Selecting Key Features

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Welcome back everybody. Now in this lecture lecture 10 we’re going to think about selecting data and making comparisons. Basically choosing which data to discuss in your response. Now this lecture is really kind of about trying to make sure that we address all the task requirements and as a result we need to have a look at the band descriptors again. So when we look at the band descriptors we see these two requirements for achieving band seven covers the requirements of the task clearly presents and highlights key features. This leads us to two questions. What are the requirements of the task and how do we choose which features are most important. Which features are key features. Let’s look at the first question covers the requirements of the task. So one convenience aspect of Task One is that the task requirements are always the same at least from one perspective. So you should recognize this statement summarize the information by selecting and reporting the main features and make comparisons where relevant. Now this directive is written in each and every task one question. But notice this. Select and report the main features that’s in the task clearly presents and highlights key features and the bad descriptors. Therefore when you select and report the main features you are actually addressing Tupou bad script to requirements and that is why doing so is absolutely vital to your school let’s have a look at an example we’ve got this graph here is Barshop based on air conditioning units bought in two countries. What are the key features of this graph where the key features of graphs with the trend of the turning points and the start and end points. Let’s have a look at that in more detail. Consider the UK here it’s starting figure is roughly four point four thousand. It’s turning point so where it changes direction is in July about four point 7000. Its endpoint is around no point 1000 way down there in October. Now these are the key features for the U.K. and they really should be reported. They should not be missed out. And the same is true of Australia other key features are the highest and lowest points of the grass. Now interestingly the month of October sees both of these features at the same time the high points of digraph for Australia’s figure and the low points at the graph for the U.K.’s figure that’s worth mentioning as well mention that it’s interesting that they’re both in the same month. But what should we not talk about when selecting data. What’s very important that we don’t waste time talking about features which are not important and what are those. Well what do you think which figures in the graph do you think are not important to mention. What we do not need to mention any figures which do not have an interesting feature about them such as a start point or an end point to repeat Kirylo or an identical opposing figure like in May. Therefore we do not need to discuss for example the ukase June figure Australia’s September figure. These are not important pieces of information to describe and partly there described in the way we talk about the trends in the overview view anyway. So to recap here if you’re looking at a graph with the trend to make sure you’re only selecting the star points the endpoints the peaks the lows the identical figures and features like that. What about the other directive in the task requirements make comparisons where relevant what are relevant comparisons. So a striking difference in data is a key feature of the graph or the chart. So again here we are covering multiple requirements. The most relevant comparisons are those which look at the most and the least of things you mentioned kind of in the previous lecture as well looking at trends. Now with a graph like this where there is not much data to cover you may as well try to cover all of the data and there should be no figures left out that means that there is no chance that you haven’t covered key features. However you do need to select your comparisons carefully. For example we wouldn’t compare heating with appliances charging and lighting that appliances with heating charging and lighting and so on it would just take far too much time. So try to chunk the data what I mean by this is that you should compare renewable and non renewable sources for example chunk those together compared the most with the least compare start points and end points. And remember to include the figures. That is absolutely crucial when you are selecting data a few detailed paragraphs and although this is a short lecture which kind of just gives a very basic look out which features are the most important to mention in your task home response. We will be looking in much more detail at the idea of detail paragraphs in the following section.

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