Most major airlines allow passengers to carry two pieces of luggage​ (of a certain maximum​ size) onto the plane.​ However, their studies show that the more​ carry-on baggage passengers​ have, the longer it takes to unload and load passengers. One regional airline is considering changing its policy to allow only one​ carry-on per passenger. Before doing​ so, it decided to collect some data.​ Specifically, a random sample of 1,000 passengers was selected. The passengers were​ observed, and the number of bags carried on the plane was noted. Out of the 1,000 ​passengers, 363 had more than one bag. Complete parts a through d below. a. Based on this​ sample, develop and interpret a 95​% confidence interval estimate for the proportion of the traveling population that would have been impacted had the​ one-bag limit been in effect.   Determine the confidence interval.   ?? ——— ?? ​(Round to three decimal places as needed. Use ascending​ order.) Which statement below correctly interprets the confidence​ interval?     A. There is a 0.95 probability that the sample proportion of passengers with more than one​ carry-on bag is in the interval.   B. There is 95​% confidence that the population proportion of passengers with more than one​ carry-on bag is in the interval.   C. Of all the possible population proportions of passengers with more than one​ carry-on bag, 95​% are in the interval.   D. There is a 0.95 probability that the population proportion of passengers with more than one​ carry-on bag is in the interval. b. A certain plane has a capacity for 519 passengers. Determine an interval estimate of the number of passengers that you would expect to carry more than one piece of luggage on the plane. Assume the plane is at its passenger capacity.   An interval estimate is from ?? to ?? passengers. ​(Round to the nearest whole number as​ needed.) c. Suppose the airline also noted whether the passenger was male or female. Out of the 1,000 passengers​ observed, 615 were female. Of this​ group, 281 had more than one bag. Using these​ data, obtain and interpret a 95​% confidence interval estimate for the proportion of female passengers in the population who would have been affected by the​ one-bag limit.   Determine the confidence interval.

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Most major airlines allow passengers to carry two pieces of luggage​ (of a certain maximum​ size) onto the plane.​ However, their studies show that the more​ carry-on baggage passengers​ have, the longer it takes to unload and load passengers. One regional airline is considering changing its policy to allow only one​ carry-on per passenger. Before doing​ so, it decided to collect some data.​ Specifically, a random sample of

1,000

passengers was selected. The passengers were​ observed, and the number of bags carried on the plane was noted. Out of the

1,000

​passengers,

363

had more than one bag. Complete parts a through d below.

a. Based on this​ sample, develop and interpret a
95​%
confidence interval estimate for the proportion of the traveling population that would have been impacted had the​ one-bag limit been in effect.
 
Determine the confidence interval.
 
??
———
??
​(Round to three decimal places as needed. Use ascending​ order.)
Which statement below correctly interprets the confidence​ interval?
 
 
A.
There is a
0.95
probability that the sample proportion of passengers with more than one​ carry-on bag is in the interval.
 
B.
There is
95​%
confidence that the population proportion of passengers with more than one​ carry-on bag is in the interval.
 
C.
Of all the possible population proportions of passengers with more than one​ carry-on bag,
95​%
are in the interval.
 
D.
There is a
0.95
probability that the population proportion of passengers with more than one​ carry-on bag is in the interval.
b. A certain plane has a capacity for
519
passengers. Determine an interval estimate of the number of passengers that you would expect to carry more than one piece of luggage on the plane. Assume the plane is at its passenger capacity.
 
An interval estimate is from
??
to
??
passengers.
​(Round to the nearest whole number as​ needed.)
c. Suppose the airline also noted whether the passenger was male or female. Out of the
1,000
passengers​ observed,
615
were
female.
Of this​ group,
281
had more than one bag. Using these​ data, obtain and interpret a
95​%
confidence interval estimate for the proportion of
female
passengers in the population who would have been affected by the​ one-bag limit.
 
Determine the confidence interval.
 
??
———
??
​(Round to three decimal places as needed. Use ascending​ order.)
Which statement below correctly interprets the confidence​ interval?
 
 
A.
Of all the possible population proportions of
female
passengers with more than one​ carry-on bag,
95​%
are in the interval.
 
B.
There is a
0.95
probability that the population proportion of
female
passengers with more than one​ carry-on bag is in the interval.
 
C.
There is
95​%
confidence that the population proportion of
female
passengers with more than one​ carry-on bag is in the interval.
 
D.
There is a
0.95
probability that the sample proportion of
female
passengers with more than one​ carry-on bag is in the interval.
d. Suppose the airline decides to conduct a survey of its customers to determine their opinion of the proposed​ one-bag limit. The plan calls for a random sample of customers on different flights to be given a short written survey to complete during the flight. One key question on the survey will​ be: "Do you approve of limiting the number of​ carry-on bags to a maximum of one​ bag?" Airline managers expect that only about
20​%
will say​ "yes." Based on this​ assumption, what size sample should the airline take if it wants to develop a
95​%
confidence interval estimate for the population proportion who will say​ "yes" with a margin of error of
±0.02​?
 
The airline should survey
?
passengers.
​(Round up to the nearest whole number as​ needed.)
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