According to the Bureau of Transportation Statistics, on-time performance by airlines is described as follows: Action % of time On Time 71 National Aviation System Delay 9. Aircraft arriving late 10 Other (weather and other conditions) 10 When a study was conducted it was found that of the 211 randomly selected flights, 150 were on time, 19 were a National Aviation System Delay, 21 arriving late , 21 were due to weather. Perform a test to see if there is sufficient evidence at a = 0.10 to see if these differ from the governments statistics. The correct hypotheses are: O Ho: The sample is a good fit to the Bureau of Transportation Statistics. HA: The sample is not a good fit to the Bureau of Transportation Statistics. (claim) O Ho: The sample is not a good fit to the Bureau of Transportation Statistics. HA: The sample is a good fit to the Bureau of Transportation Statistics.(claim) O Ho: The sample and the Bureau of Transportation Statistics are independent. HA: The sample and the Bureau of Transportation Statistics are dependent. (claim)
According to the Bureau of Transportation Statistics, on-time performance by airlines is described as follows: Action % of time On Time 71 National Aviation System Delay 9. Aircraft arriving late 10 Other (weather and other conditions) 10 When a study was conducted it was found that of the 211 randomly selected flights, 150 were on time, 19 were a National Aviation System Delay, 21 arriving late , 21 were due to weather. Perform a test to see if there is sufficient evidence at a = 0.10 to see if these differ from the governments statistics. The correct hypotheses are: O Ho: The sample is a good fit to the Bureau of Transportation Statistics. HA: The sample is not a good fit to the Bureau of Transportation Statistics. (claim) O Ho: The sample is not a good fit to the Bureau of Transportation Statistics. HA: The sample is a good fit to the Bureau of Transportation Statistics.(claim) O Ho: The sample and the Bureau of Transportation Statistics are independent. HA: The sample and the Bureau of Transportation Statistics are dependent. (claim)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:According to the Bureau of Transportation Statistics, on-time performance by airlines is described as
follows:
Action
% of time
On Time
National Aviation System Delay
Aircraft arriving late
71
9.
10
Other (weather and other conditions)
10
When a study was conducted it was found that of the 211 randomly selected flights, 150 were on time, 19
were a National Aviation System Delay, 21 arriving late , 21 were due to weather. Perform a test to see if
there is sufficient evidence at a = 0.10 to see if these differ from the governments statistics.
The correct hypotheses are:
O Ho: The sample is a good fit to the Bureau of Transportation Statistics.
HA: The sample is not a good fit to the Bureau of Transportation Statistics. (claim)
O Ho: The sample is not a good fit to the Bureau of Transportation Statistics.
HA: The sample is a good fit to the Bureau of Transportation Statistics. (claim)
O Ho: The sample and the Bureau of Transportation Statistics are independent.
HA: The sample and the Bureau of Transportation Statistics are dependent. (claim)
Transcribed Image Text:O Ho: The sample and the Bureau of Transportation Statistics are dependent.
HA: The sample and the Bureau of Transportation Statistics are independent.(claim)
The test value is
(round to 3 decimal places)
The p-value is
(round to 3 decimal places)
The correct decision is to
O reject Ho
O do not reject Ho
The final conclusion is
O There is enough evidence to reject the claim.
O There is not enough evidence to reject the claim.
O There is enough evidence to support the claim.
O There is not enough evidence to support the claim.
Expert Solution
Step 1
The chi-square goodness of fit test can be used to determine whether a sample distribution follows the specified distribution or not. In this test, there will be two types of counts, one is expected counts (denoted by E) and other is observed or actual counts (denoted by O).
The test will determine whether the actual counts are significantly different from the expected count or not. If the test shows that there are evidence of significant difference in between them, then it can be concluded that the sample distribution is different from specified distribution.
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