1) A company produces steel rods. The lengths of the steel rods
are normally distributed with a mean of 120.4-cm and a standard
deviation of 1.4-cm.
Find the probability that the length of a randomly selected steel
rod is less than 120.1-cm.
P(X < 120.1-cm) =
2) A company produces steel rods. The lengths of the steel rods
are normally distributed with a mean of 236.7-cm and a standard
deviation of 2.4-cm. For shipment, 10 steel rods are bundled
together.
Find P18, which is the average length
separating the smallest 18% bundles from the largest 82%
bundles.
P18 =
3) A population of values has a normal distribution with
μ=132.5μ=132.5 and σ=20.6σ=20.6. You intend to draw a random sample
of size n=119n=119.
Find P38, which is the mean separating the
bottom 38% means from the top 62% means.
P38 (for sample means) =
4) A population of values has a normal distribution with
μ=109.1μ=109.1 and σ=34.1σ=34.1. You intend to draw a random sample
of size n=208n=208.
Find P7, which is the score separating the
bottom 7% scores from the top 93% scores.
P7 (for single values) =
Find P7, which is the mean separating the
bottom 7% means from the top 93% means.
P7 (for sample means) =
5) CNNBC recently reported that the mean annual cost of auto
insurance is 961 dollars. Assume the standard deviation is 294
dollars. You take a simple random sample of 67 auto insurance
policies.
Find the probability that a single randomly selected value is at
least 975 dollars.
P(X > 975) =
Find the probability that a sample of size n=67n=67 is randomly
selected with a mean that is at least 975 dollars.
P(M > 975) =
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