• 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
9. 9
9
10. 10
10
11. 11
11
12. 12
12
13. 13
13
• Level: GCSE
• Subject: Maths
• Word count: 2742

# Data Handling

Extracts from this document...

Introduction

In this piece of coursework I am going to test to see if my Hypothesis is correct. The aim of this investigation is to investigate the following hypothesis:

”The lower your BMI is the fitter you are so your mean resting pulse rate should be lower.“

## Introduction

The data has been collected from three-year groups. Year 7, 9 and 11. The maths department has decided on these year groups, as there is two years in between each group. In years 7 and 9 the data was collected from sets A,B,C and D. Whereas year 11 the data was collected from all sets from A to F. The decision to only use A-D for years 7 and 9 was that it is more practical and some pupils from the lower sets are immature and may not take it seriously and this would obstruct the investigation. While in year 11 pupils are more grown up and act in a civilized manner.

The data had no results from girls as it is an all boys’ school in which the data was collected from. Each pupil was given a survey sheet. There was a few details that need to be filled in they were:

1. Do you have a medical condition? Yes / No
2. How old are you?Years and Months
3. Are you a member of a sports team?Yes / No
4. How many hours of sport do you do a week?Number of hours

Each class took their pulse rate 5 times and found the average of the 5 results. The mean was then recorded.

Middle

The mean shows us the average mean resting pulse rate for each BMI condition rather than the most common resting pulse rate in each category. In order to calculate this I added all of the results collected for mean resting pulse rate in each individual BMI condition and divided it by the total amount of results in that individual BMI condition category. The mean for the mean return to resting rate for BMI condition Underweight is 61 which increase as you go down the table, Normal 71, Overweight 81, Obese 83. Once again this shows that my hypothesises is correct, showing that people who have a lower BMI are fitter as they have a lower mean resting rate i.e. Normal 18.6 – 25 has an average mean resting rate of 71.

I worked out the mean and mode by drawing a dotplot that indicates all the values to work out the mode and mean.

## Box and Whisker Plots

A box and whisker plot is another way of showing the spread of collected data and statistics. 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 and using this method is a quick and easy way to analyse the information selected. The diagram below indicates what a box and whisker diagram looks like:

The diagram shows the range, median and the quartiles.

Conclusion

By looking at the values I could see that my hypothesis is strongly supported by the data. The average mean resting pulse rate for underweight was 64, normal was 74, overweight was 82 and obese was 82.5. This indicates my hypothesis was correct.

I then decided to investigate factors that could affect my hypothesis. Age, number of hours of sport per week and time to return to resting rate. The data was placed into scatter graphs which is easy to analyse two variables. The results all grouped together suggest that:

The younger you are the fitter you are because your BMI is lower, your mean resting pulse rate is lower and the time to return to resting rate is lower.

This data is shown in the scatter graphs and boxplot. If I was to do this investigation again I would have collected data from each person in all year groups ranging from year 7-11 and use all classes in each year group. The bigger sample would have made my results more accurate.

I would also experiment with different techniques to record my data to easily analyses it and compare it with the test I have done in this investigation. Also I would use more accurate data with more precise measuring instruments for example measuring height, use a ruler to the nearest millimetre instead of nearest centimetre. This would then improve precision and close to the true value. I would also do the investigation twice over 1 week an average the results. This would therefore increase the reliability which would make it more of a fair investigation.

By Matthew O’Hara

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. ## Reaction Times

The time when I got the highest reaction time (as in the slowest) was during the night. I got my lowest reaction time during the afternoon. The average reaction time in the morning was 0.301. The average reaction time for the afternoon 0.259, the evening 0.26033, at night it was 0.359333.

2. ## Maths Statistics Coursework

around a value that is further away from zero % error and therefore less accurate than Key Stage 4. Although Key Stage 4's data is less consistent, it is less consistent around a value very close to zero, suggesting many pupils in Key Stage 4 guessed very accurately, on a contrary to my hypothesis.

1. ## Statistics coursework

of the male drivers this gives me a sample of 12 for my sample of 29 as 0.42�29 = 12.18 as 12.18 rounds down to 12. Instructor C - taught 18 male pupils so 18 / 116 = 16% of the male drivers this gives me a sample of 5

2. ## Statistics Coursework. I am going to study the wealth of countries in the ...

35 169 Niger 52.7 294 38 50 144 Pakistan 56.8 884 26 38 144 Panama 64.7 5,908 17 23 36 Russia 49.9 9,115 41 20 441 Saudi Arabia 62.8 15,775 19 16 9 Senegal 58.2 898 25 37 144 Swaziland 58.9 2,569 24 29 25 Sweden 70.4 48,584 12 3

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

in an office and hardly move a muscle * You are only doing this job for a limited time so your pulse rate may go down when you stop working. * You have breaks where you might make your pulse rate go down.

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

I will make sure each person holds their fore finger and thumb the same distance apart (2cm). In addition I must make sure that each person has no idea when I am about to drop the ruler, otherwise they will know when to close their hand.

1. ## Investigation into 100m times and long jump distances

Because quota sampling is mostly random, it should be free of bias. However, I will ignore incomplete entries (i.e. entries which had missing information) which may have an effect on the sample. Hypothesis 1 I plotted three scatter diagrams: one for year 7, one for year 9 and one for year 11.

2. ## Statistical Experiment Plan to investigate the ability to estimate 30 and 60 seconds.

Moreover in the room that I will do the investigation I will make sure that no one is wearing a watch to be able to see the time and all wall clocks shall be taken down. I chose two stratified samples because stratified samples allows the gender to be represented

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