Answer:
An 99% confidence interval of the given proportion
(0.355 , 0.385)
Step-by-step explanation:
Given sample size n= 900
the number of successes in the sample is x=333
The proportion P = 
Q = 1-P =1 - 0.37 = 0.63
<u>Confidence interval</u>:-
99% of confidence interval zα = 2.93


(0.37 - 0.015 , 0.37 + 0.015)
(0.355 , 0.385)
<u>Conclusion</u>:-
<u>An 99% Confidence interval (0.355 , 0.385)</u>
Answer:
c
Step-by-step explanation:
I think that is the answer
Answer:
could you explain it more
Step-by-step explanation:
On a given line, (on one side) there are a total of 180°
if one line in Problem #3 is bisected by a line, with one half X and the other 120°,
do 180° (the total) minus 120° which=60°
now the hard part, that line that bisected the first line is bisecting a line that is parallel to your second line, the one with <5 and <6
this means that the big angle formed in the first one with 120° is the same angle as in the second line, leaving <5 as 120°
which means <6 is 60°, like in the top part of the problem. You're basically flipping the top line upside down, I hope it helps.
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.