Men are more accurate than women at estimating the length of a line are Essay Example
Hypothesis: Men are more accurate than women at estimating the length of a line are.I am also going to investigate another hypothesis similar to the first one and this will give me results, which I can compare, which will give me a better conclusion.
Hypothesis 2: Men are more accurate than women at estimating the size of an angle are.In order to investigate whether my 2 hypotheses are correct, I am going to draw a line and draw an angle on a piece of paper (see previous page). I am then going to ask 30 men and 30 women to estimate how long they think the line is and what size the angle is.
By asking 30 people from each gender it give me more results, which is better for investigating my hypothese
...s, to if they are correct. To make this a fair test I am going to ask men and women who are 17-45 years of age. This would make it easy to find people to estimate the length of the line and the size of the angle, as I can ask my mums, dads and my friends. Now I could if I wanted to is do another hypothesis investigating whether the age of people effects whether they are good at estimating or not. This would make my project too long and it doesn't link with my first two hypotheses.I am going to collect my results using a tally chart as this will show my results in a simple way and I will be able to compare the results to see whether my hypothesis is correct.
I am going to do this for both the line and
the angle results. Tally Chart for men estimating the length of the line.Length of Line (L) (mm). From looking at my results at first glance I noticed that men are better at estimating the length of the line, but the angle results are very similar from both genders.
Now I have my results from 30 men and 30 women, I am going to draw up some cumulative frequency tables so I can work out the mean number. By having the mean number it shows me which gender is better on average at estimating the size of my angle and the length of my line. The whole point of doing cumulative frequency charts is to work out the total and from that I can work out the mean (average) which will help me to see whether my two hypotheses are correct.
By using the total from each cumulative frequency chart I can now work out the mean number by dividing the total by 30 as 30 is the number of each gender I asked to estimate the length of the line and the size of the angle. The mean is the average number and with this I can see which figure from both sets of results is closest to the actual length and size. This will show me whether my two hypotheses are correct or not.
Length of lineMen's Mean: 2550 / 30 = 8.5cmWomen's Mean: 3140 / 30 = 10.4cmSize Of AngleMen's Mean: 1310 / 30 = 43.6 degreesWomen's Mean: 1395 / 30 = 46.5 degreesFrom working out the mean for the men's and women's sets of data I found out that my two hypotheses are correct in
saying that "Men are more accurate than women at estimating the length of a line" and "Men are more accurate than women at estimating the size of an angle".
As the actual size of the line on the paper is 9cm long and the size of the angle on the paper is 45 degrees.As you can see the estimating from both genders was ever so close but my 2 hypotheses are correct.Using the data from my cumulative frequency table I then drew up some cumulative frequency graphs, by doing this I can see the mid-interval value, upper quartile and lower quartile. (See pages 2, 3, 4 ; 5)I can now compare graphs to see if my hypotheses are correct which I've already found out that it is from working out the mean number from using the tally charts.
Below show the mid-interval value, upper quartile and lower quartile from each graph.Men line Women lineMid-interval value = 80mm mid-interval value = 100mmUpper quartile = 88mm Upper quartile = 109mmLower quartile = 72mm lower quartile = 91mmMen angle Women angleMid-interval value = 42 degrees mid-interval value = 46 degreesUpper quartile = 45 degrees upper quartile = 50 degreesLower quartile = 36 degrees lower quartile = 39 degreesNow that I have the mid-interval value, upper quartile, and lower quartile I can draw up some box plots which will help me to see overall what my results show. E.g.
positive skew.(See pages 6 & 7)Conclusion on next pageConclusionFrom my investigation on working out if my two hypotheses are correct or not, I have found out that they are both correct in saying that "Men are more accurate than women at estimating the
length of a line" and "Men are more accurate than women at estimating the size of an angle". But the size of the angle results compared against each gender are very close, I think if I had asked more people from each gender then I would have had better results, giving me a very different mean numbers. I don't think they would have been as close.On page 8 I have written an evaluation about my project with improvements I could have made to give me better results and what I thought about my overall project.
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