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• Level: GCSE
• Subject: Maths
• Word count: 1727

# My first hypotheses I will be testing is: 'Pupils with a higher IQ level tend to have higher Key Stage 2 results.'

Extracts from this document...

Introduction

Rachel Burrow

I am going to look at two variables for my data handling investigation; IQ level and Key Stage two results. I am going to investigate whether a student’s level of IQ affects their attainment grades in their Key stage two tests. For my investigation I will be using data from Solent high school regarding 11-14 year old pupils.

IQ is the ratio between a person’s mental age (mental attainment based on the average age of a child at that level) and their chronological age multiplied by 100, and this produces the average IQ as 100.

MA/CA x 100 = IQ, from this both MA and CA are continuous measures therefore the resulting IQ will be continuous, yet in normal usage IQ is always quoted as discrete data..

I am going to add together the results for Maths, English and Science for all the Key Stage 2 results to give a total Key Stage 2 result. This will enable me to plot one set of data results instead of 3.I will then be able to see if there is any correlation between the 2 variables. This is also discrete date as the values are all whole numbers.

My first hypotheses I will be testing is:

Middle

students from all year groupsdifferent levels of intelligencedifferent Key Stage two results
 6043796876211011879088389375211101125261444502551197122396911 2551104403605477439207108057979637943681957437678593907481158 51511551093325718969827798606798913523171122208285989587558689

These are the corrections I made to the data. I erased these pupils results because the IQ levels are incorrect and they are all missing a science KS2 result.

 1110 11 Lewis James Male Maths 1.68 5 4

Conclusion

• For all  the students the range was         117- 84 = 33
• For the male students the range was    116-86= 30
• For the female students the range was  117- 84 = 33

Second Hypothesis

‘Male students have a higher IQ on average than females’

I used excel to find the mean to calculate the mean from the list of numbers

I used the formula      ∑x    to check the calculation made by the computer.

N

Mean for female IQ levels = 100.6818

Mean for male IQ levels    = 100.7143

These results for the mean male and female IQ levels do not prove my hypothesis because the results are very similar. The mean of the male IQ is not considerably more than the mean for the females. So it does support the hypothesis that the males have a higher IQ level but it is not a conclusive finding because the results are very similar. If I was to do this investigation again I would use a larger sample of the population as this would make my results more accurate.

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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