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Guestimate - Data handling coursework
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Introduction
Uzair Bapu
Data handling coursework
Introduction
For this coursework I am going to ask 25 males and 25 females to estimate a line and an angle. Once they given an estimate of the line and angle I record the data onto a spreadsheet. From this I will create graphs and I will work out the mean median and other things. I am going to analyse my graphs and charts according to my hypothesis.
Factor considered
I think there is a relationship between estimating angle and lines. People tend to be more accurate on estimating lines because people are more focus on it rather than when they are estimating angles they less concentrate. Another reason is that the understand lines much better than angles.
The factors that affected a person’s ability to estimate the angle or line are states below:-
- Age –An elder person would have more experience in doing things than a younger person. Example younger people won’t be accurate in estimating angles than older ones this would be because they have less experience & skill, therefore the percentage error will be less for an older person than a younger one. However an older person can have visual problems as they get older so this could e a factor against older people
- Gender- People have stated that females are better than males in doing certain things. Example females would be more precise in estimating lines and angles. For this reason, this would be a factor affecting the males on estimating lines and angles.
- Job –the type of job would affect how accurate the estimate is. Example if you are doing a job where your eyes are affected i.e. I.T job, this would create problems for your eyes because they get damaged, therefore affecting your estimates.
Hypothesis
Hypothesis 1-People estimate the length of lines better than the size of angles
Hypothesis 2-Males are better than female in estimating the angles and lines
Choice of length of line and size of angle
The size of angle the group decided would be 550
The size of the line that the group decided would be 7cm
Sample population
I am going to sample 32 random people from the area of Blackburn collage on the 11/11/07.The 32 random samples of people will include 16 males and 16 females. This will be my primary data. The rest of the 18 data which we still need to collect will be from students who are also doing the experiment. From that data 6 will be males and 6 will be females. This will be my secondary data. Therefore this will mean I would have 50 samples of data in total.
Sampling methods
The reason that we have chosen the amount of 50 samples of data is because it would avoid bias results. This would also give me a large sample of data, so it will be easier to compare the relationships of the hypothesis, i.e. Males against Females & Line against Angles.
Questionnaire / survey sheet
Questionnaire
Please tick one of the boxes:
Male
Female
How long do you think this line is?
……
How big do you think this angle is?
……
The format of the questionnaire is designed so that it is easy to understand.
This can be shown by having simple questions. The questionnaire asks for your gender because this is essential for the experiment and our estimate for the line and angle. Also the 7cm line and 550 angles are shown so they could estimate.
Problems with investigation
I encountered problems with my investigation in two points of the experiment.
- One of the problems that encountered came, when I was collecting samples of the data. We had to get data from different age groups, so that the data isn’t bias. However the problem was that, I could only find young people to do the experiment, therefore making the investigation bias.
- The second problems that came along when were comparing the line % error and angle %error in the scatter graph that I produced. From this I couldn’t find a correlation. Therefore, it was hard to see the relationship between the % errors for angle against % error for line using scatter graphs.
Middle
18
F
7
0
0
70
15
27
F
7
0
0
40
15
27
F
7
0
0
40
15
27
F
6
1
14
40
15
27
F
8
1
14
70
15
27
F
5
2
29
40
15
27
F
5
2
29
40
15
27
F
5
2
29
37
18
33
F
7
0
0
35
20
36
F
6
1
14
35
20
36
F
5
2
29
35
20
36
F
6
1
14
30
25
45
F
9
2
29
80
25
45
M
5
2
29
55
0
0
M
5
2
29
55
0
0
M
7
0
0
60
5
9
M
6
1
14
50
5
9
M
5
2
29
50
5
9
M
9
2
29
50
5
9
M
9
2
29
60
5
9
M
6
1
14
47
8
15
Conclusion
Evaluation
By looking at the results, I can say that the investigation went good.
Apart from a few anomalies that showed up in some of the graphs the rest of the results went right. My results went according to the hypothesis that I had set out.
However there are things that I would do differently next time round to improve my investigation-
- I would collect data from a bigger sample because there were only 50 samples of data in this investigation. So a larger sample would mean more accurate results.
- People who estimate the data should be from a wider age length so that it would avoid bias results.
- I would try using new graphs to show the results because the scatter graph, not showing any correlation of the result.
This student written piece of work is one of many that can be found in our GCSE IQ Correlation section.
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