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

Statistics Project

Extracts from this document...

Introduction

Statistics Project

Plan

Aim

My general aim from this investigation is to see if there is a relationship between the unemployment rate and the turnout of the 2005 general election in a random sample of different constituencies.

Method

I will randomly select 60 (about 10%) pieces of data as a sample by assigning each constituency a number and generating random numbers to choose the constituencies that are included in my sample. To make sure that my sample is as helpful as possible, it should be in the same proportion of winning parties to the actual thing, so the chosen constituencies were filtered so that each category had the right number of each party. I shall then plot the unemployment rate of these chosen constituencies against the turnout for that constituency in the 2005 general election in a graph, and note what I can discover from it and whether there is any correlation. If there is positive correlation I will know that places where more people are unemployed are likely to have a higher turnout for the general election, and if there is a negative correlation that it will seem the opposite. To carry out this investigation further, I plan to make two box and whisker plots to discover whether the constituencies who elect Labour are more likely to be unemployed.

...read more.

Middle

Using Microsoft Excel I added in a trendline, which although it is not striking, seems to show a negative correlation which would mean that the higher the unemployment rate is, the less likely people are to turn up to the general election. This supports my hypothesis quite well, although there are some anomalies. The anomaly that is particularly striking is Newry and Armagh, who although they have a 4.6% unemployment rate, they managed a very high turnout of 76.3%, possibly meaning that either there is a mistake in the records, or more likely that this is just an exception that did happen for any number of reasons. If it is a small constituency then it would probably be easier for a higher turnout even if they are unemployed, so that may be the reason. Due to this, I do not plan to remove this point as I think that it is correct data and should not be overlooked. Other than this however, apart from a few straying from the line, most of the points fit with the hypothesis and it works out quite well to how I had imagined.

Investigation 2

My results from my further investigation worked out like this:

...read more.

Conclusion

In the future it would be possible to do further investigations leading on from these ones which could make even more judgments on the factors that assess turnout and result of elections. These investigations could be repeated, but instead of using unemployment as a scale, house ownership could be used instead to see if you are more likely to turn up to an election if you own your own house, and also whether areas with large percentages of homeowners are more likely to vote for Labour or Conservative. If further data could be found, investigations could be made into whether people of certain ages or backgrounds are more or less likely to turn up to elections.

All of this information could probably at some point be useful to someone. If the government wanted to increase turnout to elections, from this evidence they can see that if they appeal more to the unemployed, they may get a higher turnout. Also, parties could see which sort of groups are voting for them the most, and find a way to gain wider support without losing that which they already have.

...read more.

This student written piece of work is one of many that can be found in our GCSE Miscellaneous 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 GCSE Miscellaneous essays

  1. Maths Statistics Coursework

    However, the differences between the ranges are actually quite small (only around 5% difference in error between each Key Stage), although this could be due just to one person guessing poorly. Using range is not a very accurate way of measuring spread as it doesn't take into account the fact

  2. For our GCSE statistics coursework, we were given the question Where are houses most ...

    well as LQ of the South being higher than that of the UQ in the North. This supports my hypothesis that the south is a more expensive place to live. However the box plots shows that the house prices in the North are closer together than those in the South,

  1. The relationship between level of parental education and SAT scores

    However, comparing and concluding only based upon the mean values of all the students' SAT scores can lead to biased assumptions. In order to avoid this, the data were analyzed with inferential statistics technique called a test of homogeneity of chi-square distribution based on contingency tables.

  2. IGCSE Modeling Project bouncing ball

    that the two point is only a approximate value of the equation, in my prediction according to the equation: f (17) = -1.486 (x�-30x+216) and f (15) = -1.2 (x�-30x+216) I predict that the curve will have a equation like : -1.165 (x�-30x+216).

  1. The investigative task. Do housewives or working adults have a faster working pulse rate?

    However the categories of housewives have many disadvantages' and advantage to they do as well some of the advantages are; * They are constantly doing something so there pulse rate is in a stable level so it may be higher than the working adults at the time of recording results.

  2. The aim of the project is to investigate the correlation between multiple sets of ...

    There are 121 males travelling by train, and 217 females. 121 * 1.2626990664470071389346512904997 � 153 217 > 153 Therefore, travel by train is more recurrent among females than among males, so hypothesis 2 is correct. 3) This data has more than 2 separate options in both variables; instead of being

  1. Mathematics Handling Data Coursework: How well can you estimate length?

    The standard deviation results should further support my hypothesis. Below is the formula I will use to calculate standard deviation: = ?fx� ?fx � ?f ?f Year 7 S.D. = 114. 885 74.7 � 50 50 = 0.25624... = 0.26 Year 11 S.D.

  2. Statistics coursework. My first hypothesis is that people with a smaller hand span ...

    Discrete data: Has an exact value e.g. Date of Birth. Continuous Data: Can have any number value in a certain range e.g. Hand span. Preliminary Test: 1st Test (cm) 2nd Test (cm) 3rd Test (cm) Average (cm) Date Of Birth Hand Span (cm)

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