雅思写作示范与技巧讲解
Task 1 :
You should spend about 20 minutes on this task.
The tables below are the results of research, which examined the average percentage marks scored by boys and girls of different ages in several school subjects. Write report for a university lecturer describing the information below.
You should write a minimum of 150 words.
Boys:
Subject Age Maths Science Geography Languages Sports
7 63% 70% 63% 62% 71%
10 65% 72% 68% 60% 74%
13 69% 74% 70% 60% 75%
15 67% 73% 64% 58% 78%
Girls:
Subject Age Maths Science Geography Languages Sports
7 64% 69% 62% 62% 65%
10 65% 73% 64% 67% 64%
13 64% 70% 62% 65% 62%
15 68% 72% 64% 75% 60%
作者建议:
This IELTS task 1 example is quite difficult because it presents the student with a lot of data, and because the significant trends in the data are not overly obvious. Lets have a look at how we might go about organising the information in the tables into a task 1 answer.1. First, we need to be aware of all of the variables that make up the data: the scores , the school subjects, the age groups and the gender or sex.
2. Now we need to sort the information into some sort of sense:a.) The first thing to do with any table is to find the highest and lowest numbers. Looking at these tables we can see that boys tended to score highly in sport and lowly in languages, and that girls on the other hand tended to score highly in languages and lowly in sport. This is the first and most obvious significant feature of the tables - the boys strong subject is the girls weak subject and vice versa.b.) But a comparison of subject scores between the two sexes reveals only limited significance. We can see that for most of the subjects the boys and girls got similar scores. Boys scored slightly higher in geography, but by the age of 15 the scores were the same. So, all that we can say about the charts in terms of the differences between boys and girls by subject is that, besides sport and languages, they were negligible .c.) The next logical step then, is to look closely at the scores for the different age groups. When we do this we find that some interesting patterns emerge. For all of the subjects, except the weak subject for each sex , the scores, between the ages of 7 and 15, increased overall, for both sexes. But if we look at the scores for the years between these two we see that the improvement was not constant, and that at a particular age the scores for most subjects fell. Also, the age at which this occurred was not the same for boys and girls. This pattern seems to reveal that both boys and girls went through a slump in academic performance, but at different times, which is certainly an interesting feature of the data in the tables, and definitely needs to be mentioned. The largest difference between scores for two different age groups should also be noticed.
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