A local paper claims the proportion of college students who own a car is 38%. In a sample of 275 college students, what is the probability that more than 116 will own a car?
p=0.38q=0.62n=275p = 0.38 \\ q = 0.62 \\ n = 275p=0.38q=0.62n=275
Using binomial distribution:
Mean:
μ=n×p=275×0.38=104.5\mu = n \times p = 275 \times 0.38 = 104.5μ=n×p=275×0.38=104.5
Standard deviation:
σ=n×p×q=275×0.38×0.62=8.05P(X>116)=1−P(X<116)=1−P(Z<116−104.58.05)=1−P(Z<1.428)=1−0.9233=0.0767\sigma = \sqrt{n \times p \times q} = \sqrt{275 \times 0.38 \times 0.62} = 8.05 \\ P(X>116) = 1 -P(X<116) \\ = 1 -P(Z< \frac{116-104.5}{8.05}) \\ = 1 -P(Z<1.428) \\ = 1 -0.9233 \\ = 0.0767σ=n×p×q=275×0.38×0.62=8.05P(X>116)=1−P(X<116)=1−P(Z<8.05116−104.5)=1−P(Z<1.428)=1−0.9233=0.0767
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