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  <last_published>2013-01-22T17:56:13</last_published>
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&lt;mdoxml version=&quot;1.0&quot;&gt;&lt;h3&gt; &lt;mdo:image alt=&quot;adding data elements to a Venn diagram&quot; src=&quot;ProbLaunch-website3.png&quot; style=&quot;width: 265px; height: 300px; margin: 10px; float: right;&quot;&gt;&lt;/mdo:image&gt;&lt;br&gt;&lt;/br&gt;
&quot;Probability is fantastic!&quot;&lt;/h3&gt;
&lt;br&gt;&lt;/br&gt;
Perhaps not the usual reaction!  But this was the heading of a forum post written by a South African teacher who met our resources recently.&lt;br&gt;&lt;/br&gt;
&lt;br&gt;&lt;/br&gt;
So what&amp;#39;s different about our approach:&lt;br&gt;&lt;/br&gt;
&lt;ul&gt;
&lt;li&gt;we start from a problem, not from a technique&lt;/li&gt;
&lt;li&gt;the progression is from the empirical to the theoretical, with the formal aspects of the curriculum introduced through the problems&lt;/li&gt;
&lt;li&gt;we start each problem with an experiment (using eg. multi-link cubes, specially adapted dice, as well as counters, numbered dice and coins) so that in watching the data accumulate, then analysing it, students can gain a sense of what is happening before being asked to make predictions (which are so often totally ill-informed)&lt;/li&gt;
&lt;li&gt;where dice are used in a model, data is typically collected from 36 trials to make the initial analysis transparent, and so that it is straight-forward to compare what actually happens with what we expect to happen&lt;/li&gt;
&lt;li&gt;&lt;mdo:image alt=&quot;practical 2-way table&quot; src=&quot;ProbLaunch-website1.png&quot; style=&quot;width: 300px; height: 171px; margin: 10px; float: right;&quot;&gt;&lt;/mdo:image&gt;data is recorded on a tree diagram and a 2-way table, using natural frequencies (whole numbers)&lt;/li&gt;
&lt;li&gt;we progress from what happened in the experiment (collating data from all groups in a classroom) to what we would expect to happen&lt;/li&gt;
&lt;li&gt;we then progress from expectation,  expressed as a proportion of the number of trials, to probabilities expressed as fractions, using a tree diagram to derive the multiplication rule&lt;/li&gt;
&lt;/ul&gt;
We have a collection of resources which can be used as a basis for the whole of the probability curriculum for 11-16 year-old students, which will take them from a first introduction right through to independent and dependent probabilities, and conditional probability.  In addition, we have a further set of problems providing a wider range of contexts in which students can investigate the
mathematisation of probability and allied topics.&lt;br&gt;&lt;/br&gt;
&lt;br&gt;&lt;/br&gt;
All the resources are based on interesting experimental contexts, which model real-life contexts:&lt;br&gt;&lt;/br&gt;
&lt;br&gt;&lt;/br&gt;
&lt;div&gt; &lt;/div&gt;
&lt;div style=&quot;margin-left: 40px;&quot;&gt;&lt;a href=&quot;http://nrich.maths.org/9546&quot;&gt;Which team will win?&lt;/a&gt; - introducing tree diagrams and the method of collecting data which is then interpreted in terms of what we would expect if we could collect enough data&lt;br&gt;&lt;/br&gt;
&lt;a href=&quot;http://nrich.maths.org/9525&quot;&gt;The dog ate my homework&lt;/a&gt; - building on this, expressing expected results in the form of proportions, and hence answering questions about how likely an event is&lt;br&gt;&lt;/br&gt;
&lt;a href=&quot;http://nrich.maths.org/9840&quot;&gt;Who is cheating?&lt;/a&gt; - from expected results to probabilities in the form of fractions, and the multiplication rule (and onto conditional probability)&lt;br&gt;&lt;/br&gt;
&lt;a href=&quot;http://nrich.maths.org/9843&quot;&gt;Being Representative&lt;/a&gt; - from experiment to sampling with and without replacement&lt;br&gt;&lt;/br&gt;
 &lt;/div&gt;
&lt;div style=&quot;text-align: center;&quot;&gt;&lt;mdo:image alt=&quot;flow chart of curriculum resources&quot; src=&quot;curriculum_resources.png&quot; style=&quot;width: 600px; height: 398px;&quot;&gt;&lt;/mdo:image&gt;&lt;/div&gt;
&lt;div&gt;&lt;br&gt;&lt;/br&gt;
&lt;br&gt;&lt;/br&gt;
We have a further set of resources which provide additional contexts for exploring the mathematisation of uncertainty and risk: &lt;/div&gt;
&lt;div style=&quot;text-align: center;&quot;&gt;&lt;br&gt;&lt;/br&gt;
 &lt;/div&gt;
&lt;div style=&quot;margin-left: 40px;&quot;&gt;&lt;a href=&quot;http://nrich.maths.org/9601&quot;&gt;The Wisdom of the Crowds&lt;/a&gt; - exploring averages in the context of skewed data, histograms&lt;br&gt;&lt;/br&gt;
&lt;a href=&quot;http://nrich.maths.org/9685&quot;&gt;How confident are you?&lt;/a&gt; - testing people&amp;#39;s confidence levels&lt;br&gt;&lt;/br&gt;
&lt;a href=&quot;http://nrich.maths.org/9609&quot;&gt;Capture and re-capture&lt;/a&gt; - proportional reasoning through sampling&lt;br&gt;&lt;/br&gt;
Luigi&amp;#39;s Ice Cream Business (still being worked on) - what effect does risk have on assessment of likely outcomes&lt;br&gt;&lt;/br&gt;
To insure or not to insure (still being worked on) - risk from the perspective of the owner of a mobile phone and a company that wants to make money out of insurance&lt;/div&gt;
&lt;br&gt;&lt;/br&gt;
&lt;div style=&quot;text-align: center;&quot;&gt;&lt;mdo:image alt=&quot;supplementary probability resources&quot; src=&quot;ProbLaunch_SupplementaryResources.png&quot; style=&quot;width: 500px; height: 356px;&quot;&gt;&lt;/mdo:image&gt;&lt;/div&gt;&lt;/mdoxml&gt;</indexXML>
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  <title>Probability from Problems: a \new \approach to \teaching \probability</title>
  <description></description>
  <spec_group>jag55
    <specifier>Probability - modelling approach</specifier>
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