• 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

# Maths Coursework Introduction

Extracts from this document...

Introduction

Introduction

Aim:

In this experiment, I will be investigating the relation between peoples estimating ability compared to their Midyis score. I am investigating this because I want to see if a person’s Midyis score is high, will there estimating ability be higher than others who have a lower Midyis score. I will carry out this investigation by comparing the accuracy of estimating year 8 students.

Method:

I will be collecting data from a total population of 56 year 8 students. I have chosen to collect data from 56 pupils because it is not too large or to small and it can give me an accurate result to what I am investigating. By using a total population of 56 people I will be able to clearly see the differences and similarities between pupils Midyis scores and their estimating ability. Each pupil will be given 2 strips of paper which will have a line measured 15 cm long where they can draw there estimation. On the first paper they will estimate how far down the line is 8 cm and on the second paper they will estimate how far 14 cm is.

Middle

Presentation of Data:

I will be presenting my data in the following methods:

• I will use a scatter graph to see the difference between the pupil’s estimation and their Midyis score
• I will use a cumulative frequency graph so I can find out the median and the quartiles of each set of data
• I will use a box and whisker diagram to see the difference between the lowest value and the highest estimation.
• I will use a histogram average estimation against the frequency density to show distribution of the data.

Hypothesis:

• As the Midyis score increases the accuracy of the estimation will increase.
• Male’s estimations are more accurate than females.

Description of Data collected:

Surname, Forename, Gender and Tutor group are all unique types of data which will allow me to get the specific Midyis score for a specific pupil without having to search through all of them. The “Pupil estimation” is continuous data as they represent measurements.  The “Difference between the actual length and pupil estimation” will

Conclusion

Pilot Survey

A pilot survey of a tutor group was taken. The pilot survey showed that the strip of paper with the line on it was too small and so the measurement they had to draw was coming off the line. Another problem was that students tables had rulers on them, so even when we specifically said not to use a ruler to help calculate the measurements, we are not certain that they did or didn’t use it to help them. This is not a fair result. Students may also have cheated as they were told to fold over their first strip of paper after they had estimated on them, so they couldn’t use it to help estimate the second measurement. The uncertainty was that they easily might have turned over the first strip of paper so it might have given them an edge to estimating the second measurement. By finding out these problems will help me to fix and solve them before I come to do my real survey.

ks

•  sc
• *surname
• *forename
• *gender
• *tutor group
• *midyis score
• *actual lenght of line
• *pupil estimation
• *and difference between actual length a

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 Maths Coursework

Quota Sampling Quota sampling is a technique that brings in the control of quotas, that is to say, the particular person whose task it is to compile the sample, is given a series of quotas. This kind of sample is often used in market research surveys.

2. ## maths coursework t-shapes

45 46 47 48 49 50 51 52 53 54 Hypothesis: I believe that there is a relationship between the T-Number and T-Total. My hypothesis is that as the T-Number increases, so does the T-Total. This is because we know the formula for the nine number grid is 5n- 63,

1. ## Data Handling Maths Coursework

The taller the student, the heavier they are For this hypothesis, I predict that the relationship between height and weight are going to be directly proportional. I predict that as height increases, weight will increase and as height decreases, weight will decrease.

2. ## What affects a persons ability to estimate?

This is to ensure the results are accurate and precise. To filter the data I shall use the Filter function on Microsoft Excel. I shall show my results in different charts and graphs to produce a number of different views of the results.

1. ## Liquid chromatography is a technique used to separate components of a mixture to isolate ...

35099 106.3 0.64 1 in 100 0.00316 -2.50 6.38 35425 107.2 0.66 1 in 500 0.000632 -3.20 6.42 36533 110.7 0.58 1 in 1000 0.000316 -3.50 6.38 39977 121.1 0.67 1 in 10000 0.0000316 -4.50 6.37 33012 100 0.80 Discussion The peak for acetone is very small and hardly distinguishable

2. ## statistics coursework

This is obviously a mistake and therefore I am going to ignore it and choose another child. If I were to include it, I'd have problems. For example, when I do my scatter diagrams, my line of best fit would be inaccurate. Therefore, I have decided to pick another one.

1. ## maths statistics coursework

The sample size is proportional to the size of the 'layer'. We do this using the following equation: Sample size for each layer = size of layer/Size of population x Size of whole sample" Stratifies sampling is the fairest and most evenly spread sampling.

2. ## Investigate how the estimation of lines and angles varies from each other, and how ...

I chose the measurements, as they seem to be of moderate length, none too big nor too small. This is also because the measurements escape the norm of 5cm, 10cm, etc. and 45o and 90o, which will ensure the student is required to think a bit harder.

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