Respuesta :
Answer:
1) [tex] E(X) = np = 120*0.1 =12[/tex]
[tex] SD(X) = \sqrt{np(1-p)}= \sqrt{120*0.1*(1-0.1)} =3.286[/tex]
For this case we can interpret that the expected variation around the mean is about 3.3 people approximated
2) [tex] P(X\geq 16)[/tex]
And we can use the normal approximation given by:
[tex] X \sim N(12, \sigma =3.286) [/tex]
And we can use the z score formula given by:
[tex] z = \frac{X -\mu}{\sigma}[/tex]
And if we find the z score for 16 we got:
[tex] z = \frac{16-12}{3.286}= 1.217[/tex]
And we can find this probability using the normal standard distribution or excel and we got:
[tex] P(Z>1.217) = 0.112[/tex]
3) For this case we can conclude that the probability to find 16 or more individuals left handed in a sample of 120 is about 0.112 or 11.2%
Step-by-step explanation:
Let X represent the random variable for the number of residents who are left handed
And for this case we can model this variable with this distirbution:
[tex] X\sim Binom(n= 120 , p =0.1)[/tex]
Part 1
The mean is given by:
[tex] E(X) = np = 120*0.1 =12[/tex]
And the deviation would be:
[tex] SD(X) = \sqrt{np(1-p)}= \sqrt{120*0.1*(1-0.1)} =3.286[/tex]
For this case we can interpret that the expected variation around the mean is about 3.3 people approximated
Part 2
We want to calculate this probability:
[tex] P(X\geq 16)[/tex]
And we can use the normal approximation given by:
[tex] X \sim N(12, \sigma =3.286) [/tex]
And we can use the z score formula given by:
[tex] z = \frac{X -\mu}{\sigma}[/tex]
And if we find the z score for 16 we got:
[tex] z = \frac{16-12}{3.286}= 1.217[/tex]
And we can find this probability using the normal standard distribution or excel and we got:
[tex] P(Z>1.217) = 0.112[/tex]
Part 3
For this case we can conclude that the probability to find 16 or more individuals left handed in a sample of 120 is about 0.112 or 11.2%