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• Level: GCSE
• Subject: Maths
• Word count: 1446

# Analysing the data sheet which contains all the data of the student's weight and height, both male and female.

Extracts from this document...

Introduction

Year 10 math handling data coursework

Plan

The background objective of my study is to investigate my hypothesis (which will act as a basis for my findings) this will be carried out by analysing the data sheet which contains all the data of the student’s weight and height, both male and female.

I will then portray the data onto a number of sampling techniques I found in a text book so when I collected my data I will be using the following: scatter diagrams, line graphs, histograms, cumulative frequency tables, bar charts and frequency polygon.

This will make it much easier for me to conclude and will also be clear to others who come across this information when via these mediums it is presented onto a simple graph. After this data has been recorded, I will overlook my hypothesis and analyze if it concur add up. If not then my hypothesis was obviously wrong and misleading.

I will then make the correct hypothesis so that it corresponds with my graphs.

Middle

Bar chart.

Scatter diagrams

Diagram A.                                                            Diagram B.

I have made two different sorts of scatter diagrams with the same data. Diagram A is not in ascending order whereas diagram B is in ascending order with the lowest heights to the highest. On diagram B, there is no need for me to place a line of best fit as it is already in order and shows a strong and positive correlation whereas surprisingly diagram A, which is the same data shows a weak negative correlation.

Y = mx + c

Y = mx+ cis the general equation for a straight line graph.

“M” is equal to the gradient of the graph        “C” is the value where it crosses the y-axis and is called the intercept.

These are cumulative frequency tables which I have produced

Conclusion

3/4 of the total frequency, we can read estimates of the lower quartile, median and upper quartile from the horizontal axis.

I have drawn on the lower median and upper quartile.

The shape of the cumulative frequency curve tells us how spreads out the data values are.

I have made two other cumulative frequency graphs with the same male data. I wanted to see if the data’s conclusions could be seen in a different and possibly clearer way. I think that the 3D graph is a clear visual of the data presented.

I used Microsoft office excel to make all these assorted graphs and charts. These help me and others to understand the data easier and for those who are weak at maths, it will be clear to them when the data is presented on a simple graph.

Interpreting and discussing results

I set out to find out if…

“Males are taller then females in year 10.” I found out that my original hypothesis was indeed correct. I used a various number of collected graphs and charts, in which these helped me in finding out if my assumptions were accurate and correct.

I found this out by collecting the data that I needed

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.

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