In 2005, 0.76% of all airline flights were on-time. if we choose a simple random sample of 2000 flights, find the probability (to four decimal places, using normal chart, no continuity correction)

(a) at least 79% of the sample's flights were on time

(b) at most 1580 of the sample's flights were on time

(c) the sample proportion of on-time flights (p-hat) differs from the truth by more than three percent

Step-by-step explanation:

Here X no of flight that reach on time has two outcomes only and each trial is independent of the other.

Since sample size is large we approximate to normal with mean =np and variance =npq

i.e. X is N(152,19.10)

is used for converting to std normal variate

Continuity correction of 0.5 on either side of interval would be applied for x

a)

=0.00

b)=1.00

c) p is N(0.76, sqrtpq/n)=N(0.76,0.0095)

P(p diff>0.03) =

=0.00

i dont know

step-by-step explanation:

umm. i dont know

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