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.
Tabulation of results- Results table of 50 people
Calculation, diagram and analysis
Hypothesis 1
Hypothesis 2
Further calculations
We worked out the following calculations using the Microsoft Excel.
I will show how we the results for mean. Median, LQ and UQ.
Analysis
Conclusion
By gathering all my results together, I can agree on my hypothesise-
People estimate the length of lines better than the size of angles &
Males are better than female in estimating the angles and lines.
This can be shown by analysing the graphs that I done, which proves my hypothesis. However I do not think, I have the margin of accuracy, to truly agree on my hypothesise, because in some parts of the results it disagreed the hypothesis i.e When I was proving “People estimate the length of lines better than the size of angles” in the “stem and leaf” graph it showed that the greatest error was 57 which was from the “line error” so this was more than the angle error. Therefore if I was to agree truly, there shouldn’t be mistakes like this which disapproves my hypothesis.
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.
