Investigation on Attendence and Grade Mayfield High

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In my investigation I will try to find a relationship between Attendence (%) and GCSE maths (%) of from a sample of 200 students. I will be using a set of secondary data to pick my sample of students.

To start my investigation by picking 25 random students from the sample, I will do this by using a calculator.

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However I have found that the method of random sampling is not accurate as the calculator was giving me larger numbers than the sample size. Also I have found that random sampling does not give me an even spread of data, therefore my sample of data will be inaccurate.

Futhermore I have chose to use a more systamatic approach. Therefore I will get a sample with an even spread of data which will be spead out over the sample rather then clustered.

I have chosen to systamatically pick a sample of 25 by picking every 8th student from the data.

200/8 = 25

After choosing my sample of 25 I will go on to organise my data by putting my data into a tally. Once I have done this I will show my data onto a bar graph comparing the Attendence (%) and GCSE maths (%) simply to show me the mode. To display my data properly I will use a frequency polygon. I then will go on to do a stem and leaf diagram comparing the Attendence (%) and GCSE maths (%) of students to find out the median.

After I have done this I will plot my data Attendence (%) and GCSE maths (%) onto a scatter grapgh. Using the line of best fit I will look for a correlation to show me the relationship between the Attendence (%) and GCSE maths (%).

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I will then go on to do a cumulative frequency diagram this will show me a spread of my data. I will then find the upper quartile, lower quartile and the median. By doing this I will do a box and whiskers diagram using the box and whiskers I will compare my results.

Once I have done all this for the mixed data I will extend my investigation by following the same procedure as above. But choosing a sample of 25 males and 25 females using the systamatic sampling method.

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