• Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

Statistics - Men are more accurate than women at estimating the length of a line are.

Extracts from this document...

Introduction

Guestimate: Statistics Coursework 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 hypotheses, 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. ...read more.

Middle

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. Men line Length (L) (mm) Mid Interval Value (mm) Frequency Cumulative Frequency mxf 60 L 70 65 4 4 260 70 L 80 75 5 9 375 80 L 90 85 11 20 935 90 L 100 95 7 27 665 100 L 110 105 3 30 315 Total 2550 Women Line Length (L) (mm) Mid Interval Value (mm) Frequency Cumulative Frequency mxf 70 L 80 75 1 1 75 80 L 90 85 3 4 255 90 L 100 95 6 10 570 100 L 110 105 9 19 945 110 L 120 115 8 27 920 120 L 130 125 3 30 375 Total 3140 Men angle Size of Angle (A) (Degrees) mid interval value (degrees) Frequency Cumulative Frequency mxf 30 A 35 32 2 2 64 35 A 40 37 4 8 148 40 A 45 42 9 16 378 45 A 50 47 12 27 564 50 A 55 52 3 30 156 55 A 60 57 0 Total 1310 Women angle Size of Angle (A) (Degrees) mid interval value (degrees) ...read more.

Conclusion

Men line Women line Mid-interval value = 80mm mid-interval value = 100mm Upper quartile = 88mm Upper quartile = 109mm Lower quartile = 72mm lower quartile = 91mm Men angle Women angle Mid-interval value = 42 degrees mid-interval value = 46 degrees Upper quartile = 45 degrees upper quartile = 50 degrees Lower quartile = 36 degrees lower quartile = 39 degrees Now 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 page Conclusion From 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. Coursework by Michael Biggar ...read more.

The above preview is unformatted text

This student written piece of work is one of many that can be found in our AS and A Level Probability & Statistics section.

Found what you're looking for?

  • Start learning 29% faster today
  • 150,000+ documents available
  • Just £6.99 a month

Not the one? Search for your essay title...
  • Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

See related essaysSee related essays

Related AS and A Level Probability & Statistics essays

  1. Statistics Coursework

    90.21 140 94.71 187 97.35 234 100 47 84.39 94 90.21 141 94.71 188 97.37 235 100 Year 9 1 79.4 42 79.89 83 86.46 124 92.59 165 95.24 206 97.88 2 26.89 43 80.16 84 86.51 125 92.59 166 95.24 207 97.88 3 35.29 44 80.42 85 86.58 126

  2. As a piece of Statistics coursework, I have decided to compare two items of ...

    The size of each sample is in proportion to the size of each stratum (category) within the population. Systematic Sampling - As the name suggests, systematic sampling is where a regular pattern is devised to choose the sample. Every item in the population is listed and a starting point is chosen at random, with every nth item being selected.

  1. Statistics coursework

    IQ Frequency Cumulative Frequency Percentage of total 60<IQ<70 0 0 0 70<IQ<80 0 0 0 80<IQ<90 4 4 10.53 90<IQ<100 7 11 28.95 100<IQ<110 23 34 89.47 110<IQ<120 4 38 100 120<IQ<130 0 38 100 130<IQ<140 0 38 100 - IQ of boys in year 11 (Table 6)

  2. Teenagers and Computers Data And Statistics Project

    I was very confident that I had worked out all of the formulas by now. Using the formula I had created I filled in the table as below. LENGTH OF CUBE Number of Red Faces 2 3 4 5 6 0 0 1 8 27 64 1 0 6 24

  1. Maths Statistics Investigation

    101 Fiat Punto 52000 4 8625 4550 47.2 120 Nissan Almera 90000 2 13075 9075 30.6 122 Land Rover Discovery 60000 3 29995 19345 35.5 132 Mercedes CL 91-99 21000 11 101975 15105 85.2 134 Ford Galaxy 10000 11 18745 3885 79.3 137 Seat Toledo 20000 9 14025 1410 89.9

  2. DATA HANDLING COURSEWORK

    Also, you can see that there are more girls that weigh between the range 41kg-50kg. This proves that more girls weigh less than boys. However, most of the girls and boys are between 41kg-50kg. From the cumulative frequency graphs, I can also predict the percentage of boys or girls in the school between certain ranges.

  1. Fantasy Football - Maths Coursework - Statistics

    I am going to use this because I want my sample to be unbiased and totally random. I will take 30 samples from each group of players; attackers, midfielders and defenders. There are other sample methods I could have used: Systematic Sampling: Taking data at regular intervals, such as every 5 or 3 players.

  2. Estimating the length of a line and the size of an angle.

    This is because year 11 students have generally one year more knowledge and experience than year 10 students so their estimations will be more accurate than year ten's. For my second aim my hypothesis is that people who estimate the length of a line accurately may not estimate the size of an angle accurately.

  • Over 160,000 pieces
    of student written work
  • Annotated by
    experienced teachers
  • Ideas and feedback to
    improve your own work