Respuesta :
Given:
Percentage of people over 65 = 53%
Sample = 15
Let's solve for the following:
• (a). Exactly 8 of the patients were over the age of 65 when they had their surgery?
Here, we are to apply binomial probability.
We have:
[tex]\begin{gathered} P(x=8)=(^{15}_8)(0.53)^8(1-0.53)^{15-8} \\ \\ P(x=8)=(^{15}_8)(0.53)^8(0.47)^7 \\ \\ p(x=8)=0.2030 \end{gathered}[/tex]The probability is 0.2030
• (b). Fewer than 10 of the patients were over the age of 65 when they had their surgery?
Here, we are to find P(x < 10).
Using binomial probability, we have:
[tex]\begin{gathered} P(x<10)=P(x=0)+P(x=1)+P(x=2)+P(x=3)......P(x=9) \\ \\ P(x<10)=\sum_{x\mathop{=}0}^9(^{15}_x)(0.53)^x(1-0.53)^{15-x} \\ \\ Using\text{ the calculator, we have:} \\ P(x<10)=0.7875 \end{gathered}[/tex]The probability is 0.7875
• (c). Between 6 and 11 of the patients were over the age of 65 when they had their surgery?
Since between does not include the endpoints of the interval, we are to find:
P(6 < x < 11) = P(x = 7) + P(x = 8) + P(x = 9) + P(x = 10)
Hence, we have:
[tex]\begin{gathered} P(6The probability is 0.6814• (d). More than 12 of the patients were over the age of 65 when they had their surgery?
We are to find P(x > 12) = P(x = 13) + P(x = 14) + p(x = 15)
[tex]\begin{gathered} P(x>12)=\sum_{x\mathop{=}13}^{12}(_x^{15})(0.53)^x(1-0.53)^{15-x} \\ \\ P(x>12)=0.0071 \end{gathered}[/tex]• (e). Would it be unusual that all 15 of the patients were over the age of 65 when they had their surgery?
We are to find P(x = 15):
[tex]\begin{gathered} P(x=15)=(^{15}_{15})(0.53)^{15}(1-0.53)^{15} \\ \\ P(x=15)=(_{15}^{15})(0.53)^{15}(0.47)^{15} \\ \\ P(x=15)=0.0001 \end{gathered}[/tex]ANSWER:
• (a). 0.2030
,• (b). 0.7875
,• (c). 0.6814
,• (d). 0.0071
,• (e). 0.0001
