The question is incomplete. Here is the complete question.
Nite Time Inn has a toll-free telephone number so that customers can call at any time to make a reservation. A typical call takes about 4 minutes to complete, and the time required follows an exponential distribution. find the probability that a call takes
a) 3 minutes or less
b) 4 minutes of less
c) 5 minutes of less
d) Longer than 5 minutes
e) Longer than 7 minutes
Answer: a) P(X<3) = 0.882
b) P(X<4) = 0.908
c) P(X<5) = 0.928
d) P(X>5) = 0.286
e) P(X>7) = 0.174
Step-by-step explanation: <u>Exponential</u> <u>distribution</u> is related with teh amount of time until some specific event happens.
If X is a continuous random variable, probability is calculated as:

in which:
m is decay parameter, given by: 
For the Nite Time Inn calls:

m = 0.25
(a) P(X<3)



P(X < 3) = 0.882
<u>The probability the call takes less than 3 minutes is 0.882.</u>
(b) P(X<4)


P(X < 4) = 0.908
<u>The probability the call takes less tahn 4 minutes is 0.908.</u>
(c) P(X<5)


P(X < 5) = 0.928
<u>The probability of calls taking less than 5 minutes is 0.928.</u>
(d) P(X>5)
Knowing that the sum of probabilities of less than and more than has to equal 1:
P(X<x) + P(X>x) = 1
P(X>x) = 1 - P(PX<x)


For P(X>5):

P(X > 5) = 0.286
<u>The probability of calls taking more than 5 minutes is 0.286.</u>
(e) P(X>7)


P(X > 7) = 0.174
<u>The probability of calls taking more than 7 minutes is 0.174.</u>
Answer:12
Step-by-step explanation:
Answer:
Simpson's paradox
Step-by-step explanation:
Since in the given situation it is mentioned that the median salary of the female professor would be less than the median salary of male. If there is any further investigation so we get to know that the salary of male & female professor is same in each and every department
So here the simpson paradox should be considered as if there is any change in weightage that lies between participation & success so we can get a contradictory view
Therefore the same would be considered
A) 3 Meses.
Começo-> 30--18
1 mês-> 31--23
2 meses-> 32--28
3 meses-> 33--33
Espero ter ajudado :)