• Join over 1.2 million students every month
• Accelerate your learning by 29%
• Unlimited access from just £6.99 per month
Page
1. 1
1
2. 2
2
3. 3
3
4. 4
4
• Level: GCSE
• Subject: Maths
• Word count: 1367

# 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.

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:

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.

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

# Related GCSE Miscellaneous essays

1. ## 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,

2. ## The relationship between level of parental education and SAT scores

In a test of homogeneity, the claim is that different populations have the same proportions of some characteristics. Therefore, again, the main purpose using this hypothesis test is to determine whether the students' SAT scores in 2006 and 2010 have the same proportions of the characteristics being considered, the highest level of parental education.

1. ## IGCSE Modeling Project bouncing ball

On the computer it appears as: ( the yellow line) And for the little three points at the back the equation can be find by using the formula too and because there is only three points we can predict the value of M and N because there is a pattern

2. ## 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.

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

3 values is 345.333 - these results indicate a slight correlation suggesting greater popularity among younger ages of travelling to school by bike. Despite this, due to the lack of popularity among 9-year-olds, the trend of the graph is (very slightly)

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

= 0.26 Year 11 S.D. = 123.965 78.1 � 50 50 = 0.19863... = 0.20 My results are as expected. Year Seven's standard deviation was 0.26 - larger than Year Eleven's 0.20. This shows that Year Seven has a more spread out set of data, and so Year Eleven's estimates were more accurate, proving my hypothesis correct.

1. ## Data Handling

The graph presents information in a simple form. It especially shows anomalous results. They are good when there is a large number of data to analyse, this is why it is a good way to analyse my data this way because the information I have is on a large scale

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