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For my investigation, I am going to see if there is a similarity between the number of hours watched of television per week and their personal IQ for year 10's and 11's in key stage 4.

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Introduction

Maths Coursework Introduction and Hypothesis For my investigation, I am going to see if there is a similarity between the number of hours watched of television per week and their personal IQ for year 10's and 11's in key stage 4. I am trying to prove that the less television they watch, the higher their IQ will be as TV time means less time for school work. I downloaded the data from the Internet (from edexcel) and I copied the information on to the Excel spreadsheet. Method Firstly, I will create a graph (scatter graph) to see if there is a difference between the number of hours watched of television per week and their personal IQ of both males and females together. The formula for the line of best fit (trend line) will identify if there is any relationship. The closer the integer in front of the 'x' is to zero, the less there is any correlation. ...read more.

Middle

The type of graph Males Females Male and Female Equation from the graphs y=0.0778x + 98.775 y=-0.0043x + 100.51 y=0.029x + 99.761 As one can see from the table, there is a difference with the slope of the trend line in the graphs. However, there is no or almost no correlation for any of the graphs. I then wanted to find out some information about the distribution of the males and females in year 10 and 11. Therefore, I worked out the maximum, the minimum, the lower and upper quartiles of the data and the median. The results are as followed: * Median = 100.5 * 1st Quartile = 95 This is for the graph on the females. * Minimum Value = 11 * Maximum Value = 126 * 3rd Quartile = 105 * Median = 102 * 1st Quartile = 92 This is for the graph on the males. * Minimum Value = 14 * Maximum Value = 131 * 3rd Quartile = 106.25 I then used these results to draw box plots. ...read more.

Conclusion

104 6) 21 To find the random numbers for year 11, I did shift Ran# x 170. The random numbers for year 11 are as follows: 1. 165 2. 63 3. 80 4. 150 5. 56 6. 94 7. 123 8. 114 9. 75 I then drew a graph for these random numbers in both years 10 and 11 and compared the equations and lines of best fit. Once again, we see that there is almost no correlation and that there is no similarity between the amount of television watched per week and their IQ. Conclusion Throughout the project, I have gathered a lot of information from Mayfield School and used it for my maths coursework. Whilst completing my project, I drew up a lot of graphs and box plots using specific information to try and prove if the number of hours children spent watching television, affected their personal IQ. Overall, there was absolutely no similarity between these two factors. However, all the equations from the graphs were 'y= 0. ___' but these numbers were not significant enough for there to be any positive or negative correlation. Alistair Pell 11RMS ...read more.

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