Suppose the Federal Aviation Administration (FAA) would like to compare the on- time performances of different airlines on domestic, nonstop flights. The following table shows three different airlines and the frequency of flights that arrived early on-time, and late for each. Identify the correct conclusion using the 0.1 level of significance. Delta US Airways Southwest Early 22 37 Cross Tabulation of Airline vs. Status On-time Pearson Chi-square= 13.922 DF = 4 P-value 0.0075 23 64 10 Late 27 20 10

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
Suppose the Federal Aviation Administration (FAA) would like to compare the on-
time performances of different airlines on domestic, nonstop flights. The following
table shows three different airlines and the frequency of flights that arrived early
on-time, and late for each. Identify the correct conclusion using the 0.1 level of
significance.
Delta
US Airways
Southwest
Early
22
37
Cross Tabulation of
Airline vs. Status
On-time
Pearson Chi-square = 13.922
DF = 4
P-value = 0.0075
23
64
10
Late
27
20
10
Transcribed Image Text:Suppose the Federal Aviation Administration (FAA) would like to compare the on- time performances of different airlines on domestic, nonstop flights. The following table shows three different airlines and the frequency of flights that arrived early on-time, and late for each. Identify the correct conclusion using the 0.1 level of significance. Delta US Airways Southwest Early 22 37 Cross Tabulation of Airline vs. Status On-time Pearson Chi-square = 13.922 DF = 4 P-value = 0.0075 23 64 10 Late 27 20 10
1)
We decide that Airline and Status are dependent on each other, based on a
p-value of 0.0075
2) There are two correct answers.
3)
We determine that Airline and Status are associated with one another, based
on a p-value of 0.9925
4)
We conclude that Airline and Status are independent of each other, based on
a p-value of 0.0075
5)
We conclude that Airline and Status are not related to one another, based on
a p-value of 0.9925
Transcribed Image Text:1) We decide that Airline and Status are dependent on each other, based on a p-value of 0.0075 2) There are two correct answers. 3) We determine that Airline and Status are associated with one another, based on a p-value of 0.9925 4) We conclude that Airline and Status are independent of each other, based on a p-value of 0.0075 5) We conclude that Airline and Status are not related to one another, based on a p-value of 0.9925
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 5 images

Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman