# Data Investigation

analytical Essay
633 words
633 words

Data Investigation

Having allocated data of students from a school given a fabricated

name, I will use this data to follow up a line of enquiry on.

From the data that I have there are 1200 students in the school, where

599 are boys and 601 are girls.

Below is a chart showing how many girls and boys there are in each

year group.

Year group

Number of Boys

Number of Girls

Total

7

150

150

300

8

145

125

270

9

120

140

260

10

100

100

200

11

84

86

170

7, 8, 9, 10, 11

599

601

1200

Name, Age, Year Group, IQ, Weight, Height, Hair colour, Eye colour,

Distance from home to school, Usual method of travel to school, Number

of brothers and sisters, Key stage 2 results in English, Mathematics

and science.

This information indicates that I have (1200 x 14 =) 16800 datum

points from which I can follow up a line of enquiry on.

For my statistical investigation I will be investigating the

relationship between the IQ and key stage 2 results.

Due to the issue of having different amount of students in each year,

I am going to use a stratified sample.

I already know that I have 1200 students altogether in the school, so

using this and the amount of students in each year group, I will work

out my stratified sample of 4%; because 1200 is a large amount of

students to investigate with.

Year

Fraction of pupils in each year

Number of pupils in sample of 48

7 Boys

150

1200

150 x 48 = 6

1200

7 girls

#### In this essay, the author

• Explains that they will use the data to follow up a line of enquiry on the 1200 students in the school, where 599 are boys and 601 are girls.
• Explains that they have details about each student about the following things: name, age, year group, iq, weight, height, hair colour, eye color, distance from home to school, number of brothers and sisters, key stage 2 results in english.
• Explains that they have 16800 datum points from which they can follow up a line of enquiry. they will investigate the relationship between the iq and key stage 2 results.
• Explains how they will work out their stratified sample of 4%, because 1200 is a large amount of students to investigate with.
• Explains that they need 6 boys and 6 girls from year 7, 6, 8, and 9 for this investigation.
• Explains that they are going to investigate the relationship between the iq and maths sats result of key stage 3 and key stage 4.
• Analyzes the correlation between the iq and sats results for the whole school.
• Analyzes how the box plot shows that the lower quartile and mean are very close, which indicates that many of the students had similar iq results and others had outstanding results.
• Analyzes how the males did better than the females, because their mean iq is higher by 0.5, whereas they have higher ranges by 16.
• Analyzes how the scatter diagrams show that the higher the iq, higher their sats result. one of the female's points on the graph stands out from the rest.