​b) Find a​ 90% confidence interval for the true percentage of flights that depart on time.   nothing<μ(OT Departure%)

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What are the chances your flight will leave on​ time? To the right are a histogram and summary statistics for the percentage of flights departing on time each month from
2001
thru 2006. There is no evidence of a trend over time. Complete parts​ (a) through​ (c) below.
n
  72
 
y
80.5417
 
s
3.04576
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
65809505101520OT Departure %# of Months
 
  •  
  •  
  •  
A histogram with horizontal axis labeled “On Time Departure percentage” from 65 to 95 with bin width of 1 and vertical axis labeled “Number of Months” from 0 to 20 in intervals of 1 contains vertical bars with heights that exhibit behavior from left to right over intervals on the horizontal axis as follows: a steady increase from 1 to 7 on the interval 67 to 81, a fast increase from 7 to 13 on the interval 81 to 82, a fast decrease to 6 on the interval 82 to 83, then a steady decrease from 6 to 0 on the interval 83 to 90; there are no bars on the interval 90 to 95.
​a) Check the assumptions and conditions for inference.
 
Is the independence assumption​ met?
 
 
No
 
Yes
Is the randomization condition met or is the sample suitably​ representative?
 
 
No
 
Yes
Is the​ 10% condition​ met?
 
 
Yes
 
No
Is the nearly normal condition​ met?
 
 
Yes
 
No
​b) Find a​ 90% confidence interval for the true percentage of flights that depart on time.
 
nothing<μ(OT Departure%)<nothing
​(Round to two decimal places as​ needed.)
 
​c) Interpret this interval for a traveler planning to fly.
Choose the correct answer below.
 
A.
There is a​ 90% chance that the true mean monthly percentage of​ on-time departures is within the interval.
 
B.
A randomly selected month has a​ 90% chance of having an​ on-time departure percentage within the interval.
 
C.
​90% of all months have​ on-time departure rates within the interval.
 
D.
We can be​ 90% confident that the interval contains the true mean monthly percentage of​ on-time departures.
 
 
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