SOLUTION: The annual rate of return on investment in “Apple Company Fund” is normally distributed with mean of 20% and a standard deviation of 40%.
(i) What is the probability that the
Algebra ->
Probability-and-statistics
-> SOLUTION: The annual rate of return on investment in “Apple Company Fund” is normally distributed with mean of 20% and a standard deviation of 40%.
(i) What is the probability that the
Log On
Question 1150680: The annual rate of return on investment in “Apple Company Fund” is normally distributed with mean of 20% and a standard deviation of 40%.
(i) What is the probability that the annual rate of return on investment in “Apple Company Fund” is between 5% and 50%?
(ii) Determine the annual rate of return such that the probability of exceeding it is 0.05. Answer by Theo(13342) (Show Source):
probability the rate of return is between 5% and 50% is equal to .4195.
annual rate of return such that the probability of exceeding it is .05 would be 85.794%.
here are the visuals.
if you don't have such a calculator as the one i used (found at http://davidmlane.com/hyperstat/z_table.html), then you might have to work with z-scores as shown below.
i)
z-score for annual rate of return of .05 is z = (5 - 20 / 40 = -.375.
z-score for annual rate of return of .5 is z = (50 - 20) / 40 = .75
area under the normal distribution curve to the left of z = -.375 = .35383.
area under the normal distribution curve to the left of z = .75 = .77337
area in between = .77337 - .35383 = .4195 rounded to 4 decimal places.
z-score that has area to the right of it of .05 is the same as z-score that has area of .95 to the left of it.
z-score with area of .95 to the left of it is equal to 1.64485.
raw score associated with that z-score is 1.64485 = (x - 20) / 40.
solve for x to get x = 1.64485 * 40 + 20 = 85.794.
i worked with percents, but you could also work with rates.
rate = percent / 100
percent = rate * 100
the z-score formula is z = (x - m) / s
z is the z-score
x is the raw score
m is the raw mean
s is the standard deviation or the standard error.
in this case, standard deviation is used.