‫We're now going to move onto some muddled writing and muddled writing is May recording me writing alive
‫so that you can see the whole writing process whilst I describe what I'm thinking.
‫The muddled writing in this lesson is going to be for some plans for former allies, test questions.
‫So in this lesson, you will see more examples of plans for Task One questions, and you will better
‫understand the importance of a good plan and as well, how to write one for yourself.
‫Before we move on to taking a look at some of the questions and the muddled writing, I'd like to further
‫describe why I feel that plans are highly important to you getting the best possible score in your writing
‫task.
‫One report I'm going to do this by showing you an example of a plan written by an elite seven plus student.
‫I'm going to read through this plan and see if I can understand what kind of data and visual information
‫the student has seen.
‫Let's take a look at the plan now.
‫Let's begin by taking a look at the top of the students plan, so we have group one, married women,
‫group two married men.
‫So I know that the data must include both men and women, married overview, married women, unpaid
‫hours, unpaid hours.
‫I'm starting to think of work or employment.
‫Married women, unpaid hours increases with the children, count with the amount of children.
‫OK, so I'm still thinking of employment and people having children.
‫And the next part, married men.
‫Unpaid hours are almost the same and slightly decreases with three plus children.
‫So I'm definitely starting to think that the data is showing something about work and children.
‫And of course, underneath the plan you can see my response.
‫If you would like to pause the video and have another read, then please do.
‫But I'm going to move on to taking a look at the data given to the student.
‫We'll have a read through this question on the right now, the graph below shows the average hours of
‫unpaid work per week for different categories of people.
‫Summarize the information by selecting and reporting the main features and make comparisons where relevant.
‫Let's take a quick look through the visual information and data for this question.
‫So, as always, starts with the title, which is unpaid work hours per week.
‫Just below that in red, we have married women and in black we have married men.
‫Along the Y axis is the amount of unpaid hours per week going from zero to 60.
‫And along the x axis we have without children with one to two children with three plus children.
‫Having a quick look at the data presented in red for married women, we can see that the amount of unpaid
‫hours increases, whereas with men it actually looks like it decreases slightly.
‫Now we'll return to the plan and see if the student has really understood this information and if they
‫have a plan that will help them structure their report, beginning with the grouping of married women
‫and married men.
‫Yes, I think that that makes perfect sense to split the data and organize our writing into logical
‫paragraphs and the overview.
‫Married women, unpaid hours increases with the children account.
‫Yes, that is also what I saw straight away.
‫And for married men, married men, unpaid hours are almost the same and slightly decreases with three
‫plus children, which is something that I noticed straight away.
‫We can see from the student's example that by creating a plan, firstly, we can easy to understand
‫the data and visual information given to us on the day of our test.
‫And secondly, it helps us to think about the structure of our report.
‫So two very important reasons that I think you should write a plan.
‫Okay, well done to that student.
‫It's time for us to move on to our example questions and the model right of plans.
‫Let's take a look at the first question now.
‫The line graph shows the production and demand for steel in London over four years, summarize the information
‫by selecting and reporting the main features and make comparisons where relevant.
‫So here is our line graph.
‫Let's take a look at the data shown to us again, starting with the title.
‫So we have steel production and demand in London to the left on the Y axis.
‫We have millions of tonnes from two thousand million tonnes all the way to 7000 million tonnes on the
‫key on the right.
‫We can see blue steel produced and in orange on the dotted line is the steel demand.
‫Across the bottom are the four years from 2011 to 2014.
‫So now that we've had a quick read through the data and we're starting to get an idea of what we are
‫being shown, it's time for us to move on to creating a plan.
‫Let's begin our model.
‫Right.
‫So the first thing we need to consider is getting our data into two groups.
‫Now, straight away, I can see we have steel produced and steel demand.
‫Now, would that make a good group for paragraph three?
‫Paragraph four?
‫If we grouped them, we wouldn't be able to easily make comparisons, which, of course, is a big scale
‫in describing this data here.
‫So I think the best thing for us to do is to split the groups by year.
‫So in group one I can have.
‫Quite simply, 2011 to 2012 and in Group two, which will be my fourth paragraph of reported information,
‫we will have 2013 to 2014.
‫Now for the overview section of my plan.
‫So how can I quickly summarize this data here without giving too many specific facts and figures?
‫I think I'll go with Espie, which you may know is still produced.
‫So the overall picture for steel produced is decreased.
‫Quite highly over time, and then we will have stainless steel demand.
‫So, generally speaking, dropped here so we can say dropped, although recovered.
‫Well, so I have ESP, which is still produced overall, steel produced decreased over time, and it
‫was by quite a large amount, although for the Avivi, we don't need to go into very specific figures.
‫And then for steel demand, it dropped but then recovered to a reasonable amount.
‫So there is our first example, question and plan, and that's exactly the process that you will need
‫to follow when you see the data and you analyze the data and then create your own plan to let.
‫Let's take a look at one more task.
‫One example.
‫Let's read through the question.
‫The table below shows the percentages of population aged over 65 in three countries summarize the information
‫by selecting and reporting the main features and make comparisons where relevant.
‫Let's take a look at that table now.
‫OK, so we have three countries, Canada, Germany and the U.K., and the three years are nineteen eighty
‫eight, two thousand and two thousand and twenty five.
‫So that is a predicted amount.
‫The percentages are below shewn for three years for each country.
‫Let's take a quick look at what happens in Canada.
‫So people aged over 65 in nineteen eighty eight was around 16 percent.
‫In 2000, it was twenty in two thousand and twenty five or twenty twenty five.
‫It was twenty six point thirty five.
‫So we can see every year this amount increases in Germany.
‫We begin at eighteen, then move to twenty five and 30.
‫So once again, this is a clear increase in the percentage of people over 65 in the U.K. in nineteen
‫eighty eight we have 14 percent and in 2000 it only increases very slightly, but it is still an increase.
‫And in twenty twenty five we have 20 percent.
‫So everywhere there is an increase in people aged over 65 have now got a quick overall idea of what
‫is happening in this visual information and data.
‫So it's time for me to write my plan.
‫Once again, for a task, one plan, the first thing that I need to consider is the grouping of this
‫data, splitting the data into two groups to structure my report.
‫What's interesting about this table is that we have three countries and three years, which are the
‫obvious ways to split the data because it's an odd number.
‫It means that our grouping will be on Evett.
‫I'm going to go with Group one as being 1988 and 2000, and for Group two, I'll go with one year,
‫which will be twenty twenty five.
‫There will be more to describe in Group one, and that's because we have all this set of data here and
‫in Group two, we only have this, but we want the paragraphs and the group descriptions to be equal.
‫So I will just pick a few features.
‫Having slightly uneven groupings won't matter much as long as you describe the most important aspects
‫of the data.
‫Is now time to have a look at our overview plan.
‫I think from describing the table earlier, the most important thing that we can describe simply without
‫going into too much detail is to say overall, people aged over 65 increased in all countries and or
‫years.
‫In fact, for my overview paragraph, I may not want to write much more than this for it, although
‫I could say just to add another sentence.
‫UK 1988 to 2000 was slight in its increase.
‫It actually only increased around nought point five percent, which was definitely the lowest amount
‫of increase.
‫I could possibly say that in my overview.
‫So that's all for my plan.
‫I've grouped the data.
‫I've analysed the information, so I understand it more and I've created a plan.
‫And I know that this plan will help me structure a high scoring task.
‫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
‫section.
‫So let's take a look at that now.
‫I'm not going to go through the question and go through all the different data and visual information
‫with you, because I want you to do this practice activity on your own, analyze the data, have a look
‫and understand the information you are being shown and then write your plan.
‫Put this in the Q&A section and then we can give each other some feedback.
‫Best of luck with this practice activity and I'll see you in the next lesson.