<body><script type="text/javascript"> function setAttributeOnload(object, attribute, val) { if(window.addEventListener) { window.addEventListener('load', function(){ object[attribute] = val; }, false); } else { window.attachEvent('onload', function(){ object[attribute] = val; }); } } </script> <div id="navbar-iframe-container"></div> <script type="text/javascript" src="https://apis.google.com/js/platform.js"></script> <script type="text/javascript"> gapi.load("gapi.iframes:gapi.iframes.style.bubble", function() { if (gapi.iframes && gapi.iframes.getContext) { gapi.iframes.getContext().openChild({ url: 'https://www.blogger.com/navbar.g?targetBlogID\x3d23069377\x26blogName\x3dOdblog\x26publishMode\x3dPUBLISH_MODE_BLOGSPOT\x26navbarType\x3dBLUE\x26layoutType\x3dCLASSIC\x26searchRoot\x3dhttps://geodonn.blogspot.com/search\x26blogLocale\x3den_GB\x26v\x3d2\x26homepageUrl\x3dhttp://geodonn.blogspot.com/\x26vt\x3d8160912104340948054', where: document.getElementById("navbar-iframe-container"), id: "navbar-iframe" }); } }); </script>

Odblog

A weblog designed to share Geography resources with students and colleagues

Sunday, October 05, 2008

Lesson 1: Chi Square Test for Advanced Higher

Categories: Advanced Higher
We're going to have a go at another stats techniques tomorrow, this time a chi square test. I think it's worth pointing out that last year I collected a lot of statistics links on my del.icio.us page, and it would be worth your while having a look at this. So, first up, we're going to forget numbers and go back to the familiar-glaciated landscapes. Mapping landforms. Corries. I think there are plenty of O.S. maps that would do the job for this, but it's really important that the map has at least 20 corries- maybe something like Keswick. Would we have any expectations about the direction these corries would be facing? We'll then identify the corries and the direction they are facing.
Second- let's record some frequencies- not percentages. Use a protractor or a compass and work out the angles, make a quick table with four categories just like in this example. Right, now come the stats bit- a run through of this powerpoint, then putting this into practice on your own frequencies. This example will probably not be familiar to one that you would encounter in your own study's given our geographical location, but the technique is one that can easily be used in human geography- comparing the quality of shops, or the building type in two locations, for instance.

0 Comments:

Post a Comment

<< Home