conclusion The chocolate investigation What Now.

3
Deterministic and Stochastic Thought
  • Greek Stokhastikos Person who aims,
    targets, forecasts Stokhos
    An aim, target
  • English Stochastic involving random
    probability distributions
  • Theres an ELA called
  • MathsMaths and StatsMaths and Stats and
    Probability
  • Theres a bunch of mental tools (Maths) with
    two sides
  • Deterministic thinking and modellingStochastic
    thinking and modelling
  • Theyve both been around since humans stood up,
    started talking and drawing, and invented
    Education!
  • See Paper 8 in http//wwwmaths.anu.edu.au/other/nc
    ms/mathsdocs/Mumford, D (1999). The dawning of
    the age of Stochasticity.

4
Some odd things about Stats
  • Maths has two sides
  • Deterministic and Stochastic
  • Stats (and Probability) is entangled
    with.Language English, Te Reo Maori, the
    othersGraphics and visual communicationContext
    all the ELAsMaths
  • Stats supports active learning in other ELAsvia
    investigations
  • Entangled has two directions .

5
The big questions for this session
  • Three questions
  • 1 How do we build Curriculum so that Stats
    supports your ELA?
  • 2 How do we build Curriculum so that your ELA
    supports Stats?
  • 3 How can Curriculum trigger students into
    enjoying and valuing both your ELA and Stats?
  • JFKs version (with stochastic input) And so,
    my fellow educators, ask not what your ELA can
    do for Stats ask what Stats can do for your
    ELA.

6
A Multichoice Test Q 1 of 3 for Achievement
  • The NZ Stat Assoc Education Committees aim is
  • A Stuff Stats into every crack in the Curriculum
  • B Chuck half the Maths and replace it with Stats
  • C Streamline the Stats and Insert the
    Interconnectivity among ELAs
  • (Yes, I did read the Listener!!)

7
A Multichoice Test Q 2 of 3 for Merit
  • The Essence of Stats is
  • A Weird graphs with kinky names
  • B Weird stuff like s2 S(x m)2/ n
  • C Investigations, contexts, datasets,
    variability, exploration, conclusions,
    communication
  • Which one would look good in the Maths and Stats
    Essence Statement??

8
A Multichoice Test Q 3 of 3 for Excellence
  • Life and the tools we make for enjoying it are
  • A Mostly deterministic
  • B Mostly stochastic
  • C Basically stochastic, but deterministic models
    are often good working approximations.
  • Hint Best answer in each Question is C.

9
Stats in Schools The big ideas 1/3
  • Stats is quite different from the rest of Maths
    (our old theme)and so needs very careful
    treatment
  • Stats and the rest of Maths stand together (our
    new theme)giving stochastic and deterministic
    models of life
  • Stochastic (ie, variable) aspects of life are
    becoming moreobvious technology, environment,
    social policy
  • Some front-end statistical methods are fun,
    commonsense, graphical and suddenly accessible
    to school students
  • Context is hugely important in statistical
    thinking which is where you come in!
  • Stats in the Curriculum must meet the needs of
    the parties to the Treaty of Waitangi

10
Stats in Schools The big ideas 2/3
  • Stats needs careful curriculum links with the
    other Maths strandsthe other essential learning
    areasthe other layers in the Framework
    Principles, Future Focused Themes, Skills,
    Values, AttitudesIs there a literature on this??
  • We need a new engine for Stats curriculum,
    assessment, professional development, resource
    making
  • We need a plan to build capability in Stats
    Pedagogy in NZ
  • The NZ Stats Community is aware, alert, offering
    its insights They want NZ to get the Stats right!

11
Stats in Schools The big ideas 3/3
  • Graphical data exploration (data visualisation)
    is profound, powerful, accessible but takes lots
    of learning (ie, practice with datasets
    yours!!).It must not be seen as trivial!
  • Any Learning Area can link with Stats so that
    both are valued as enjoyable and useful
  • Were at the forefront Dammit!!!

12
A Scalpel for Stats Curriculum Constructors
  • Any investigation has these stages
  • State the purpose, get approval
  • Design and/or plan all aspects of it
  • Collect the data into a Unit Record Dataset
  • Edit/Launder/Clean the dataset with graphs etc
  • Explore and/or analyse the dataset with graphs
    etcJohn Tukey If you havent done a graph,
    then you havent done an
    analysis
  • Summarise the findings/information/conclusions
  • Communicate the Conclusions with words, numbers
    and graphs working together(Edwin Tufte The
    visual display of quantitative information)
  • Lets give up writing Present the Data with
    Graphs forever.

13
Another Scalpel
  • Any dataset that is remotely useful or
    interesting has several related variables
  • We stop pretending that variables ever occur
    alone.
  • We replace bi-variate dataand multi-variate
    data bydataset.
  • This things a Dataset
  • This things a (Frequency) Table

14
Workshop 1 Skills what, where, how
  • See SNZs Hot Off The Press, NZ Income Survey
    June 2003 Quarter 1 Oct 03.
  • Assume we want all NZers to be able to read, use
    and critique things like this.
  • 1 What skills, attitudes and values do they need?
  • Whereabouts do we put these skills etc in the
    Curriculum Framework??
  • What does NZ need, to ensure effective teaching,
    learning and assessment of the skills etc???
  • Are we in the right Industry????(See Table 10
    near the end)

15
The Middle Bit
  • Background, illustrations, opinions, more
    illustrations

16
Some of the Communities of Interest in Maths Ed
  • NZSA, its Education Com, Maths Teachers and
    Curric Makers
  • The intersections are very small.

17
NZ Statistical Association Education Committees
conclusions
  • On Thur 11 Sept 03, the Committee discussed the
    Stocktake
  • at length. Main conclusion it offers to
  • Make input into and review the draft Framework
    document
  • Be part of research projects that would underpin
    curriculum and resource writing
  • Take a leadership role in the writing of the
    Statistics strand of the Curriculum document
  • On Thur 9 Oct, it met with MoE people and
    discussed
  • Making input into Stats in the whole curriculum

18
Health Report for the Statistics Strand in Maths
  • Bone structure mostly good but
  • needs a hip replacement
  • and some physio elsewhere
  • Soft tissue functioning but
  • needs several cut-and-tuck operations,
  • several shots of Botox
  • and a body-building programme at the gym
  • weight-watchers programme not indicated.
  • Badly needs a hair transplant.
  • Socialisation (the main problem for us today)
  • needs a how to win friends and influence
    people course.

19
Biology Part 1 Stats in NCEA Biology Level 3
  • Explanatory Note 7 Recording and processing
  • Data processing would usually involve calcs and
    graphing (Good!) to establish a relevant pattern
    or trend. Stat. procedures, where approp.,
    should be used to establish the reliability (??)
    of the data e.g. mean, standard deviation,
    confidence intervals, standard error, difference
    between two means, ANOVA (??), Chi squared
    test(??).
  • Sufficient data involves repeats, trials,
    appropriate range for the independent variable
    (Exp Design??), appropriate samp size.
  • Systematically record means data will be
    presented in a way (eg table, tally chart) that
    allows it to be interpreted without reference to
    the method. (??)
  • See NZSA Newsletter Sept 03 Gwenda Hill Stats
    more advanced (more mathematical?) in Biology
    than in Maths for NCEA L3

20
Biology Part 2 Views of senior NZ biometricians
  • Ian Westbrooke Dept of Conservation NZSA Conf
    Jul 03
  • Staffs (university) stats education has been on
    hypothesis tests and ANOVAs.
  • What they need isconfidence intervals that can
    lead to management decisions, and Exploratory
    Data Analysis (with graphs)
  • Harold Henderson, Agresearch NZAMT8 Jul
    03(Bevan Werry speech)
  • Powerful new methods of data visualisation
    produce a new frontier of data analysis.
    Visualisation tools provide deep insight into the
    structure of data. Dynamic statistical graphics
    are now widely available.
  • Using these, the internal components of NCEA (L3)
    statistics can be presented by students in ways
    that are relevant, up-to-date and easy to
    understand.

21
Biology Part 3 the morals
  • What we can and should do in Stats is changing
    profoundly and fast
  • How do we assure Statistics (and Maths) their
    most useful places in all the learning areas?
  • How can we make the NZ Curriculum Engine produce
    21st century objectives??

2007
22
The fun of the fair
  • Reflections on the Wellington Science Fair
  • Impressive statistics from 8 of the 400 Year 7
    and 8 people
  • The essence of statistical quality for statistics
    judgesdesignreplicationgraphs that show
    variabilityconclusions
  • Science, years 7 and 8, seems to do much of the
    Experimental Design that has been removed from
    our NCEA L3!
  • But we dont provide the commonsense graphic
    tools needed.
  • Reflections on the Canterbury and W Coast Science
    Fair
  • Winners had their raw data well displayed, and
    were able to deal with its variability.

23
The Point of Inflection in Maths Education History
  • Statistics is very different from the rest of
    Maths in
  • Its rate of change and its age(it is embryonic
    or possibly adolescent)
  • The contexts and ways in which it gets used(and
    therefore the ways it can be valued)
  • The way in which todays complex world of
    technology and social needs depends on it
  • The ways it can be taught, learned and
    assessed(the pedagogy. And the pedagogues!!)
  • The ways in which it uses computer technology
  • The ways it can be integrated with other learning
    areas
  • Teacher confidence, professional development
    needs and resource needs, in Maths and other ELAs

24
Rabid Opinions 1 of 2
  • ValuesStats is founded on a Valueinformation-ba
    sed decision-making.
  • Curriculum and Assessment for StatsWe must make
    sure the engine pulls the carriage, and not the
    other way round.
  • A fourth stage in Statistical education??Stage
    1 Traditional (what we got, and forgot!)Stage
    2 Reformed (Data and EDA-based)Stage 3
    Transformed (Value-based)Stage 4 Blossoming!!
    (Real issues, great data, dynamic
    software. It really is
    new.)
  • Stats and Maths thinking are different stats
    cant be taught as is it were maths

25
Rabid Opinions 2 of 2
  • Hardware and Software Weve got to have itIn
    biology, chemistry, physics, geography, cooking,
    clothing, PE, , students use the real tools and
    materials of the subject.So must Stats!The
    tools are the computer hardware and softwareThe
    materials are the datasets from the other ELAs.
  • Students enjoy hands-on work with data, owning
    projects and completing investigations
  • The Forefront in Stats educationNZ was there,
    but is now lagging behind.We need to address
    this, with your help
  • The Essential Skill Numeracy needs to stay, andto
    be enhanced with Stat Reasoning, Thinking and
    Literacy.

26
Tupaia and James
  • Oct 1769 the Endeavour sails from Tahiti to NZ.
  • Tupaia and James are both strong
    on..HistoryLanguageGraphicsMaths applied to
    navigation (Tupaia with sun, stars, wind,
    swells, clouds, birds and stochastic logic)
    (James with chronometer, sextant, logs and
    deterministic logic)Stats applied to
    demography (Tupaia estimated the size of
    military groups, James extrapolated to
    estimate the population of Tahiti)
  • There are two heritages.

27
Equity, Ethnicity and Intervention
  • A country has 2 Ethnicities,
  • A (the majority) and B.
  • The results of a survey are shown.
  • Is there equity in income?
  • If not, where should interventions be applied??
  • What subject is this???
  • (This happens!!)

28
Quakes and Spins
  • In the past, earthquakes were seen as stochastic
    in space and time (and nasty)
  • Now, we havelarge qnd classy datasetssoftware
    that can let us look into the datas
    structurevisualisation skillsand all these are
    available to schools.

  • an Excel interlude.

29
Workshop 2 Stats and your Essential Learning
Area
  • Please team up with people from your ELA or with
    similar interests.
  • Think up an investigation with a dataset in it.
  • What Curriculum Level does it belong at?
  • What statistical skills does it cal on?
  • How do we get the skills and the links into
    curriculum documents?
  • Or.. Go back to Equity, Ethnicity and
    Interventionslide 26.

30
Conclusions 1/5Into a blossoming future
for Maths and Stats Ed
  • Theres a sea of information on
    statisticalcurriculumpedagogyteacher
    supportresources (including software)assessment
    .
  • We need to take a swim into it!
  • It includesICOTS conferences (next Brazil
    2006)Online and free SERJ and JSEIASE
    Roundtable (Jul 2005 Sweden). On
    CurriculumTeaching StatisticsAmerican
    Statistician, May 03 Special Section on Stat Ed

31
Conclusions The Good Stuff 2/5
  • Current curriculum has some outstanding
    strengthsthe focus on Investigationsthe
    progression through investigation types and
    variable types.
  • We cant lose that.
  • But we cant rest on our laurelsStatistics has
    moved a huge distance since the mid 1980s.The
    Links have yet to be createdThere are
    conversations that have only just started.
  • Theres progress in the draftMaths and Stats
    Essence Statement

32
Conclusions The New Stats Strand 3/5
  • This time, it wont be built top-down and in a
    hurry.
  • The statistical community must be enabled to
    take leadership to work on it with all parties
    teachers at all levels curriculum experts.
  • Quality must be designed init cant be patched
    in at the bottom of the cliff.
  • This is a great opportunity!

33
Conclusion Research, Resources, PD
4/5
  • Were impressed by the care, expertise and work
    that went into Numeracy.
  • Wed like an effort modelled on this for StatsA
    scan of the sea of recent researchcurriculum
    analysisresource production, for stats
    within maths stats everywhere else at
    largeresearch into how professional development
    can be best designedsupport for teachers at
    every stage.
  • Itll need fresh work on how to get
    Interconnectedness

34
Conclusions For Statistics to blossom 5/5
  • We need to build capability in teaching
    (content and pedagogy) teacher education and
    support (pre and inservice) resource
    production curriculum design assessment
    design research in all the above
  • We need careful construction of Links.
  • We need a new engine for leading statistical
    education!
  • We all need each other!!!

35
NZ, with Quakes and 4 Main Centres shown
A
C
D
36
Quakes Depth vs Distance SouthEast of Wgtn
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