• Join over 1.2 million students every month
• Accelerate your learning by 29%
• Unlimited access from just £6.99 per month

# GCSE: Height and Weight of Pupils and other Mayfield High School investigations

Browse by

Currently browsing by:

Meet our team of inspirational teachers

Get help from 80+ teachers and hundreds of thousands of student written documents

1. 1
2. 2
3. 3
4. 4
5. 5

Research has been done and it shows that airplane crashes have been going down by the years since 1999 and leveling off with few crashes per year. There have been more fatalities among people traveling by automobiles, than airplanes. From small, corporate jets to large, commercial airplanes, there have been fewer deaths and accidents compared to those of automobiles across the world. "For the corporate jets, over the past five years there's been an average of nine accidents a year and four fatalities..."

• Word count: 2081
2. ## Mayfield High School Handling Data Coursework

The correlation co-efficient is smaller for year 7 boys than it is for year 11 boys. For this hypothesis I will need to gather data on both year 7 and year 11 males. I will then have to use Microsoft excel to work out the correlation co-efficient for each year group for comparison. As the year increases the heights and weights of both the males and females increases. For my final hypothesis I will need to collect data from males and females in a series of different year groups.

• Word count: 2701
3. ## GCSE Maths Coursework: Statistics Project

50 13 1.48 44 1.63 51 14 1.50 45 1.65 51 15 1.52 45 1.65 52 16 1.53 45 1.66 52 17 1.53 45 1.67 53 18 1.53 45 1.68 53 19 1.55 47 1.68 54 20 1.56 47 1.70 55 21 1.57 47 1.72 57 22 1.58 48 1.73 58 23 1.60 48 1.73 59 24 1.61 48 1.75 60 25 1.62 50 1.76 60 26 1.63 50 1.78 60 27 1.64 51 1.80 63 28 1.64 52 1.80 65 29 1.73 57 1.90 66 30 1.75 140 4.65 72 Representing my Data In order to see whether there

• Word count: 2980
4. ## ' In general, Year 10 girls are heavier and taller than year seven girls '

1.57 47 1.72 57 22 1.58 48 1.73 58 23 1.60 48 1.73 59 24 1.61 48 1.75 60 25 1.62 50 1.76 60 26 1.63 50 1.78 60 27 1.64 51 1.80 63 28 1.64 52 1.80 65 29 1.73 57 1.90 66 30 1.75 140 4.65 72 Representing my Data In order to see whether there is any correlation between the height and weight of each year, I have presented my data of height and weight for year on separate scatter diagrams.

• Word count: 2923
5. ## GCSE Source Work: The Georgian Period

and two maidservants were killed but Mr Maister and the rest of the family escaped, this contradicts source 1 therefore which one is reliable. Without reading any other sources I do not know what date the last Tuesday was from the 15th April. This source is not very reliable as it is written from York and what they are writing won't be first hand. Although it does say the fire was on the Tuesday it could have been on the Wednesday because of the time that is given. This source also has nothing included to suggest who/what started the fire.

• Word count: 2908
6. ## I plan to investigate whether there is a correlation between height and wrist circumference of UK males.

I will then select the data entry coinciding with this number. When using the random sampling method I will ignore all decimal places e.g. 421.943 will become 421. If a number is repeated then on the second case the number will be ignored and I will do another random sample. Investigation 1 Analysis I have now drawn up my scatter graph using Excel(c). My original hypothesise were: Null Hypothesis: There is no correlation between the height and wrist circumference of UK Males Alternate Hypothesis: There is a positive correlation between the height and wrist circumference of UK Males From looking

• Word count: 2475
7. ## Handling Data-Mayfield High The purpose of this investigation is to find out whether the weight has a relationship with height

YEAR GROUP BOYS GIRLS TOTAL 5% BOYS GIRLS 7 150 150 300 15 8 7 8 145 125 270 14 7 7 9 120 140 260 13 6 7 10 100 100 200 10 5 5 11 84 86 170 9 4 5 To get my Stratified Random Sampling I will use a calculator to avoid bias, Scientific calculator will be just ideal for this situation. I will press shift button, random button (RAN#)) and the calculator would give me a number between 0-1.

• Word count: 2170
8. ## Maths Handling Data Coursework HypothesisMy hypothesis is: Is intelligence related to exam results? To do this I can investigate the relationship between IQ and Key Stage 2 results

I am going to take my sample, and then I am going to first look at the IQ. I will draw a histogram as the data is continuous. This will help me to find out the median. I will also find out the mean, the modal class interval, and the inter-quartile range. These will be useful when I draw a box and whisker diagram as it will provide a very clear comparison of the different measures of spread. I will not find out the mode as my data is continuous and it makes more sense to find out the modal class interval.

• Word count: 2633
9. ## Data Handling

This data has been rejected as the possible answers would be far too varied. * Ks2 maths and English scores. This data has been rejected as a hypothesis for this type of data would not necessarily be true. * Transport to school. This data has been rejected as it could not have a logical hypothesis. * Favourite television programme. This data has been rejected as the answers would be far too varies * Eye colour. This data has been rejected as a hypothesis given would not necessarily be true for everyone with the same eye colour.

• Word count: 2203
10. ## Hypothesis: ' In general, Year 10 girls are heavier and taller than year seven girls ' I am also going to investigate whether there is any correlation between height and weight

50 13 1.48 44 1.63 51 14 1.50 45 1.65 51 15 1.52 45 1.65 52 16 1.53 45 1.66 52 17 1.53 45 1.67 53 18 1.53 45 1.68 53 19 1.55 47 1.68 54 20 1.56 47 1.70 55 21 1.57 47 1.72 57 22 1.58 48 1.73 58 23 1.60 48 1.73 59 24 1.61 48 1.75 60 25 1.62 50 1.76 60 26 1.63 50 1.78 60 27 1.64 51 1.80 63 28 1.64 52 1.80 65 29 1.73 57 1.90 66 30 1.75 140 4.65 72 Representing my Data In order to see whether there

• Word count: 2985
11. ## During my plan I will be trying to find out whether girls area taller than boys when entering secondary school in year 7 and who out of the two is taller when leaving secondary school in year 11. I choose this enquiry

> Stratified sampling There may often be factors which divide up the population into sub-populations (groups / strata) and we may expect the measurement of interest to vary among the different sub-populations. This has to be accounted for when we select a sample from the population and in order to show a representative of each sub-population we must obtain a sample from each sub-population that is proportionate to the other sub-populations and the population. This is achieved by stratified sampling. A stratified sample is obtained by taking samples from each stratum or sub-group of a population. Plan During my plan I will be trying to find out whether girls area taller than boys when entering secondary school in year 7 and who out of the two is taller when leaving secondary school in year 11.

• Word count: 2708
12. ## This coursework is about a statistical analysis to investigate the height and weight of pupils within Mayfield High School

1183 100% 200 In selecting my data I found that there were errors in the database e.g. I found 3 female students in year 7 all weighing between 110kg and 140kg and I also found that there were 4 students weighing under 10kg - lighter than a sack of rice. I also found some outrageous heights. Hypotheses 1) As height increases, weight increases 2) Boys are naturally taller that girls 3) As age increases, the rate of growth decreases 4) Girls' heights are wider spread than boys' heights. 5) Students stop growing at year 10 and they are, on average the same height and weight as year 11 Hypothesis 1: As height increases, weight increases To test

• Word count: 2043
13. ## height and foot size

If there is a perfect negative correlation, then r = -1. If there is no correlation, then r = 0. A scatter graph to show the relationship between the height and foot size of all 60 pupils As I had expected, there is a strong positive correlation on my scatter graph indicating that the taller someone is, the bigger their feet size. When you take the square root of 0.69 (to find the r-value) it results to 0. 831. We know that this is a positive square root because the correlation of the graph is positive and particularly emphasises my hypothesis as this suggests that people who are taller tend to have longer feet.

• Word count: 2441
14. ## To test the ways in which the mass or weight of a person varies in proportion to their lifestyle, for example

Stratified sample is found by using the formula of the number of the variable, divided by the total number, multiplied by the strata sample number. Calculations: Male Female Total 150 132 282 (rounded to 300) 282 282 10% of 300 = 30 = = 0.52 0.47 x 30 = = 16 14 Body mass index or BMI is the measurement of choice for many physicians and researchers studying obesity. BMI uses a mathematical formula that takes into account both a person's height and weight and equals a person's weight in kilograms divided by height in meters squared.

• Word count: 2743
15. ## For my project I am investigate the relationship between weight, height and body mass index. I will be investigating how the body mass index

I can find this information from the Mayfield High School table. I have chosen these sources of information because I will need them for my inquiries and to compare the data. This data is not reliable because there are some extreme values like there is a person who is 4 Metres, 65, and a person who weighs 9 stones. This shows that the data is definitely not reliable. There are quiet a few of outstanding values, and there are also some fields, which have missing data. I will use a sample size of 119 because that is approximately 10% of the total data.

• Word count: 2942
16. ## I am going to carry out an investigation to see what factors affect a pupils IQ. The factors that I will investigate

Now I will go through my Hypothesis and say why I have included each point in my Hypothesis. Hypothesis 1 I think that people who watch less TV have a higher IQ than people who watch more TV. I think that this is true in some cases but there will be many exceptions. I think this because people who watch TV more are obviously not very outgoing and sociable. They spend a lot of time watching TV instead of doing something more productive like homework.

• Word count: 2439
17. ## GCSE Physics Coursework

Table of Results: Test 1 Distance from pivot (cm) Measurement before (mm) Measurement after (mm) Deflection (mm) 10 886 880 6 20 886 875 11 30 886 863 23 40 886 849 37 50 886 831 55 60 886 815 71 70 886 797 89 80 886 770 116 Test 2 Distance from pivot (cm) Measurement before (mm) Measurement after (mm) Deflection (mm) 10 884 880 4 20 884 873 11 30 884 860 24 40 884 848 36 50 884 831 53 60 884 814 70 70 884 795 89 80 884 775 109 Average of Both Tests Distance from pivot (cm)

• Word count: 2192
18. ## Height and weight of pupils

I will then sort the relevant data into groups of year group, gender etc. in order to do the investigation in a logical way. Hypothesis The hypothesis that I have chosen to use is... As students in the school get older, their height and weight will increase. Boys will also be taller and heavier than girls. Samples In my investigation I will be using a sample of the data because it would take an unreasonable amount of time to use the data collected from every student. It will still give me a reasonably accurate result and using a sample will be more practical too.

• Word count: 2546
19. ## An eating disorder is a serious disruption of a persons eating habits, it some cases it may be a reflection of abnormal psycho

People who have anorexia develop abnormal eating habits. For example, avoiding food and meals. People who have anorexia may repeatedly check their body weight, and some also engage in intense exercise as another method of controlling their weight. Body-image distortion People who have anorexia don't see their own thinness, often they continue to see themselves as being fat, despite the fact that often their bones can clearly be seen. People who have anorexia also often deny the seriousness of their low body weight, their thinness is considered vital to their high self esteem.

• Word count: 2327
20. ## elationship exists or can be established between the height and weight of students

Using the data from the question sheets a sample will be processed. 4. Once I have the results from working out the stratified data I will randomly pick a sample of males and females from each year group. 5. I will then divide that data in to the different year groups and sub total these and make sure the data is regularised 6. The data will be used to calculate the regression properties for each sample as well as calculating the standard deviation for both male and female I will plot a scatter graph for each year group and also plot a regression line.

• Word count: 2767
21. ## Coursework: Investigating research questions in the Sport and Exercise Sciences

The findings can also be used in leisure centre management to accommodate any difference in usage, for example, the space allocated for changing facilities. Provision needs to be made if there's more of one sex. Leisure centres may also use the information for marketing purposes. Promotion of activities and events might be aimed specifically at one gender to increase their participation. The leisure centre could also consider other methods of altering the balance between male and female users, such as adjusting price structures.

• Word count: 2265
22. ## Multiple Personality Disorder

People can have up to fifty personalities or more. All personalities usually will have their own name and their own role. For example one personality can be the keeper of pain, his role is to take and feel all the pain that the other personalities come in contact with. The personality also can have their own appearance, but this does not mean the person changes its outer image it is just the way he/she sees inside his/her head. The personalities will also have different ages, talents, and likes and dislikes.

• Word count: 2891
23. ## How are male and female characters represented in two situation comedies of your choice?

This means that they are both domestic sitcoms and show 'the not quietness of domesticity' as John Hartley put it. They are also both hybrid sit-coms, both are heavily centred round sex and relationships which is more a trait of a work sitcom. Friends also does not have a self-contained narrative which makes it almost a soap. The title sequence is designed to give you a quick insight into what the program is about, so any gender stereotyping in it makes a big statement about how males and females are represented.

• Word count: 2016
24. ## Fight Club a 'devastating critique of American materialist, consumer culture', or a film about 'the monstrous thrill of violence and the fragility of men'? (Rombes: 1999).

Additional to this, the fragility of man and narratives surrounding masculine supremacy are present throughout, and undermine any notions of critical morality. "Ostensibly, Fight Club Appears to be a critique of late capitalist society...But Fight Club is less interested in attacking the broader material relations of power and strategies of domination and exploitation associated with neoliberal capitalism than it is in rebelling against consumerist culture that dissolves the bonds of male sociality and puts into place an enervating notion of male identity and agency" Giroux, 2000:3.

• Word count: 2888
25. ## Relationship between height and weight

66 14 M 1.67 66 15 M 1.7 57 16 F 1.6 56 17 M 1.71 57 18 M 1.52 60 19 M 1.66 66 20 M 1.6 59 21 F 1.63 44 22 F 1.63 44 23 F 1.4 45 24 F 1.73 51 25 M 1.8 60 26 F 1.72 51 27 M 1.72 63 28 M 1.75 56 29 M 1.91 82 30 M 1.77 57 31 F 1.68 54 32 F 1.73 64 33 F 1.73 50 34 F 1.63 47 35 F 1.72 56 36 F 1.62 48 37 F 1.56 50 38 M 1.8

• Word count: 2729