The probability density function of the time you arrive at a terminal (in minutes after 8: 00 a. m.) is f(x) = 0.1 exp(−0.1x) for 0 < x. determine the probability that a. you arrive by 9: 00 a. m. b. you arrive between 8: 15 a. m. and 8: 30 a. m. c. you arrive before 8: 40 a. m. on two or more days of five days. assume that your arrival times on different days are independent. d. determine the cumulative distribution function and use the cumulative distribution function to determine the probability that you arrive between 8: 15 a. m. and 8: 30 a. m

a. 9:00 AM is the 60 minute mark:

b. 8:15 and 8:30 AM are the 15 and 30 minute marks, respectively. The probability of arriving at some point between them is

c. The probability of arriving on any given day before 8:40 AM (the 40 minute mark) is

The probability of doing so for at least 2 of 5 days is

i.e. you're virtually guaranteed to arrive within the first 40 minutes at least twice.

d. Integrate the PDF to obtain the CDF:

Then the desired probability is

76%

step-by-step explanation:

24% are dogs and the remaining is 76% because 100-24=76

(f - g)(x) = 5x^3 - 3

step-by-step explanation:

rearrange these functions vertically, with like terms in separate columns:

f(x) = 5x^3 - 2

g(x) =         +1

now subtract, column by column:

(f - g)(x) = 5x^3 - 3