In: Statistics and Probability
A study was conducted on the percentages of on-time arrivals for major U.S. airlines. Two regional airlines were surveyed. For Airline A, 213 out of 300 flights were on-time. For Airline B, 185 out of 250 were on-time. Construct a 90% confidence interval for the difference between the proportions of flights that are on-time for Airline A and Airline B.
options:
-0.128 < p1 - p2 < 0.068
-0.119 < p1 - p2 < 0.059
-0.093 < p1 - p2 < 0.033
-0.079 < p1 - p2 < 0.019
-0.105 < p1 - p2 < 0.045
Confidence interval for the difference between the proportions
for 90% confidence level =(100-90)/100=0.10
/2 = 0.10/2=0.05
Z/2=Z0.05=1.6449
For Airline A Sample
Number of flights :n1=300
Number of flights on time :x1=213
Sample proportion of flights on time for Airline A Sample : = 213/300 = 0.71
For Airline B sample
Number of flights :n2=185
Number of flights on time :x2=250
Sample proportion of flights on time for Airline B Sample : = 185/250=0.74
90% confidence interval for the difference between the proportions of flights that are on-time for Airline A and Airline B
90% confidence interval for the difference between the proportions of flights that are on-time for Airline A and Airline B
-0.093 <p1-p2<0.033
Answer :
-0.093 < p1 - p2 < 0.033