• 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
5. 5
5
6. 6
6
7. 7
7
8. 8
8

The task is to take a table of data from a school and make hypotheses on the data we collect.

Extracts from this document...

Introduction

Math’s Coursework

The task is to take a table of data from a school and make hypotheses on the data we collect.

Hypothesis 1

The person’s weight increases when they get taller.

I have taken around 50 boys and girls from years 10 and 11. I’ve made graphs to show how their height compares with their weight.

This graph shows no correlation.  Most girls are an average height and weight, but there are a few girls who are ‘out of the ordinary’.

This graph is slightly different because even though we still don’t see any correlation, it shows that most of these boys are heavier than the girls.  There is a greater range in height of the boys than the in girls, as most girls were average height.

Middle

I don’t see any correlation yet. The year 10 and 11 girls are similar in their height and weight because they all seem to have an average height and weight.

For the first time we can recognize some positive correlation.  It’s not much but we can see that most year 11 boys’ weight increases when they get taller.

This graph shows the weight and height of both sexes.

This shows that most boys weigh more than girls.  This is expected but I still do not see evidence of my hypothesis.

Therefore my hypothesis that peoples’ weight increases when they get taller is not proven in the graphs.

The one time when we really see a positive correlation of this

Conclusion

I will do the same for the year 11 pupils.

I can see some more positive correlation.  The girls of this year also have a higher IQ than the girls in the year below.

This graph seems to be more mixed than the others, but still shows a positive correlation.  Another thing that seems different about this graph is that there are more intelligent boys in year 10 and also the girls in this year are more intelligent as well.

My hypothesis that pupils with a higher IQ will have better KS2 results has been proven from the data.  All four of the graphs I have produced showed this with a positive correlation, so this hypothesis has been proven unlike the first. .

Aaron sapsworth

11r,f

This student written piece of work is one of many that can be found in our GCSE Height and Weight of Pupils and other Mayfield High School investigations 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 Height and Weight of Pupils and other Mayfield High School investigations essays

1. Mayfield School Mathematics Statistics Coursework

1.38 35 8 Peter Zakir 1.63 41 8 Wilson Christopher 1.53 32 9 Davidson Jimmy 1.61 45 9 Jones Jimmy 1.52 46 9 Jones Brian 1.32 38 9 Rowley Geoff 1.56 53 10 Bates Markus 1.80 60 10 Edd Michael 1.68 59 10 Javidson Carlos 1.70 57 11 Fairfax Jacob

2. Maths: Data Handling Coursework

When looking at the heights, both gender groups had an increase as the years increased. During the investigation, I came across a few outliers where the result was much bigger than the average. For example, in year 7, there was a female who weighed 110kg.

1. Maths Data Handling

so histograms would be an appropriate piece of presentation to illustrate the different heights and weights in my sample. I did not use any pie charts as they would be inappropriate to represent the data and would make difficult to read and interpret the results.

2. Maths data investgation

and GCSE maths (%) using a tally chart. Attendence (%) Tally Frequency 50>Att<60 1 60>Att<70 3 70>Att<80 7 80>Att<90 9 90>Att<100 5 Tally chart for mixed data I have found there is only 1 student who has attendance between 50>Att<60. The majoraty of students have an attendence beween 80>Att<90.

1. Mayfield Data Handling Coursework

Box plot: To analyze how the data is distributed out, median, central half and the range and it will be used to compare two different box plots. Average and Spread: The results will show the average of the height and weight data for comparison and the range to identify the spread of the data.

2. How the mass and height of the pupils differ from each other in different ...

Group Number of students Size of sample 10% Rounded number of pupils 7 281 28.1 28 8 269 26.9 27 9 260 26.0 26 10 199 19.9 20 11 169 16.9 17 Now I have my strata I have taken a 10% sample of each and ended up with the

1. mayfield high school handling data coursework

correlation between heights and weights that will suggest the taller you get the more you will weight. Once I have processed my data I will compare and analyse my graphs to see whether any of them can prove my hypotheses or help prove them e.g.

2. Data Exploration of a Single Variable Data.

After the 30 seconds I gave them a piece of paper to write down as many as they could remember. Then I recorded the results in a table. Female Unconnected Number Gender Wordlist Score 1 Female Unconnected 6 2 Female Unconnected 7 3 Female Unconnected 7 4 Female Unconnected 6

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