Answer:
There is evidence. It can be rejected, with 95% of confidence, that there is no dropout.
Step-by-step explanation:
The hypothesis for the school gives us a binomial random variable B(n = 1782, p = 10.3/100 = 0.103. This variable can be approximated to a Normal random variable with mean 1782*0.103 = 183.546 and a variance of 1782*0.103(1-0.103) = 164.64. Hence its standard deviation is √164.64 = 12.83
In order to irfer that the dropout is increasing or not, we can calculate the probability of obtaining a sample as the given to us for that school. Is the probability is very low, then we can confirm that the drop out increased.
Lets call X the dropout distribution of the school. X is approximately N(183.645, 12,83). If we standarize X, we obtain a variable Z with distribution Standard Normal N(0,1)
[tex] Z = \frac{Z-183.546}{12.83} [/tex]
The values of the cummulative distribution of the standard normal, [tex] \phi [/tex] can be found in the attached file.
[tex]P( X > 210) = P(\frac{X-183.546}{12.83} > \frac{210-183.546}{12.83} = 2.06) = P(W > 2.06)\\\\ = 1-\phi(2.06) = 1-0.9803 = 0.0197[/tex]
Since the probability of X being greater than 210 is quite low (less than 0.05), we can reject the hypothesis that there isnt a dropout with confidence 95%.