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Manufacturing and Product Development
Nitterhouse Masonry Products, LLC, in Chambersburg, Pennsylvania, produces architectural concrete masonry products. The Dover is the largest block in a certain collection, is used primarily for residential retaining walls, and is manufactured to weigh 40 pounds. A quality control inspector for the company randomly selected eight blocks, and the weight (in pounds) of each is given in the following table.
43.4
39.8
42.3
42.6
41.0
39.6
38.8
Assume the underlying population is normal and σ = 2 pounds. Is there any evidence to suggest that the true mean weight of the blocks is different from 40 pounds? Use a = 0.05 and compute the p value to draw a conclusion.
Do these data satisfy the assumptions for inference? Explain.- Find the mean and standard deviation of the observed weights.
If a die is rolled one time, classical probability would indicate that the probability of a "two" should be . If the die is rolled 60 times and comes up "two" only 9 times, does this suggest that the die is "loaded"? Why or why not?
the estimate of the population proportion is to be within plus or minus 0.02 with a 90 level of confidence. the best
an article in the journal of composite materials vol 23 1989 p. 1200 describes the effect of delamination on the
If the standard deviation of the price of meals in San Francisco was $10, determine the largest proportion of meal prices that could be larger than $50.
a standardized test has a mean of 104 and a standard deviation of 16. we want to be 98 certain that we are withing 4
Determine whether or not the given procedure results in a binomial distribution. For those that are not binomial, identify at least one requirement that is not satisfied.
the age distribution of the canadian population is shown in the table. a random sample of 455 residents in the
Give a 95% confidence interval for the mean difference in hemoglobin level between the two populations of infants.- State the assumptions that your procedures in parts (a) and (b) require to be valid.
Standard deviation was increased to 40, determine the overall effect on their society? Would this change be a good thing?
An article in Baltimore Sun claimed that the typical supermarket trip takes a mean of 22 minutes. Suppose that in an effort to test this claim, you select a sample of 50 shoppers at a Baltimore City Giant.
If we assume that the lifetime of this type of bulb has a standard deviation of 400 hours, can we conclude at the 5% significance level that the claim is true.
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