Mayfield High School - Relationship between IQ and Key Stage 2 results.

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Statistics Coursework

For this coursework I will be going to find out about a factious high school called Mayfield High School. My lines of enquiry are the Relationship between IQ and Key Stage 2 results. My Hypothesis are boys have a higher IQ than Girls. And that girls are taller than boys. For my sample size I have chosen 84. This is due to the fact that if I have chosen a lower number the results would may become bias. And if I had chosen a very high number it would take to long to do. In order to begin with, I would do a stratified sample. It is stratified so you can represent population and it also awards bias.

 

In order to find the Stratified sample I will need to use this data and work it out. To do this I will use the method:-  

                       No. of year Group

                             Population               X Sample Size

I will use this method for every year group, for both girls and boys.

Year 7

Boys :- 151          

  1. X 60 = 8

Girls :- 131

  1. X 60 = 7

Year 8

Boys:- 145 

  1. X 60 = 7

Girls:- 125

  1. X 60 = 6

Year 9

Boys:- 118

  1. X 60 = 6

Girls:- 143

  1. X 60 = 7

Year 10

Boys:- 106

  1. X 60 = 5

Girls:- 94

  1. X 60 = 5

Year 11

Boys:- 84

  1. X 60 = 4

Girls:- 86

  1. X 60 = 4

This table shows the results altogether it totals up as 59 which is my sample size.

To get a more useful interpretation of the data. I have decided to sort out the data by making a frequency table for the IQ.

Boys IQ

80<IQ<85= 0

85<IQ<90= 4

90<IQ<95= 2

95<IQ<100=9

100<IQ<105= 6

105<IQ<110= 3

110<IQ<115= 7

115<IQ<120=4

120<IQ<125= 0

125<IQ<130=1

                           

Girls IQ

80<IQ<85= 0

85<IQ<90= 4

90<IQ<95= 2

95<IQ<100=4

100<IQ<105= 7

105<IQ<110= 5

110<IQ<115= 4

115<IQ<120=2

120<IQ<125= 0

125<IQ<130=0

Boys Heights

120<H<130=0

130<H<140=0

140<H<150=5

150<H<160=8

160<H<170=4

170<H<180=8

180<H<190=0

190<H<200=1

Girls Heights

120<H<130=0

130<H<140=0

140<H<150=2

150<H<160=11

160<H<170=8

170<H<180=7

180<H<190=0

190<H<200=0

Since IQ and Height is continuous data, so I have chosen to group the data in intervals of fives. I think that now I can go to the stage where I can put my results in a graph. This will allow me to analyse and compare my data for different things.

IQ

As I said before IQ is continuous data so I cant use bar graphs to show it. Instead I will use histograms as this is a suitable graph I can use to record grouped data continuous data. Before I produce the graph I have to make another hypothesis “Boy will usually have a higher IQ than boys.

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Histogram of Boys IQ

Histogram of Girls IQ

By looking at the two graphs I can tell there is a contrast between the Boys and Girls IQ. But to make it even more detailed I will need to make both sets of data on the same graph. Making a frequency polygon will make the comparison a lot clear.

Frequency Polygon for Boys and Girls IQ

This graph supports my hypothesis. It shows that there are boys that have an IQ over 120, whereas there are no girls which have ...

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