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A regional telephone company operates three identical relay stations at different locations. During a one year period, the number of malfunctions reported by each station and the causes are shown below. Station A B C Problems with electricity supplied Computer malfunction Malfunctioning electrical equipment Caused by other human errors Suppose that a malfunction was reported and it was found to be caused by other human errors. What is the probability that it came from station C?
In the week before and the week after a holiday, there were 10,000 total deaths, and 4972 of them occurred in the week before the holiday.
Determine the p-value; and at 93.7% confidence, test the above hypotheses.
Suppose that the mortgage payments of all homeowners have a normal distribution. What is the mean monthly mortgage paid by all homeowner?
A random sample of 85 group leaders, supervisors, and similar personnel at General Motors revealed that, on the average, they spent 6.5 years on the job before being promoted.
Which of the following best explains how the F ratio examines differences among groups? A. The critical F is compared to the critical t.
What is the slope? What is the y-intercept? Is the line dashed or solid? Is the area shaded below or above the line?
A sample of 20 cables is selected and tested. Find the sample mean that will cut off the upper 95% of all samples of size 20 taken from the population.
All subjects in the study were questioned about lifestyle factors including alcohol, tea, and coffee consumption. The resulting data are as follows.
A travel agent suggests that since the law of averages makes it highly unlikely to have two plane crashes within a few weeks of each other, flying soon after a crash is the safest time. What do you think?
What role does a financial department play in valuing business opportunities and what are some of the key financial concepts that valuation work must consider?
Develop a forecast of enrollment next semester using exponential smoothing with a a= 0.2. Assume that an initial forecast for the first semester was 120 (so the forecast and the actual were the same.)
Determine standard deviation be if sample contained 100 students rather than 50? How large the sample is required to decrease standard deviation of percentage who say "Yes" from 7% to 3.5%?
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