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      <title>Statistics 3 by Mr Downes&#39; Padlets</title>
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      <pubDate>2020-08-21 15:57:14 UTC</pubDate>
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         <title>real world</title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692514838</link>
         <description><![CDATA[<div>While you can find the mode of a set of numbers (just like you can find the <a href="https://www.bossmaths.com/s4a">median</a> and <a href="https://www.bossmaths.com/s4b">mean</a>), the mode is useful because it makes sense for “nominal data” too. For example, you could find the modal colour of car, or the modal dessert in a restaurant – but you wouldn’t be able to find the median or mean in these cases. Sometimes we don’t need to know all of the information about a dataset. A restaurant may not be interested in the exact numbers of each dessert sold, but might be interested in what is most popular to make sure it doesn’t run out of ingredients for that dessert.</div>]]></description>
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         <pubDate>2020-08-21 22:11:55 UTC</pubDate>
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         <pubDate>2020-08-21 22:13:04 UTC</pubDate>
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         <pubDate>2020-08-21 22:13:06 UTC</pubDate>
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         <pubDate>2020-08-21 22:13:07 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
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         <title></title>
         <author>rdownes</author>
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         <pubDate>2020-08-21 22:13:07 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692515718</link>
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         <pubDate>2020-08-21 22:13:08 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692516271</link>
         <description><![CDATA[]]></description>
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         <pubDate>2020-08-21 22:13:47 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
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         <pubDate>2020-08-21 22:14:13 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692517435</link>
         <description><![CDATA[<div><br>Chelsea’s positions in the Premier League from 2012 to 2016 were: 6, 3, 3, 1, 10.<br>Arsenal’s positions in the Premier League from 2012 to 2016 were: 3, 4, 4, 3, 2.<br><br></div><div><br>Which team enjoyed the greater success? Which team suffered the lower dips in performance? What was the range in finishing positions for each of the two teams? Which team would you say was more consistent over the five year period?<br><br></div>]]></description>
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         <pubDate>2020-08-21 22:15:14 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692518208</link>
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         <pubDate>2020-08-21 22:16:18 UTC</pubDate>
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         <title></title>
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         <title></title>
         <author>rdownes</author>
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         <pubDate>2020-08-21 22:16:18 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
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         <pubDate>2020-08-21 22:16:18 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692518216</link>
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         <pubDate>2020-08-21 22:16:18 UTC</pubDate>
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      <item>
         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692518657</link>
         <description><![CDATA[]]></description>
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         <pubDate>2020-08-21 22:16:55 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692520342</link>
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         <pubDate>2020-08-21 22:19:17 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
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         <pubDate>2020-08-21 22:19:18 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
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         <pubDate>2020-08-21 22:19:18 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692520360</link>
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         <pubDate>2020-08-21 22:19:18 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692521207</link>
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         <pubDate>2020-08-21 22:20:13 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692522372</link>
         <description><![CDATA[<div>Big data is a buzz phrase across many industries with implications for accountants, engineers of driverless cars, health professionals, producers of online content and advertisers – as raised in this quick overview:</div>]]></description>
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         <pubDate>2020-08-21 22:21:55 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692523039</link>
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         <pubDate>2020-08-21 22:22:42 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692523054</link>
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         <pubDate>2020-08-21 22:22:43 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692523088</link>
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         <pubDate>2020-08-21 22:22:46 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692523101</link>
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         <pubDate>2020-08-21 22:22:47 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692523110</link>
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         <pubDate>2020-08-21 22:22:47 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692525215</link>
         <description><![CDATA[<div> This topic is covered in lessons <a href="https://www.bossmaths.com/s4a">S4a</a>, <a href="https://www.bossmaths.com/s4b">S4b</a>, <a href="https://www.bossmaths.com/s4c">S4c</a>, <a href="https://www.bossmaths.com/s4d">S4d</a>, <a href="https://www.bossmaths.com/s4e">S4e</a> and <a href="https://www.bossmaths.com/s4f">S4f</a>.</div>]]></description>
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         <pubDate>2020-08-21 22:25:33 UTC</pubDate>
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         <title></title>
         <author>rdownes</author>
         <link>https://padlet.com/rdownes/statistics3/wish/692525595</link>
         <description><![CDATA[<div>One fascinating—and disturbing—observation from the 20th century was the link between childhood exposure to lead and crime rates. You’ve probably heard of unleaded petrol but for much of the 20th century, cars ran on petrol with lead additives. Emissions from cars and from other sources caused a rise in lead being ingested by children, and around twenty years later, higher crime rates were observed. As leaded petrol was phased out, crime rates fell. What was particularly interesting is that different parts of the world banned leaded petrol at different times, and crime only around 20 years after the peak of lead emissions did violent crime rates start to fall. Does this strong correlation imply a causation? <a href="http://www.bbc.co.uk/news/magazine-27067615">Here</a> is a BBC article, and below is an Australian documentary on the subject:</div>]]></description>
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         <pubDate>2020-08-21 22:26:07 UTC</pubDate>
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         <author>rdownes</author>
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         <pubDate>2020-08-21 22:27:36 UTC</pubDate>
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         <author>rdownes</author>
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         <pubDate>2020-08-21 22:27:36 UTC</pubDate>
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         <author>rdownes</author>
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         <pubDate>2020-08-21 22:27:38 UTC</pubDate>
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         <pubDate>2020-08-21 22:33:13 UTC</pubDate>
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