A quality control engineer is interested in estimating the proportion of defective items coming off a production line. In a sample of 300 items, 27 are defective. A 90 confidence interval for the proportion of defectives from this production line would go from ________ to ________.
Fill in the blank(s) with correct word
Q. 2The interval between patients arriving at an outpatient clinic follows an exponential distribution at a rate of 1 patient per hour. What is the probability that a randomly chosen arrival interval will be more than 2.5 hours?
What will be an ideal response?
Q. 3The county clerk wants to estimate the proportion of voters who will need special election facilities. Suppose a sample of 400 voters was taken. If 150 need special election facilities, calculate a 90 confidence interval for the population proportion.
What will be an ideal response?
Q. 4The interval between patients arriving at an outpatient clinic follows an exponential distribution at a rate of 1 patient per hour. What is the probability of that randomly chosen arrival interval will be more than 1 hour?
What will be an ideal response?
Q. 5The county clerk wants to estimate the proportion of voters who will need special election facilities. The clerk wants to construct a 95 confidence interval for the population proportion which extends at most 0.07 to either side of the sample proportion. How large a sample must be taken to assure these conditions are met?
What will be an ideal response?
Q. 6The interval between patients arriving at an outpatient clinic follows an exponential distribution at a rate of 15 patients per hour. What is the probability that a randomly chosen arrival interval will be between 5 minutes and 15 minutes?
What will be an ideal response?
Q. 7A university dean is interested in determining the proportion of students who receive some sort of financial aid. Rather than examine the records for all students, the dean randomly selects 200 students and finds that 118 of them are receiving financial aid. The 95 confidence interval for is 0.59 0.07. Interpret this interval.
A) We are 95 confident that between 52 and 66 of the sampled students receive some sort of financial aid.
B) We are 95 confident that the true proportion of all students receiving financial aid is between 0.52 and 0.66.
C) We are 95 confident that 59 of the students are on some sort of financial aid.
D) 95 of the students get between 52 and 66 of their tuition paid for by financial aid.
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