• 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

# Data Handling - Plan

Extracts from this document...

Introduction

Haider Ali

10N

Data Handling

Mayfield High School

Coursework;

Plan

I am going to collect data and evidence to support (or not support) the both assumptions made by me.

To collect the data, I will have to do survey’s and questionnaires so I have enough statistics to start a piece of coursework to prove the assumptions I’ll be making. This is called “Primary Data”.

I will not be using that, instead of that I’ll be using “Secondary Data” meaning you don’t have to do surveys or ask people to fill in questionnaires regarding my assumptions for this particular coursework which will help me end with a accurate, correct and reliable conclusions; so it’s convenient and saves a lot of time.

Middle

There are also advantages of using secondary data and are:

• Its easier, faster and cheap to acquire
• It will probably indicate the starting point

I don’t see any harm in using it for my project since my teacher delivered me the data so it must be accurate and reliable enough to work with.

Different data is recorded for students; on a short scale it informs me their year group, gender, height, weight and their IQ of course.

Total number of students in Mayfield High School are 1183 which is a fictional school however the data based isn’t.

Hypothesis

The line of inquiry I’ve decided to follow is “The relationship between Height

Conclusion

Well coming back to my first assumption I ended up with a sample size of 90 which will be easy to analyze and I will surely end up with a correct conclusion.

After finishing off with the method I used in my first step which was “systematic sampling”, then picking out my samples and recording them, I deleted the variable not needed except some which will be required for the second assumption in order to extend my investigation.

Next step I’ll be taking is drawing a “Scatter Graph”, I will clearly explain what a Scatter Graph is used for and what are needs for it in this project.

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. ## Maths Data Handling

w < 60 15 55 825 60 ? w < 70 8 65 520 70 ? w < 80 0 75 0 80 ? w < 90 0 85 0 90 ? w < 100 0 95 0 49 2465 Mean = ?fx = 2465 = 50.3 kg Modal Class Interval = 40 ?

2. ## Maths newspaper data collection project

Then I did stem and leaf diagrams for each section of each paper. I also worked out the Mean, Median, Mode, Upper Quartile, Lower Quartile and the Inter Quartile Range. I rounded the answers up or down depending on whether or not the number after the point (The first decimal place)

1. ## Maths: Data Handling Coursework

To test the three hypotheses, I would be looking at the Year groups 7, 9 and 11. I am ignoring the other year groups (Year 8 and Year 10) because I feel I would still be able to get the results I want by looking at just three groups.

2. ## mayfield high school handling data coursework

Finally for my conclusions I expect to write whether my hypotheses were correct however I could improve the accuracy of my conclusion by going over the entire project and see if everything I had done had been executed properly this will help give me a detailed conclusion covering the whole of my project and how I felt it went.

1. ## Data Handling - GCSE Coursework

Now I'm going to do a tally of the pupil's information. I'm going to do the boys and the girls separately and combined so I can use their individual data and combined data to make a variety of graphs. Boys Height, h, (cm)

2. ## Maths - Handling Data

64 10 1.68 42 10 1.74 80 10 1.90 80 10 1.70 55 10 1.70 57 10 1.75 65 10 1.70 59 10 1.60 66 10 1.60 50 10 1.90 80 10 1.60 50 10 1.53 48 10 1.41 55 10 1.70 50 10 1.60 50 10 1.62 48 10

1. ## Data Handling Project

To do this, I am first going to make another hypothesis. "Boys at Mayfield School are taller and weigh more on average in comparison to females" I will need to use the data of Mayfield High School between the years of 7 to 11, and this is due to the

2. ## Data handling coursework

Once I have chosen my data I will highlight the two columns that I need. Plan: Method I will use the following methods on my data to find evidence for my hypothesis: Averages I will work out three different types of averages and the range for my data.

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