Answer :
1.because sample is random and (130)
(0.923) and (130)(0.077) are both at least 10.
This means the normal model is a good fit for the sampling distribution.
Consider the provided information.
130 randomly selected flights and find that
120 of the flights arrived on time.
n=130
The on-time arrival performance was 91.9%
p=0.923 and q=1-0.923=0.077
np = 130 x 0.923
np = 120 ≥ 10
nq = 130 × 0.077
nq = 10 = 10
Hence, Yes, because sample is random and
(130)(0.923) and (130)(0.077) are both at least 10. This means the normal model is a good fit for the sampling distribution.
2.because sample is random and (130)
(0.919) and (130)(0.081) are both at least 10.
This means the normal model is a good fit for the sampling distribution.
Consider the provided information.
130 randomly selected flights and find that
120 of the flights arrived on time.
n=130
The on-time arrival performance was 91.9%
p=0.919 and q=1-0.919=0.081
np = 130 x 0.919
np = 119.5 ≥ 10
nq = 130 × 0.081
nq = 10.5 ≥ 10
Hence, Yes, because sample is random and
(130)(0.919) and (130)(0.081) are both at least 10. This means the normal model is a good fit for the sampling distribution.
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