First factor (x square -36), the answer will be (x+6)(x-6).
Second, cancel the x .
6x/ (x+6)(x-6)
4x/(6)(-6)
4x/-36
Answer:
a) The probability that the airline will lose no bags next monday is 0.1108
b) The probability that the airline will lose 0,1, or 2 bags next Monday is 0.6227
c) I would recommend taking a Poisson model with mean 4.4 instead of a Poisson model with mean 2.2
Step-by-step explanation:
The probability mass function of X, for which we denote the amount of bags lost next monday is given by this formula

a)

The probability that the airline will lose no bags next monday is 0.1108.
b) Note that
. And

Therefore, the probability that the airline will lose 0,1, or 2 bags next Monday is 0.6227.
c) If the double of flights are taken, then you at least should expect to loose a similar proportion in bags, because you will have more chances for a bag to be lost. WIth this in mind, we can correctly think that the average amount of bags that will be lost each day will double. Thus, i would double the mean of the Poisson model, in other words, i would take a Poisson model with mean 4.4, instead of 2.2.
Answer:
A-100
Step-by-step explanation:
Use the Pythagorean therom.
a^2+b^2=c^2
6^2+8^2=c^2
36+64=100.
Hope this helps. Kinda confused me.
check the picture below.
notice, a function that is decreasing, namely have a negative slope, doesn't have to be negative.
Answer:
The average age of pilots has a lower coefficient of variation, so it is the most consistent data set.
Step-by-step explanation:
The coefficient of variation is used to measure consistency of a data set. It is the standard deviation divided by the mean. The higher the coefficient of variation, the more variable, that is, the least consistent the data set is.
The average number of newspapers for sale in an airport stand is 15. SD is 6.
The consistency is:

The average age of the pilots is 36 and SD is 4.
The consistency is:

The average age of pilots has a lower coefficient of variation, so it is the most consistent data set.