Pls help with this question we are using the factorial “!”

ANSWER
P(X = 1) = 0.393
EXPLANATION
X follows a binomial distribution, where success is "a person arrives late". The probability of success is p = 0.125 and the number of trials is n = 7,
[tex]X\sim B(7,.125)[/tex]The probability that exactly x people will arrive late is,
[tex]P(X=x)=_nC_x\cdot p^x\cdot(1-p)^{n-x}[/tex]So the probability that one person arrives late is,
[tex]P(X=1)=_7C_1\cdot0.125^1\cdot(1-0.125)^{7-1}=\frac{7!}{1!\cdot6!}\cdot0.125\cdot0.825^6\approx0.393[/tex]Hence, the probability that exactly one person will arrive late in a 7-person department is 0.393, rounded to the nearest thousand.