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In a hospital shipment of 3500 insulin syringes, 14 were unusable due to defecta. Is this sufficinet ecidence to reject future shipments from this supplier if the hospital's quality standard requires 99.7 % of syringes to be accepted? a) May nromality of the sample proportion p be assumed? b) Conduct a hypothesis test at 1 percent level of significance. Clearly state the hypotheses, decision rule and conclude accordingly. SHow all the steps.
suppose a highlighter manufacturer wanted to find out whether a highlighter lasted longer than the claim of 14
Assume salaries are normally distributed with a standard deviation of $4,500. What is the probability of a new graduate receiving a salary between $45,000.
A random sample of 346 individuals is selected, and the individuals are classified according to their smoking habits and the smoking habits of their parents. The results are given in the contingency table below.
Assume that the distribution is normal. Based on the Empirical Rule, how many students scored between 69 and 89?
Find the probability that student is happy with the choice of major, a psychology major and a communications major given that the student is happy with the choice of major.
Assume the arrival of these emails is approximated by the Poisson distribution.
Assuming that the heights of college women are normally distributed with mean 62 inches and standard deviation 3.5 inches, what percentage of women are between 58.5 inches and 72.5 inches?
Which of the following statements is true regarding the leverage of supply chain savings? Supply chain leverage is about the same for all industries.
suppose that x and y have a joint probability density function pdffx y kx 2y for 0 lt x lt 1 and 0 lt y lt 10
as part of a large ongoing study on the treatment of women with breast cancer the treatment time in months of eight
A manufacturer of flashlight batteries took a sample of 13 batteries from a day's production and used them continuously until they were drained. In what ways would this information be useful to the manufacturer?
From a lot of 10 missiles, 4 are selected at random and fired. If the lot contains 3 defective missiles that will not fire, what is the probability that 3 will fire?
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