Assume that you are managing the manufacture of Mayzie's Automotive brake pads. After extensive study, you find that your manufacturing process produces brake pads with an average thickness of 0.76 inches and a standard deviation of 0.08 inches. What is the probability that the thickness of a brake pad falls between 0.80 inches and 0.85 inches? .18 .43 .07 .67
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- Mean (μ) = 0.76 inches - Standard deviation (σ) = 0.08 inches Show more…
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Assume that you are managing the manufacture of Mayzie's Automotive brake pads. After extensive study, you find that your manufacturing process produces brake pads with an average thickness of 0.76 inches and a standard deviation of 0.08 inches. What is the probability that the thickness of a brake pad is 0.79 inches or greater?
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A factory produces plate glass with a mean thickness of 4mm and a standard deviation of 1.1mm. A simple random sample of 100 sheets of glass is to be measured, and the mean thickness of the 100 sheets is to be computed. What is the probability that the average thickness of the 100 sheets is less than 3.91 mm?
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Stop the car! A car company has found that the lifetime of its disc brake pads varies from car to car according to a Normal distribution with mean $\mu=55,000$ miles and standard deviation $\sigma=4500$ miles. The company installs a new brand of brake pads on an SRS of 8 cars. (a) If the new brand has the same lifetime distribution as the previous type of brake pad, what is the sampling distribution of the mean lifetime $\overline{x} ?$ (b) The average life of the pads on these 8 cars turns out to be $\overline{x}=51,800$ miles. Find the probability that the sample mean lifetime is $51,800$ miles or less if the lifetime distribution is unchanged. What conclusion would you draw?
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