The aim of this work is to find out if there is a correlation between the temperature and the humidity in Cambridge.

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MATHS COURSEWORK

AIM:

The aim of this work is to find out if there is a correlation between the temperature and the humidity in Cambridge. I will collect my data from points in and around Cambridge

HYPOTHESIS

        I predict that as the humidity increases the temperature will decrease.

PLAN

        I have decided to collect my data in Cambridge using two accurate instruments, a digital thermometer and a digital hygrometer. These will provide me with accurate samples of the temperature and humidity at the different survey points. I also believe that the height of the buildings (i.e. 1 story, 2 story …etc) and the type of land (grass, concrete … etc) will affect at least one of the 2 probables in my data. I suspect that collecting more than 2 sets of data will give me a wide range of things to discuss. As well as this I believe having this wide range of data may help to explain any anomalies that may occur.

The sixty survey points I am going to collect data from will be decided for me when I go on my geography trip. This is not an ideal situation however these survey points are wide ranged and have a variety of different surroundings so they should give me a wide range of results.

The theoretical ideal situation would be to use a random number generator which would give 60 points on a map creating a sample which was random. However this would result in a problem as the random generator would quite often give me a co-ordinate that is inaccessible. Even though my data is not random I am collecting primary data.

I believe collecting data from different heights will change the temperature as well as the humidity so I will record at different heights around Cambridge; this is because every 10 metres climbed the temperature drops by 1%. Pedestrian density may also affect the results due to respiration; this will make the data more biased. Cars will also affect the humidity and temperature; this will also cause a problem as the more densely populated area will have a higher temperature and humidity compared to the other survey points.

I will try to take the readings at as simultaneously as possible. I will use a digital thermometer which is accurate to 0.1%, and a digital hygrometer which is accurate to every 1%. All data will also be collected in the shade so the equipment will not be in direct sunlight.

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After I have collected my primary data I will collect secondary data to further test my hypothesis.

RAW DATA

The letters in the third column describe the type of land around the reading point. This is the key to those letters.

        

BIASES

I believe there may well be a bias in the height in the buildings as I explained above so I want to have a look at my data to see if my data is biased as I believe the data will be affected by the nearby buildings. The bar chart below shows ...

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