• 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. Statistics coursework

    112 5 5 5 15 7 Female 104 4 5 5 14 7 Female 98 5 4 4 13 7 Female 107 5 4 5 14 7 Female 102 4 4 5 13 7 Female 105 5 4 5 14 7 Female 112 5 5 5 15 7 Female 100

  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. Statistics Coursework

    This way, it does not only reduce the amount of time for me to process the data, it also reduces its quantity. The attendance figures of all of the students will be divided according to the year groups they belong to in ascending order (0% - 100%).

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

    11 line estimates were more spread out than the year 9 line estimates. These tables are made for use in with the scatter graphs. They show Spearman's Coefficient of Rank. This is basically to find the correlation of the data.

  1. DATA HANDLING COURSEWORK

    I will use these graphs to predict what the weight or height of a student would be. I will use cumulative frequency graphs to make comparative generalised statements about heights and weights of students across all of the strata. The cumulative frequency graphs allow you to predict percentages of students within a given range.

  2. Intermediate Maths Driving Test Coursework

    I will repeat this procedure for each day. If I come across missing data I will move onto the next available field and continue. Below I have shown a print screen for Tuesday the candidates I am using for the sample.

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

    sample size is 74/246 * 30 = 9 So I will be using a sample size of 9 female students from year 10 to represent 74 girls from year 10. Quarters Females Number of pupils in the sample 1st quarter 25 25/74 * 9 = 3 2nd quarter 14 14/74

  2. Differences in wealth and life expectancy of the countries of the world

    Once I have obtained the data I shall extract the data that will be used for my investigation. For this I shall use the stratified sampling method. This method is chosen because it is a fair and unbiased method. Also stratified sampling would give me an even spread of the

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