1 00:00:01,420 --> 00:00:11,110 ‫We're now going to move onto some muddled writing and muddled writing is May recording me writing alive 2 00:00:11,140 --> 00:00:17,330 ‫so that you can see the whole writing process whilst I describe what I'm thinking. 3 00:00:17,920 --> 00:00:25,560 ‫The muddled writing in this lesson is going to be for some plans for former allies, test questions. 4 00:00:25,750 --> 00:00:35,020 ‫So in this lesson, you will see more examples of plans for Task One questions, and you will better 5 00:00:35,020 --> 00:00:41,320 ‫understand the importance of a good plan and as well, how to write one for yourself. 6 00:00:42,890 --> 00:00:50,480 ‫Before we move on to taking a look at some of the questions and the muddled writing, I'd like to further 7 00:00:50,480 --> 00:01:00,440 ‫describe why I feel that plans are highly important to you getting the best possible score in your writing 8 00:01:00,680 --> 00:01:01,170 ‫task. 9 00:01:01,190 --> 00:01:11,030 ‫One report I'm going to do this by showing you an example of a plan written by an elite seven plus student. 10 00:01:11,420 --> 00:01:21,320 ‫I'm going to read through this plan and see if I can understand what kind of data and visual information 11 00:01:21,560 --> 00:01:23,870 ‫the student has seen. 12 00:01:24,410 --> 00:01:26,810 ‫Let's take a look at the plan now. 13 00:01:27,870 --> 00:01:36,990 ‫Let's begin by taking a look at the top of the students plan, so we have group one, married women, 14 00:01:37,350 --> 00:01:39,920 ‫group two married men. 15 00:01:40,350 --> 00:01:49,470 ‫So I know that the data must include both men and women, married overview, married women, unpaid 16 00:01:49,470 --> 00:01:51,240 ‫hours, unpaid hours. 17 00:01:51,240 --> 00:01:54,710 ‫I'm starting to think of work or employment. 18 00:01:55,050 --> 00:02:01,710 ‫Married women, unpaid hours increases with the children, count with the amount of children. 19 00:02:02,550 --> 00:02:07,590 ‫OK, so I'm still thinking of employment and people having children. 20 00:02:08,100 --> 00:02:10,200 ‫And the next part, married men. 21 00:02:10,200 --> 00:02:16,970 ‫Unpaid hours are almost the same and slightly decreases with three plus children. 22 00:02:17,430 --> 00:02:25,140 ‫So I'm definitely starting to think that the data is showing something about work and children. 23 00:02:25,860 --> 00:02:29,640 ‫And of course, underneath the plan you can see my response. 24 00:02:29,760 --> 00:02:34,730 ‫If you would like to pause the video and have another read, then please do. 25 00:02:35,010 --> 00:02:41,010 ‫But I'm going to move on to taking a look at the data given to the student. 26 00:02:43,230 --> 00:02:51,540 ‫We'll have a read through this question on the right now, the graph below shows the average hours of 27 00:02:51,540 --> 00:02:57,210 ‫unpaid work per week for different categories of people. 28 00:02:57,660 --> 00:03:05,490 ‫Summarize the information by selecting and reporting the main features and make comparisons where relevant. 29 00:03:06,330 --> 00:03:12,700 ‫Let's take a quick look through the visual information and data for this question. 30 00:03:13,020 --> 00:03:19,410 ‫So, as always, starts with the title, which is unpaid work hours per week. 31 00:03:19,920 --> 00:03:27,300 ‫Just below that in red, we have married women and in black we have married men. 32 00:03:28,260 --> 00:03:36,500 ‫Along the Y axis is the amount of unpaid hours per week going from zero to 60. 33 00:03:37,530 --> 00:03:46,560 ‫And along the x axis we have without children with one to two children with three plus children. 34 00:03:47,430 --> 00:03:55,710 ‫Having a quick look at the data presented in red for married women, we can see that the amount of unpaid 35 00:03:55,710 --> 00:04:03,570 ‫hours increases, whereas with men it actually looks like it decreases slightly. 36 00:04:04,230 --> 00:04:11,370 ‫Now we'll return to the plan and see if the student has really understood this information and if they 37 00:04:11,370 --> 00:04:19,350 ‫have a plan that will help them structure their report, beginning with the grouping of married women 38 00:04:19,350 --> 00:04:20,330 ‫and married men. 39 00:04:20,460 --> 00:04:29,580 ‫Yes, I think that that makes perfect sense to split the data and organize our writing into logical 40 00:04:29,760 --> 00:04:32,990 ‫paragraphs and the overview. 41 00:04:33,180 --> 00:04:37,940 ‫Married women, unpaid hours increases with the children account. 42 00:04:38,160 --> 00:04:42,000 ‫Yes, that is also what I saw straight away. 43 00:04:42,570 --> 00:04:50,130 ‫And for married men, married men, unpaid hours are almost the same and slightly decreases with three 44 00:04:50,130 --> 00:04:54,890 ‫plus children, which is something that I noticed straight away. 45 00:04:55,140 --> 00:05:04,500 ‫We can see from the student's example that by creating a plan, firstly, we can easy to understand 46 00:05:04,530 --> 00:05:09,660 ‫the data and visual information given to us on the day of our test. 47 00:05:10,440 --> 00:05:16,300 ‫And secondly, it helps us to think about the structure of our report. 48 00:05:16,560 --> 00:05:21,520 ‫So two very important reasons that I think you should write a plan. 49 00:05:22,450 --> 00:05:25,050 ‫Okay, well done to that student. 50 00:05:25,230 --> 00:05:31,700 ‫It's time for us to move on to our example questions and the model right of plans. 51 00:05:32,070 --> 00:05:34,560 ‫Let's take a look at the first question now. 52 00:05:36,230 --> 00:05:45,110 ‫The line graph shows the production and demand for steel in London over four years, summarize the information 53 00:05:45,110 --> 00:05:51,010 ‫by selecting and reporting the main features and make comparisons where relevant. 54 00:05:51,440 --> 00:05:54,230 ‫So here is our line graph. 55 00:05:54,950 --> 00:05:59,720 ‫Let's take a look at the data shown to us again, starting with the title. 56 00:05:59,990 --> 00:06:07,800 ‫So we have steel production and demand in London to the left on the Y axis. 57 00:06:07,820 --> 00:06:16,640 ‫We have millions of tonnes from two thousand million tonnes all the way to 7000 million tonnes on the 58 00:06:16,640 --> 00:06:18,060 ‫key on the right. 59 00:06:18,080 --> 00:06:25,520 ‫We can see blue steel produced and in orange on the dotted line is the steel demand. 60 00:06:26,030 --> 00:06:32,520 ‫Across the bottom are the four years from 2011 to 2014. 61 00:06:33,320 --> 00:06:40,040 ‫So now that we've had a quick read through the data and we're starting to get an idea of what we are 62 00:06:40,040 --> 00:06:44,740 ‫being shown, it's time for us to move on to creating a plan. 63 00:06:45,500 --> 00:06:47,660 ‫Let's begin our model. 64 00:06:47,660 --> 00:06:48,280 ‫Right. 65 00:06:49,490 --> 00:06:56,780 ‫So the first thing we need to consider is getting our data into two groups. 66 00:06:57,020 --> 00:07:01,830 ‫Now, straight away, I can see we have steel produced and steel demand. 67 00:07:02,060 --> 00:07:06,230 ‫Now, would that make a good group for paragraph three? 68 00:07:06,230 --> 00:07:07,220 ‫Paragraph four? 69 00:07:07,940 --> 00:07:14,510 ‫If we grouped them, we wouldn't be able to easily make comparisons, which, of course, is a big scale 70 00:07:14,510 --> 00:07:16,810 ‫in describing this data here. 71 00:07:17,360 --> 00:07:22,150 ‫So I think the best thing for us to do is to split the groups by year. 72 00:07:22,460 --> 00:07:25,010 ‫So in group one I can have. 73 00:07:26,580 --> 00:07:37,280 ‫Quite simply, 2011 to 2012 and in Group two, which will be my fourth paragraph of reported information, 74 00:07:37,650 --> 00:07:42,800 ‫we will have 2013 to 2014. 75 00:07:44,040 --> 00:07:47,740 ‫Now for the overview section of my plan. 76 00:07:47,770 --> 00:07:56,130 ‫So how can I quickly summarize this data here without giving too many specific facts and figures? 77 00:07:56,340 --> 00:08:01,880 ‫I think I'll go with Espie, which you may know is still produced. 78 00:08:02,130 --> 00:08:06,930 ‫So the overall picture for steel produced is decreased. 79 00:08:09,180 --> 00:08:18,120 ‫Quite highly over time, and then we will have stainless steel demand. 80 00:08:18,150 --> 00:08:27,480 ‫So, generally speaking, dropped here so we can say dropped, although recovered. 81 00:08:28,860 --> 00:08:38,670 ‫Well, so I have ESP, which is still produced overall, steel produced decreased over time, and it 82 00:08:38,670 --> 00:08:45,720 ‫was by quite a large amount, although for the Avivi, we don't need to go into very specific figures. 83 00:08:46,480 --> 00:08:54,390 ‫And then for steel demand, it dropped but then recovered to a reasonable amount. 84 00:08:57,100 --> 00:09:04,480 ‫So there is our first example, question and plan, and that's exactly the process that you will need 85 00:09:04,480 --> 00:09:11,850 ‫to follow when you see the data and you analyze the data and then create your own plan to let. 86 00:09:11,970 --> 00:09:14,410 ‫Let's take a look at one more task. 87 00:09:14,440 --> 00:09:15,730 ‫One example. 88 00:09:18,060 --> 00:09:19,320 ‫Let's read through the question. 89 00:09:19,710 --> 00:09:28,980 ‫The table below shows the percentages of population aged over 65 in three countries summarize the information 90 00:09:28,980 --> 00:09:34,650 ‫by selecting and reporting the main features and make comparisons where relevant. 91 00:09:34,890 --> 00:09:37,490 ‫Let's take a look at that table now. 92 00:09:39,910 --> 00:09:48,340 ‫OK, so we have three countries, Canada, Germany and the U.K., and the three years are nineteen eighty 93 00:09:48,340 --> 00:09:52,690 ‫eight, two thousand and two thousand and twenty five. 94 00:09:52,690 --> 00:09:55,730 ‫So that is a predicted amount. 95 00:09:56,650 --> 00:10:02,200 ‫The percentages are below shewn for three years for each country. 96 00:10:03,520 --> 00:10:06,960 ‫Let's take a quick look at what happens in Canada. 97 00:10:07,150 --> 00:10:13,060 ‫So people aged over 65 in nineteen eighty eight was around 16 percent. 98 00:10:13,660 --> 00:10:18,760 ‫In 2000, it was twenty in two thousand and twenty five or twenty twenty five. 99 00:10:19,030 --> 00:10:21,040 ‫It was twenty six point thirty five. 100 00:10:21,040 --> 00:10:26,020 ‫So we can see every year this amount increases in Germany. 101 00:10:26,020 --> 00:10:30,720 ‫We begin at eighteen, then move to twenty five and 30. 102 00:10:30,730 --> 00:10:39,910 ‫So once again, this is a clear increase in the percentage of people over 65 in the U.K. in nineteen 103 00:10:39,910 --> 00:10:49,450 ‫eighty eight we have 14 percent and in 2000 it only increases very slightly, but it is still an increase. 104 00:10:49,750 --> 00:10:53,970 ‫And in twenty twenty five we have 20 percent. 105 00:10:54,430 --> 00:11:04,120 ‫So everywhere there is an increase in people aged over 65 have now got a quick overall idea of what 106 00:11:04,120 --> 00:11:07,470 ‫is happening in this visual information and data. 107 00:11:07,480 --> 00:11:10,840 ‫So it's time for me to write my plan. 108 00:11:12,100 --> 00:11:19,030 ‫Once again, for a task, one plan, the first thing that I need to consider is the grouping of this 109 00:11:19,030 --> 00:11:25,420 ‫data, splitting the data into two groups to structure my report. 110 00:11:26,000 --> 00:11:31,390 ‫What's interesting about this table is that we have three countries and three years, which are the 111 00:11:31,390 --> 00:11:36,530 ‫obvious ways to split the data because it's an odd number. 112 00:11:36,550 --> 00:11:40,510 ‫It means that our grouping will be on Evett. 113 00:11:41,710 --> 00:11:53,260 ‫I'm going to go with Group one as being 1988 and 2000, and for Group two, I'll go with one year, 114 00:11:53,260 --> 00:11:55,570 ‫which will be twenty twenty five. 115 00:11:56,810 --> 00:12:05,060 ‫There will be more to describe in Group one, and that's because we have all this set of data here and 116 00:12:05,060 --> 00:12:11,820 ‫in Group two, we only have this, but we want the paragraphs and the group descriptions to be equal. 117 00:12:12,080 --> 00:12:14,960 ‫So I will just pick a few features. 118 00:12:15,110 --> 00:12:21,710 ‫Having slightly uneven groupings won't matter much as long as you describe the most important aspects 119 00:12:21,710 --> 00:12:22,730 ‫of the data. 120 00:12:23,390 --> 00:12:27,400 ‫Is now time to have a look at our overview plan. 121 00:12:28,130 --> 00:12:35,990 ‫I think from describing the table earlier, the most important thing that we can describe simply without 122 00:12:35,990 --> 00:12:47,750 ‫going into too much detail is to say overall, people aged over 65 increased in all countries and or 123 00:12:47,750 --> 00:12:48,290 ‫years. 124 00:12:48,830 --> 00:12:56,840 ‫In fact, for my overview paragraph, I may not want to write much more than this for it, although 125 00:12:56,840 --> 00:12:59,720 ‫I could say just to add another sentence. 126 00:12:59,990 --> 00:13:07,520 ‫UK 1988 to 2000 was slight in its increase. 127 00:13:07,520 --> 00:13:13,880 ‫It actually only increased around nought point five percent, which was definitely the lowest amount 128 00:13:13,880 --> 00:13:14,570 ‫of increase. 129 00:13:14,570 --> 00:13:17,480 ‫I could possibly say that in my overview. 130 00:13:18,380 --> 00:13:20,360 ‫So that's all for my plan. 131 00:13:20,360 --> 00:13:21,830 ‫I've grouped the data. 132 00:13:21,830 --> 00:13:27,440 ‫I've analysed the information, so I understand it more and I've created a plan. 133 00:13:28,190 --> 00:13:33,490 ‫And I know that this plan will help me structure a high scoring task. 134 00:13:33,500 --> 00:13:43,850 ‫One report I'm now going to show you a question that I want you to write your own plan for in the Q&A 135 00:13:43,850 --> 00:13:44,480 ‫section. 136 00:13:44,480 --> 00:13:46,880 ‫So let's take a look at that now. 137 00:13:48,270 --> 00:13:56,460 ‫I'm not going to go through the question and go through all the different data and visual information 138 00:13:56,460 --> 00:14:04,920 ‫with you, because I want you to do this practice activity on your own, analyze the data, have a look 139 00:14:04,920 --> 00:14:10,450 ‫and understand the information you are being shown and then write your plan. 140 00:14:10,860 --> 00:14:16,050 ‫Put this in the Q&A section and then we can give each other some feedback. 141 00:14:16,650 --> 00:14:21,450 ‫Best of luck with this practice activity and I'll see you in the next lesson.