In: Statistics and Probability
3. Probability+ Central Limit Theorem questions:
a. The return on investment is normally distributed with a mean of 10% and a standard deviation of 5%. What is the probability of losing money?
b. An average male drinks 2 liter of water when active outdoor (with a standard deviation of 0.7). An organization is planning for a full day outdoor for 50 men and will bring 110 liter of water. What is the probability that the organization will run out of water? (8)
c. The lifetime of a certain battery is normally distributed with a mean of 10 hours and standard deviation of 1 hour. There are 4 such batteries in the package.
i. What is the probability that the lifetime of all 4 batteries exceed 11 hours?
ii. What is the probability that the total lifetime of all 4 batteries will exceed 44 hours.
a)
for normal distribution z score =(X-μ)/σ | |
here mean= μ= | 10 |
std deviation =σ= | 5.0000 |
probability of losing money:
probability = | P(X<0) | = | P(Z<-2)= | 0.0228 |
b)
here to run out of water average comsumption should be greater than =110/50=2.2 litre
for normal distribution z score =(X-μ)/σ | |
here mean= μ= | 2 |
std deviation =σ= | 0.7000 |
sample size =n= | 50 |
std error=σx̅=σ/√n= | 0.0990 |
probability = | P(X>2.2) | = | P(Z>2.02)= | 1-P(Z<2.02)= | 1-0.9783= | 0.0217 |
c)
i) probability that lifetime of one such battery exceed 11 hours=P(X>11)=P(Z>(11-10)/1)=P(Z>1)=0.1587
hence probability that the lifetime of all 4 batteries exceed 11 hours =(0.1587)4 =0.0006
ii)
total life time will exceed 44 hours if average battery life will increase 11 hours
here
here mean= μ= | 10 |
std deviation =σ= | 1.0000 |
sample size =n= | 4 |
std error=σx̅=σ/√n= | 0.5000 |
probability = | P(Xbar>11) | = | P(Z>2)= | 1-P(Z<2)= | 1-0.9772= | 0.0228 |