Flying Home for the Holidays, On Time The dataset DecemberFlights contains the difference between actual and scheduled arrival time from 1000 randomly sampled December flights for two of the major North American airlines, Delta Air Lines and United Air Lines. A negative difference indicates a flight arrived early. Suppose that we are only interested in the proportion of flights arriving more than 30 minutes after the scheduled time. Of the 1000 Delta flights, 67 arrived more than 30 minutes late, and of the 1000 United flights, 160 arrived more than 30 minutes late. We are testing to see if this provides evidence to conclude that the proportion of flights that are over 30 minutes late is different between flying United or Delta. Let group 1 be Delta flights and group 2 be United flights. Click here for the dataset associated with this question. Use the second edition. CL J. 2014)

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In this same passage on Flying Home Holidays on Time, answer the questions carefully to get the correct answers.

(c) What is the value of that statistic for the observed sample?
Round your answer to three decimal places.
observed statistic = i
eTextbook and Media
(d) Use StatKey or other technology to create a randomization distribution. Estimate the p-value for the observed statistic found
in part (c).
Round your answer to three decimal places.
p-value = i
eTextbook and Media
(e) At a significance level of a = 0.01, what is the formal conclusion of the test?
Do not reject Ho.
Reject Ho.
eTextbook and Media
(f) Now assume we had only collected samples of size 75, but got essentially the same proportions ( late flights for Delta and
12
late flights for United). Repeating steps (b) through (e) on these smaller samples, do you come to the same conclusion?
75
Transcribed Image Text:(c) What is the value of that statistic for the observed sample? Round your answer to three decimal places. observed statistic = i eTextbook and Media (d) Use StatKey or other technology to create a randomization distribution. Estimate the p-value for the observed statistic found in part (c). Round your answer to three decimal places. p-value = i eTextbook and Media (e) At a significance level of a = 0.01, what is the formal conclusion of the test? Do not reject Ho. Reject Ho. eTextbook and Media (f) Now assume we had only collected samples of size 75, but got essentially the same proportions ( late flights for Delta and 12 late flights for United). Repeating steps (b) through (e) on these smaller samples, do you come to the same conclusion? 75
Flying Home for the Holidays, On Time
The dataset DecemberFlights contains the difference between actual and scheduled arrival time from 1000 randomly sampled
December flights for two of the major North American airlines, Delta Air Lines and United Air Lines. A negative difference indicates a
flight arrived early. Suppose that we are only interested in the proportion of flights arriving more than 30 minutes after the scheduled
time. Of the 1000 Delta flights, 67 arrived more than 30 minutes late, and of the 1000 United flights, 160 arrived more than 30 minutes
late. We are testing to see if this provides evidence to conclude that the proportion of flights that are over 30 minutes late is different
between flying United or Delta.
Let group 1 be Delta flights and group 2 be United flights.
Click here for the dataset associated with this question. Use the second edition.
If using StatKey, the data needed is preloaded as Late Arrival-2e (Delta vs United, 2014).
Click here to access StatKey.
Transcribed Image Text:Flying Home for the Holidays, On Time The dataset DecemberFlights contains the difference between actual and scheduled arrival time from 1000 randomly sampled December flights for two of the major North American airlines, Delta Air Lines and United Air Lines. A negative difference indicates a flight arrived early. Suppose that we are only interested in the proportion of flights arriving more than 30 minutes after the scheduled time. Of the 1000 Delta flights, 67 arrived more than 30 minutes late, and of the 1000 United flights, 160 arrived more than 30 minutes late. We are testing to see if this provides evidence to conclude that the proportion of flights that are over 30 minutes late is different between flying United or Delta. Let group 1 be Delta flights and group 2 be United flights. Click here for the dataset associated with this question. Use the second edition. If using StatKey, the data needed is preloaded as Late Arrival-2e (Delta vs United, 2014). Click here to access StatKey.
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