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In 1992, the FAA conducted 86,991 pre-employment drug tests on job applicants who were to be engaged in safety and security-related jobs, and found that 1,143 were positive.
(a) Construct a 95 percent confidence interval for the population proportion of positive drug tests.
(b) Why is the normality assumption not a problem, despite the very small value of p?
Make a depreciation schedule. A $1,200 postage printing system depreciated using the straight-line method over 4 years.
Within each of your current careers/ jobs, there are sets of data that can be analyzed. For example, a teacher can use a set of test scores, a dietician can analyze a set of patient weights and correlate them to incidences of diabetes, and a sales..
The maximum allowable payback and discounted payback statistic for the project are 2 and 2.5 years, respectively. Use the NPV decision rule to evaluate this project; should it be accepted or rejected?
The level of significance is quantitatively defined as ? and the statistical power of a test is quantitatively defined as 1-?
Find the probability of a Type II error if in fact the mean waiting time is actually 9.8 minutes.
On randomly selected day, let X and Y, respectively, be proportions of time that the drive-in and walk-in facilities are in use. Determine the marginal density of X.
Four homes are selected at random: What is the probability all four of the selected homes have a security system? (Round your answer to 4 decimal places.
Assume that results of survey were used to create seperate 99% confidence intervals for boys and girls. would the margins of error be same as, larger , or smaller than that for question one?
How large a sample must he select if he wants to be 99% confident that the true average time is within 15 minutes of the sample average? Assume the standard deviation of all times is 30 minutes.
From this data set, compute the sample mean, median, mode and midrange. Compute the 1st quartile and 3rd and interpret their meanings.
The rate of defects among CD players of a certain brand is 1.1%. Use the Poisson approximation to the binomial distribution to find the probability that among 240 such CD players received by a store, there is at most one defective CD player.
The resort's historical climate data suggests that the probability of a good winter with lots of snow during any given year is 40%.
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