1/ On average, the parts from a supplier have a mean of 97.5 inches and a standard deviation of 12.2 inches. Find the probability that a randomly selected part from this supplier will have a value between 85.3 and 109.7 inches. Is this consistent with the Empirical Rule of 68%-95%-99.7%?
2/ A stock's price fluctuations are approximately normally distributed with a mean of $104.50 and a standard deviation of $23.62. You decide to purchase whenever the price reaches its lowest 15% of values. What is the most you would be willing to pay for the stock?
Please, help me solve above problems. thank you
1)Solution :
Given that ,
mean = = 97.5
standard deviation = = 12.2
P( 85.3 < x < 109.7) = P((85.3 - 97.5)/ 12.2) < (x - ) / < (109.7 - 97.5) / 12.2) )
= P(-1 < z < 1)
= P(z < 1) - P(z < -1)
= 0.8413 - 0.1587
= 0.6826
Probability = 0.6826
consistent with the Empirical Rule of 68%-95%-99.7 = Yes
2) mean = = $104.50
standard deviation = = $23.62
Using standard normal table,
P(Z < z) = 15%
P(Z < z) = 0.15
P(Z < -1.04) = 0
z = -1.04
Using z-score formula,
x = z * +
x = -1.04 * 23.62 + 104.50
x = 79.94
willing to pay for the stock = 79.94
Get Answers For Free
Most questions answered within 1 hours.