Use the following to answer questions 78 An SRS of 100 fligh
Use the following to answer questions 7-8:
An SRS of 100 flights of a large airline (call this airline 1) showed that 64 were on time. An SRS of 100 flights of another large airline (call this airline 2) showed that 80 were on time. Let p1 and p2 be the proportion of all flights that are on time for these two airlines.
Question 7
A 90% confidence interval for the difference p1 – p2 is:
Question 7 options:
A)
0.16 ± 0.062.
B)
–0.16 ± 0.103.
C)
–0.16 ± 0.062.
D)
–0.16 ± 0.122.
Question 8
Is there evidence of a difference in the on-time rate for the two airlines? To determine this, you test the hypotheses
H0: p1 = p2, Ha: p1 p2.
The P-value of your test of the hypotheses given is:
Question 8 options:
A)
between .10 and .05.
B)
below .001.
C)
between .01 and .001.
D)
between .05 and .01.
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Solution
I)
 Confidence Interval for Diffrence of Proportion
 CI = (p1 - p2) ± Z a/2 Sqrt(p1(1-p1)/n1 + p2(1-p2)/n2 )
 Proportion 1
 Probability Succuses( X1 )=64
 No.Of Observed (n1)=100
 P1= X1/n1=0.64
 Proportion 2
 Probability Succuses(X2)=80
 No.Of Observed (n2)=100
 P2= X2/n2=0.8
 C.I = (0.64-0.8) ±Z a/2 * Sqrt( (0.64*0.36/100) + (0.8*0.2/100) )
 =(0.64-0.8) ± 1.64* Sqrt(0.004)
 =-0.16-0.103,-0.16+0.103
 =[-0.262,-0.058]
Ans: B) –0.16 ± 0.103
II)
 Null, No difference in the on-time rate for the two airlines Ho: p1 = p2
 Alternate: difference in the on-time rate for the two airlines H1: p1 != p2
 Test Statistic
 Sample 1 : X1 =64, n1 =100, P1= X1/n1=0.64
 Sample 2 : X2 =80, n2 =100, P2= X2/n2=0.8
 Finding a P^ value For Proportion P^=(X1 + X2 ) / (n1+n2)
 P^=0.72
 Q^ Value For Proportion= 1-P^=0.28
 we use Test Statistic (Z) = (P1-P2)/(P^Q^(1/n1+1/n2))
 Zo =(0.64-0.8)/Sqrt((0.72*0.28(1/100+1/100))
 Zo =-2.52
 | Zo | =2.52
 AT 0.05 LOS: Critical Value
 The Value of |Z | at LOS 0.05% is 1.96
 We got |Zo| =2.52 & | Z  | =1.96
 Make Decision
 Hence Value of | Zo | > | Z | and Here we Reject Ho
AT 0.1 LOS: Critical Value
 The Value of |Z | at LOS 0.1% is 1.645
 Hence Value of | Zo | > | Z | and Here we Reject Ho
difference in the on-time rate for the two airlines
 A)
 between .10 and .05. We have evidence for difference in the on-time rate for the two airlines


