Although the binomial distribution is discrete, in many cases it can be modeled using a normal distribution. IfXis binomial with mean =μxand standard deviation =σx,then we can define a new random variableY that is normal with the same mean and same standard deviation. In this case under certain assumptions,P(X≤x) ≈P(Y≤x). This relationship is most useful whenXhas a large number of trials. IfXis binomial with a mean of 25 and a standard deviation of 4.33 (n= 100, p = 0.25), what isP(X≤ 23) using the normal approximation discussed here?
◦
0.3228
◦
0.4300
◦
0.4500
◦
0.6772