Answer:
a) 0.48
b) 0.6645
c) 12.5
Step-by-step explanation:
For each person, there are only two possible outcomes. Either they are left-handed, or they are not. The probabilities of each person being left-handed are independent. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
Probability of exactly x sucesses on n repeated trials, with p probability.
The expected value of the binomial distribution is:
![E(X) = np](https://tex.z-dn.net/?f=E%28X%29%20%3D%20np)
The standard deviation of the binomial distribution is:
![\sqrt{V(X)} = \sqrt{np(1-p)}](https://tex.z-dn.net/?f=%5Csqrt%7BV%28X%29%7D%20%3D%20%5Csqrt%7Bnp%281-p%29%7D)
The number of trials expected to find r sucesses is given by
![N = \frac{r}{p}](https://tex.z-dn.net/?f=N%20%3D%20%5Cfrac%7Br%7D%7Bp%7D)
In this problem we have that:
Assume that 8% of people are left-handed. We select 6 people at random.
This means that ![p = 0.08, n = 6](https://tex.z-dn.net/?f=p%20%3D%200.08%2C%20n%20%3D%206)
a) How many lefties do you expect?
![E(X) = np = 6*0.08 = 0.48](https://tex.z-dn.net/?f=E%28X%29%20%3D%20np%20%3D%206%2A0.08%20%3D%200.48)
b) With what standard deviation?
![\sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{6*0.08*0.92} = 0.6645](https://tex.z-dn.net/?f=%5Csqrt%7BV%28X%29%7D%20%3D%20%5Csqrt%7Bnp%281-p%29%7D%20%3D%20%5Csqrt%7B6%2A0.08%2A0.92%7D%20%3D%200.6645)
c) If we keep picking people until we find a lefty, how long do you expect it will take?
Number of trials to find 1 success. So
![N = \frac{r}{p} = \frac{1}{0.08} = 12.5](https://tex.z-dn.net/?f=N%20%3D%20%5Cfrac%7Br%7D%7Bp%7D%20%3D%20%5Cfrac%7B1%7D%7B0.08%7D%20%3D%2012.5)