• 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
14. 14
14
15. 15
15
16. 16
16
17. 17
17
18. 18
18
• Level: GCSE
• Subject: Maths
• Word count: 4918

# For my investigation I will be investigating the statement &quot;Boys are taller than girls.&quot;

Extracts from this document...

Introduction

Investigating the statement “Boys are taller than girls.”

## Introduction

For my investigation I will be investigating the statement “Boys are taller than girls.”

## Planning

I will need to collect the year group, gender and height for each person in years 7 and 11 at Mayfield High School. I can find this information from the database the school provided. I have chosen this source of information, as it is reliable. I will use a sample size of total 120 so that is a sample size of about 60 per year group and 30 per year group per gender. This will be a fair sample as it considers a proportional number of people in each year so my results should show a similar variation in each year group therefore giving me better averages to work with. I will use this data to compare the difference in heights between boys and girls in each year group.

## Hypothesis

My hypothesis is that I think girls will, on average, be taller than boys in year 7 as they start puberty earlier and so grow earlier. In year 11 I think boys will be taller as by this time they have started puberty and have grown taller. From the age of 14 boys generally tend to be taller than girls. So I expect my results to show that boys are taller than girls in the older age groups.

## Averages

There are three main ways of finding an average. These are the; mean, mode and median.

The mean is the most common way of finding an average. To find the mean there are three easy steps: 1.

Middle

1.61

7

Matthews

David

12

Male

1.50

7

McCally

Simon

12

Male

1.45

7

Mills

Robert

John

12

Male

1.63

7

O'Keagan

Kevin

Rourke

12

Male

1.55

7

Partridge

Andy

12

Male

1.74

7

Punnu

12

Male

1.65

7

Sammy

Singh

Amrit

11

Male

1.52

7

Shaw

Paul

12

Male

1.57

7

Solomon

Christopher

Michael

12

Male

1.56

7

Stanton

Andrew

Lee

12

Male

1.41

I have chosen the following data for my analysis. I have selected my data using stratified sample. Previously I decided to use a sample of 60 pupils per year. I used a stratified sample to get a proportional number of pupils within the year group. The equation I used for the girls gave me the information I needed to be able to tell that I needed to pick twenty-eight out of the sixty pupils. This leaves me with thirty-two pupils once I have subtracted the twenty-eight away from the sixty.

MEAN: I have already completed my first step by collecting all the data. My second step is to add together all the relevant values.

1.62                                            1.64

1.45                                            1.53

1.52                                            1.63

1.36                                            1.54

1.47                                            1.30

1.58                                            1.61

1.60                                            1.50

1.60                                            1.45

1.55                                            1.63

1.71                                             1.55

1.42                                            1.74

1.65                                            1.65

1.50                                            1.52

1.62                                            1.57

1.51                                             1.56

1. 1.41

=49.60

My second step to finding the mean is to divide the total of the heights by the number of heights.

49.60/32 = 1.55

The mean number of year 7 boys’ heights is 1.55m to the nearest cm.

MEDIAN: My first step to finding the median is to set out the data in numerical order.

1.30                                      1.56

1.36                                      1.57

1.41                                       1.58

1.42                                      1.60

1.45                                      1.60

1.45                                      1.61

1.47                                      1.61

1.50                                      1.62

1.50                                      1.62

1.51                                       1.63

1.52                                      1.63

1.52                                      1.64

1.53                                      1.65

1.54                                     1.65

1.55                                     1.71

1. 1.74

I now must work out the half way point between the numbers. I know there are thirty-two numbers in the sample and so therefore the half way point between the numbers is sixteen and a half. As this is not a whole number I will have to use the mid point between sixteen and seventeen.

Sixteenth number = 1.55

Seventeenth number = 1.56

Mid point number = 1.555

This rounds up to 1.56m

The median for year 7 boys’ heights is 1.56m.

MODE: To work out the mode I need to work out how many of each height there are in this sub set. To do this I will set out the data with the number of that height next to it in brackets.

 1.30 (1) 1.56 (1) 1.36 (1) 1.57 (1) 1.41 (1) 1.58 (1) 1.42 (1) 1.60 (2) 1.45 (2) 1.61(2) 1.47 (1) 1.62(2) 1.50 (2) 1.63(2) 1.51 (1) 1.64(1) 1.52 (2) 1.65(2) 1.53 (1) 1.71(1) 1.54 (1) 1.74(1) 1.55 (2)

From the presentation of this data I can see that there is more than one mode they are 1.45m, 1.50m, 1.52m, 1.55m, 1.60m, 1.61m, 1.62m, 1.63m and 1.65m as they are the heights with the most people from the sample.

The modal values for year 7 boys’ heights are 1.45m, 1.50m, 1.52m, 1.55m, 1.60m, 1.61m, 1.62m, 1.63m and 1.65m.

A box plot diagram and histogram will help show the ranges and present data.

Standard deviation is a good measure of spread as it tells how far away each value in the data is away from the mean.

 X X – X (X - X) 1.3 0.25 0.0625 1.36 0.19 0.0361 1.41 0.14 0.0196 1.42 0.13 0.0169 1.45 0.1 0.01 1.45 0.1 0.01 1.47 0.08 0.0064 1.5 0.05 0.0025 1.5 0.05 0.0025 1.51 0.04 0.0016 1.52 0.03 0.0009 1.52 0.03 0.0009 X=49.6/32 = 1.55 1.53 0.02 0.0004 S= 0.2964/32 =0.017 to 4 sf 1.54 0.01 0.0001 1.55 0 0 1.55 0 0 1.56 -0.01 0.0001 1.57 -0.02 0.0004 1.58 -0.03 0.0009 1.6 -0.05 0.0025 1.6 -0.05 0.0025 1.61 -0.06 0.0036 1.61 -0.06 0.0036 1.62 -0.07 0.0049 1.62 -0.07 0.0049 1.63 -0.08 0.0064 1.63 -0.08 0.0064 1.64 -0.09 0.0081 1.65 -0.1 0.01 1.65 -0.1 0.01 1.71 -0.16 0.0256 1.74 -0.19 0.0361 Total 49.6 0.00 0.2964

The standard deviation of year 7 boys’ heights is 0.017 to four significant figures.

## Analysing Boys and Girls Heights in Year 7

From the data shown above I can see that, on average, boys and girls are very similar heights although girls have a slightly taller average height. We can also see that girls have a larger range of heights than boys through the box plot diagrams and the standard deviation results. In my hypothesis I thought that girls would be taller than boys in year 7, therefore my hypothesis correct, although I did believe that the difference between girls heights and boys heights would be much greater.

SUB SET – year 11 girls

 Year Group Surname Forename 1 Forename 2 Years Gender Height (m) 11 Acton Jenny Sarah 16 Female 1.67 11 Ali Amera 15 Female 1.62 11 Barlow Louise Jane 16 Female 1.63 11 Becher Heidi Francis 16 Female 1.72 11 Berry Shelly Laura 16 Female 1.73 11 Bertwistle Lara Alyson 16 Female 1.63 11 Bradbury Natalie Angela 16 Female 1.69 11 Brown Amy Ruth 16 Female 1.62 11 Brown Isabella 15 Female 1.65 11 Buyram Dawn Elizabeth 16 Female 1.65 11 Chen Sabrina 16 Female 1.61 11 Compass Sharon Stella 16 Female 1.52 11 Dion Dawn Stella 16 Female 1.68 11 Dorn Shelly Michelle 16 Female 1.63 11 Feehily Christina Jean 16 Female 1.72 11 Flawn Elise 16 Female 1.62 11 Grace Davina 16 Female 1.65 11 Grot June Leah 16 Female 1.60 11 Hall Julie 16 Female 1.63 11 Heap Louise Stephanie 16 Female 1.80 11 Hunter Ingrid 16 Female 1.52 11 Jackson Debi 16 Female 1.68 11 Kaleem Humaira 16 Female 1.69 11 Kay Nadia 16 Female 1.62 11 Kelly Sarah 16 Female 1.55 11 Khan Adila 16 Female 1.63 11 Margeus Nichola Paula 16 Female 1.61 11 McCarthy Farrah 16 Female 1.59 11 McCreadie Jenny 16 Female 1.62 11 McMillan Collen Jade 16 Female 1.58

Conclusion

 1.52  (1) 1.75  (1) 1.55  (1) 1.77  (1) 1.58  (1) 1.78  (1) 1.62  (4) 1.8   (1) 1.67  (3) 1.82  (1) 1.68  (4) 1.85  (1) 1.69  (1) 1.86  (2) 1.7   (1) 1.92  (1) 1.71  (1) 1.94  (1) 1.72  (2) 1.96  (1)

From the presentation of this data I can see that the modal values are 1.62m and 1.68m as they are the heights with the most people from the sample.

The modal values for year 11 boys’ heights are 1.62m and 1.68m.

A box plot diagram and histogram will help show the ranges and present data.

Standard deviation is a good measure of spread as it tells how far away each value in the data is away from the mean.

 X X - X (X - X) 1.52 0.203666667 0.04148 1.55 0.173666667 0.03016 1.58 0.143666667 0.02064 1.62 0.103666667 0.010747 1.62 0.103666667 0.010747 1.62 0.103666667 0.010747 1.62 0.103666667 0.010747 1.67 0.053666667 0.00288 1.67 0.053666667 0.00288 1.67 0.053666667 0.00288 1.68 0.043666667 0.001907 X= 51.71/30 = 1.72 to 2 dp 1.68 0.043666667 0.001907 S= 0.368897/30 = 0.020 to 4 sf 1.68 0.043666667 0.001907 1.68 0.043666667 0.001907 1.69 0.033666667 0.001133 1.7 0.023666667 0.00056 1.71 0.013666667 0.000187 1.72 0.003666667 1.34E-05 1.72 0.003666667 1.34E-05 1.75 -0.026333333 0.000693 1.77 -0.046333333 0.002147 1.78 -0.056333333 0.003173 1.8 -0.076333333 0.005827 1.82 -0.096333333 0.00928 1.85 -0.126333333 0.01596 1.86 -0.136333333 0.018587 1.86 -0.136333333 0.018587 1.92 -0.196333333 0.038547 1.94 -0.216333333 0.0468 1.96 -0.236333333 0.055853 Total 51.71 0.00 0.368897

The standard deviation of year 11 boys’ heights is 0.020 to four significant figures.

## Analysing Boys and Girls Heights in Year 11

From the data shown above I can see that boys are taller than girls in year 11. We can also see that boys have a larger range of heights than girls through the box plot diagrams and the standard deviation results. The reason for this is that boys generally grow more than girls and so there will be more fluctuation in boys’ heights than girls’ height leading to the greater range. In my hypothesis I thought that boys would be taller than girls in year 11, therefore my hypothesis is correct at this stage.

## Conclusion

Overall I got my hypothesis correct. I predicted that girls would be taller than boys in year 7 and boys to be taller than girls in year 11. My results reflected this prediction well. Generally all my averages worked out well although some better than others. My measures of spread proved helpful when analysing the data.

Andrew Greaves 10S

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. ## A hypothesis is the outline of the idea/ideas which I will be testing and ...

be too large to make a sufficient analysis of the results that I will gain. I will be a Sampling Method is which I can sufficiently break down the number of student and meanwhile keep the investigation fair as possible.

2. ## Mayfield. HYPOTHESIS 1: Boys at Mayfield School are Taller and Weigh more on ...

1.52 + 1.32 + 1.56 + 1.80 + 1.68 + 1.70 + 1.62 + 1.65 + 1.8 20 = 31.28 Divided by 20 = 1.6m Median: 1.65 m (Calculated with the Use of Microsoft Excel) Range: 1.8 - 1.32 = 0.48 m Boys Weight Mean: 48.1 kg Median: 48 kg

1. ## Maths Data Handling

The data suggest that if a boy is picked at random, the probability of him having a weight between 50 and 65 kg would be 0.37. If the boy did have a weight between that range then there would be a probability of 0.67 of him having a height between 156 and 180 cm.

2. ## If Tesco found that they needed to recruit an office supervisor externally, after finding ...

This is mainly because England has the largest population. The number of students staying on in higher education has increased. This means that there are less young people available in the labour market. This means there will not be as many young people available for South East England to employ.

1. ## Data Handling Project : Heights of Girls

is a smaller gap between the tallest and smallest, which points to the girls all being more similar where as the boys are more varied. In both graphs most of people are in the 1.4m to 1.6m range with most of the girls clustered nearer the 1.6m line and the

2. ## I will be testing the following hypothesis in my pilot study: ...

This is because it shows how the outcome of my results would differ between the two graphs (before and after). There are two methods for calculating the outliers. One is using the Standard Deviation and the other is calculating the Interquartile Range.

1. ## Mayfield High. I will set about carrying out various test in order to come ...

3 3 3 3 90 3 3 4 3.333333333 98 4 4 4 4 118 5 5 5 5 84 3 3 3 3 99 4 3 4 3.666666667 112 5 5 5 5 100 4 4 4 4 103 4 5 4 4.333333333 110 5 5 5 5 91

2. ## I will base my investigation on heights and weights. Furthermore, I will be ...

Gender Height Weight 663 M 1.7 47 798 M 1.6 48 572 M 1.71 68 726 M 1.52 54 657 M 1.6 55 579 M 1.61 60 619 M 1.74 57 662 M 1.72 62 658 M 1.58 50 679 M 1.7 50 793 M 1.75 52 642 M 1.65

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