Answer :
The Solution.
The probability that an experiment involve yawning is given as below:
[tex]\text{Pr(Y)}=\frac{13}{17}[/tex]The probability that an experiment does not involve yawning is
[tex]Pr(X)=1-Pr(Y)=1-\frac{13}{17}=\frac{4}{17}[/tex]By Binomial expansion, we have that
[tex](Y+X)^{14}=^{14}C_0(Y^{14})(X^0)+^{14}C_1(Y^{13})(X^1)+\ldots^{14}C_{11}(Y^{11})(X^3)+\cdots[/tex]So, the probability that exactly 11 out of the randomly chosen 14 experiments involve yawning is
[tex]Pr(\text{exactly 11 experiments involve yawning)=}^{14}C_{11}(Y^{11})(X^3)[/tex][tex]Pr(\text{exactly 11 experiments involve yawning)=}\frac{14!}{(14-11)!11!}_{}\times(\frac{13}{17}^{})^{11}(\frac{4}{17})^3[/tex][tex]Pr(\text{exactly 11 experiments involve yawning)=}\frac{14\times13\times12\times11!}{3!11!}_{}\times(\frac{13^{11}\times4^3}{17^{14}})^{}^{}^{}[/tex][tex]Pr(\text{exactly 11 experiments involve yawning)=}14\times13\times2_{}\times(\frac{13^{11}\times4^3}{17^{14}})[/tex][tex]\begin{gathered} Pr(\text{exactly 11 experiments involve yawning)= 364}_{}\times(\frac{13^{11}\times4^3}{17^{14}}) \\ \\ =364\times(\frac{13^{11}\times4^3}{17^{14}})=0.24796\approx0.2480 \end{gathered}[/tex]Thus, the correct answer is 0.2480