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

Statisctics coursework

Extracts from this document...

Introduction

For my data presentation coursework, I will attempt to prove my hypothesis. My hypothesis is that European countries are wealthier than African countries. First of all, I will find the range of both sets of data. Europe Africa -55100 -12400 2300 500 Range= 52800 11900 Next I will find the mean for each set of data. Europe GDP Tally Freq. Mid Total 0-4999 IIII 4 x 2500 = 10000 5000-9999 IIIIl II 7 x 7500 = 52500 10000-14999 IIIII II 7 x 12500 = 8400 15000-19999 IIIII II 7 x 17500 = 122500 20000-24999 IIIII I 6 x 22500 = 135000 25000-29999 IIIII IIIII I 11 x 27500 = 302500 30000-34999 IIIII 5 x 32500 = 162500 35000-39999 I 1 x 37500 = 37500 40000-44999 0 x 42500 = 0 45000-49999 0 x 47500 = 0 50000-54999 0 x 52500 = 0 55000-59999 I 1 x 57500 = 57500 49 888400 Europe Mean = 888400/49=18130.61 Europe Modal Group = 25000-29999 Africa GDP Tally Freq. Mid Total 0-999 IIIIl lllll lllll 15 x 500 = 7500 1000-1999 lllll lllll lllll llll 19 x 1500 = 28500 ...read more.

Middle

Median = 20343 Europe Upper quartile = 26809 Europe Lower quartile = 16292 Europe Interquartile range = 26809 - 16292 = 10517 Africa GDP Tally Freq. Cum. Freq 0-999 IIIIl lllll lllll 15 15 1000-1999 lllll lllll lllll llll 19 34 2000-2999 Ill 3 37 3000-3999 ll 2 39 4000-4999 III 3 42 5000-5999 Il 2 44 6000-6999 Il 2 46 7000-7999 Il 2 48 8000-8999 ll 2 50 9000-9999 0 50 10000-10999 l 1 51 11000-11999 I 1 52 12000-12999 I 1 53 Africa Median = 1774 Africa Upper quartile = 4723 Africa Lower quartile = 999 Africa Interquartile range = 4723 - 999 = 3724 I will now find a more accurate median using stem and leaf diagrams. Europe Europe Median = 19900 Europe Mode = (this set is quadmodal) 6700, 20000, 22000 and 26800 each occurring twice. Africa Africa Median = 1500 Africa Mode = (this set is bimodal) 600 and 800, each occurring four times. Pie Chart First of all, I will calculate how many GDP points will be represented by one degree... ...read more.

Conclusion

Lower quartile = 999 Highest = 55100 Highest = 12400 Lowest = 2300 Lowest = 500 As well as being generally lower than their like for like European counterparts, the African quantities are also closer together. The fact that the African quantities are generally lower proves my hypothesis. To extend this investigation, I am going to state a second hypothesis; life expectancy and GDP are directly linked. In an attempt to prove this, I will construct a scatter diagram for each continent, plotting GDP (x axis) against life expectancy (y axis). If the correlation is positive, () then my hypothesis will be proved, if the correlation is negative, () then my hypothesis will be disproved. Europe N.B. The life expectancy for the Czech Republic was missing, so I have estimated it at 70. Africa I have included a line of best fit in my diagram, so that I can estimate life expectancy based on GDP, e.g. if GDP was 5000, I would estmate Life expectancy at 73. As correlation in both graphs was positive, my hypothesis, that life expectancy is linked to GDP, has been proved. ...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. GCSE Mathematics Coursework: Statistics Project

    * The girls' box (which shows the interquartile range) and the boys' box are similar in size, showing that the middle 50% of girls are as spread out as the middle 50% of boys. However, the box and whisker diagram for the boys is positively skewed, whilst the box and whisker diagram for the girls is negatively skewed.

  2. Investigate if there is any correlation between the GDP per capita ($) of a ...

    d'Ivoire 1400 42.65 Djibouti 1300 43.13 East Timor 500 65.2 El Salvador 4600 70.62 Ethiopia 700 41.24 French Guiana 14400 76.69 Gambia, The 1800 54.38 Ghana 2000 56.53 Grenada 5000 64.52 Guatemala 3900 65.23 Guinea-Bissau 700 46.97 Honduras 2500 66.65 India 2600 63.62 Iraq 2400 67.81 Jersey 24800 78.93 Kenya

  1. "The lengths of lines are easier to guess than angles. Also, that year 11's ...

    After this, I drew some histograms. From the year 9 histograms you can see, for the line, that the most densely populated group was 5 - 6 cm which, is not the group where the actual length of the line was contained.

  2. Statistics coursework

    Collecting data These are my calculations when working out the proportion of data I should take from each strata using stratified sampling: Proportion of strata to be taken= (Number in strata/population) x sample size Strata Number of students/ Number in strata Year 7 girls 131 Year 7 boys 151 Year

  1. DATA HANDLING COURSEWORK

    First line of enquiry The first line of enquiry is the taller the person the more the person weighs. I will pick a sample of 60 pupils. This is because I think that 60 pupils will be enough to represent the population and it is small enough to manage.

  2. Statistics Coursework

    and maturity in terms of their understanding of the importance of their attendance figures at school (e.g. for future reference when their career year approaches). However, even though it seems like the Year 11 GCSE students tend to come to school much more often or supposed to attend school everyday

  1. Intermediate Maths Driving Test Coursework

    From the graph above depicting my sample, you can see there is a very weak negative correlation, almost not visible without a line of best fit. Very few points lay on the line. This is a surprise to me; there must be some reason why this correlation is so weak,

  2. Used Cars - What main factor that affects the price of a second hand ...

    -19.5 380.25 3.5 27 -23.5 552.25 13 31 -18 324 50 1 49 2401 48.5 5 43.5 1892.25 39.5 7 32.5 1056.25 13 12 1 1 25.5 14 11.5 132.25 34 16 18 324 13 33.5 -20.5 420.25 3.5 37 -33.5 1122.25 25.5 13 12.5 156.25 45 19 26 676

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