Myopia Rate of Ies Student

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Myopia rate of IES student

QIWU(Willie)

MAf11 Owen

The topic of my math project is what is myopia rate of different classes of IES. With the development of electronic products, people’s eyes afford more stress than before, especially the student. Dolgin (2015) stated that more and more children have to wear the glasses when they watch something and the hospital was bursting at the seams. And Mitchell et al (2013) claimed that “Prevalence of myopia increased between baseline and follow-up for both the younger (1.4%–14.4%; P<0.0001) and older cohorts (13.0%–29.6%; P<0.0001). In addition, these two sources are valid because they were written by professional book or journal article. Because IES students have many works to do and contact to the phone or computer for a long time, we can get a plenty of data about the project. At the same time, the health of eyes is important for everyone, so we think the project is worthwhile. And the project can use to get differences of myopia rate between IES students and some Australians, which is the purposes of our project.

We get the null hypothesis which is 13% from the internet, but in our survey, the myopia rate of IES students which is the alternative hypothesis is larger than the null hypothesis. In order to prove the truth of our data, we get the data from two different teaching building of IES. Because of the randomness and authenticity of the sample is important, I and my partner survey 20 classes respectively in different time. Each of picked up 4 classes randomly from each floor. And we would not tell opposite party about our own data until the survey is finished.

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Some formulas: , , .        [pic 2][pic 3][pic 4]

So it was expected that the myopia rate of IES is more than the compared value which is the public’s myopia rate, at a significance level of 0.05. And from the graph we can see that it is a right-tailed test. Firstly, we got the sample mean by the formula AVERAGE (B5:B24). Secondly, according to the formula STDEV (B5:B24) and G7/SQRT(G4), we can get the sample standard deviation and standard error. Lastly, by the formula (G6-G11)/G8, we can get our observed value is 7.803. It is obverse that the observed value is far from the critical value (1.729133). So we can reject the null hypothesis. In conclusion, the myopia rate od IES’s students is larger than 13% when the significance level is 0.05.

According to the survey, we have proved IES students ‘s myopia rate is higher than average in Australia. To be honest, we would collect more data group and expand the sample size to make our more reliable and accurate. For the further research, we can survey why IES students have the higher myopia rate or how much time do they use in mobile phone and computer.

 Data 65.20% 46.20% 66.70% 68..2% 100% 23% 60% 61.90% 40% 65.20% 63.20% 55% 63.20% 66.70% 52.90% 23.50% 15% 26.30% 23.80% 52.90%

 n = 19 sum = 9.707 sample mean ( x̄ ) = 0.51 sample standard deviation (s) = 0.21 standard error = 0.048810524 t - observed = 7.803537193 alpha = 0.05 Compared value ( μH ) = 0.13 two - tailed t - critical value = 2.10092204 one - tailed t - critical value = 1.734063607 CHECKS mean = 0.510894737 s = 0.21276014

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