assume a probability distribution with a mean of %10 and standard deviation of %1.5. In wanting to solve the probability being lower than %5, the normal distribution is written down and integrated as follows:
$\int_{-∞}^{0.05} e^{(-\frac{1}{2} ((x - 0.1)/0.015)^2)}/(\sqrt{2 π} 0.015) dx = 0.00042906$
which gives %0.04
if you calculate it through the z score(assuming a sample size of 10) it would be:
Z=(0.05-0.10)/(0.015/sqrt(10))=-10.5409
looking at a z score table would then give a probability of 2.798*10^-26
why do the two approaches give different answeres?
sqrt(10)
come from? Clearly, $$z\equiv \frac{x-\mu}{\sigma}=-10/3$$, and $N(z)=0.0042906$ $\endgroup$