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The airline industry defines no-shows as passengers who have purchased a ticket but fail to arrive at the gate on time for departure. United Airlines operates many flights from Philadelphia to Dallas and experienced the following no-show probability distribution last year. No-shows 0 Probability5% 1 12 13 15% 20% 30% 20% 10% 14 15 The following data represent the number of no-shows that occurred on a random sample of 120 flights between these two cities this year. No-shows 0 |1 12 14 3 32 26 15 |14 20 Frequency 10 |18

The airline industry defines no-shows as passengers who have purchased a ticket but fail to arrive at the gate on time for departure. United Airlines operates many flights from Philadelphia to Dallas and experienced the following no-show probability distribution last year. No-shows 0 Probability5% 1 12 13 15% 20% 30% 20% 10% 14 15 The following data represent the number of no-shows that occurred on a random sample of 120 flights between these two cities this year. No-shows 0 |1 12 14 3 32 26 15 |14 20 Frequency 10 |18

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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No-shows 0 Frequency 10 12 3 14 15 14 18 26 32 20 United Airlines would like to know if the probability distribution of no-shows has changed between last year and this year on flights between these two cities using a = 0.05. The conclusion for this hypothesis test would be that because the test statistic is more than the critical value, we can reject the null hypothesis and conclude 1) that the probability distribution for no-shows has changed from last year to this year for flights between these two cities. less than the critical value, we can reject the null hypothesis and conclude O 2) that the probability distribution for no-shows has changed from last year to this year for flights between these two cities. more than the critical value, we cannot reject the null hypothesis and 3) conclude that the probability distribution for no-shows has changed from last year to this year for flights between these two cities. less than the critical value, we cannot reject the null hypothesis and cannot 4) conclude that the probability distribution for no-shows has changed from last year to this year for flights between these two cities.
Transcribed Image Text:No-shows 0 Frequency 10 12 3 14 15 14 18 26 32 20 United Airlines would like to know if the probability distribution of no-shows has changed between last year and this year on flights between these two cities using a = 0.05. The conclusion for this hypothesis test would be that because the test statistic is more than the critical value, we can reject the null hypothesis and conclude 1) that the probability distribution for no-shows has changed from last year to this year for flights between these two cities. less than the critical value, we can reject the null hypothesis and conclude O 2) that the probability distribution for no-shows has changed from last year to this year for flights between these two cities. more than the critical value, we cannot reject the null hypothesis and 3) conclude that the probability distribution for no-shows has changed from last year to this year for flights between these two cities. less than the critical value, we cannot reject the null hypothesis and cannot 4) conclude that the probability distribution for no-shows has changed from last year to this year for flights between these two cities.
The airline industry defines no-shows as passengers who have purchased a ticket but fail to arrive at the gate on time for departure. United Airlines operates many flights from Philadelphia to Dallas and experienced the following no-show probability distribution last year. No-shows 0 Probability5% 1 13 12 15% 20% 30% 20% 10% 14 15 The following data represent the number of no-shows that occurred on a random sample of 120 flights between these two cities this year. No-shows 0 Frequency 10 12 18 13 14 26 32 20 15 14 United Airlines would like to know if the probability distribution of no-shows has changed between last year and this year on flights between these two cities using a = 0.05. The conclusion for this hypothesis test would be that because the test %3D statistic is
Transcribed Image Text:The airline industry defines no-shows as passengers who have purchased a ticket but fail to arrive at the gate on time for departure. United Airlines operates many flights from Philadelphia to Dallas and experienced the following no-show probability distribution last year. No-shows 0 Probability5% 1 13 12 15% 20% 30% 20% 10% 14 15 The following data represent the number of no-shows that occurred on a random sample of 120 flights between these two cities this year. No-shows 0 Frequency 10 12 18 13 14 26 32 20 15 14 United Airlines would like to know if the probability distribution of no-shows has changed between last year and this year on flights between these two cities using a = 0.05. The conclusion for this hypothesis test would be that because the test %3D statistic is
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