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A coal company wants to determine a 95% confidence interval estimate for the average daily tonnage of coal that they mine. Assuming that the company reports that the standard deviation of daily output is 200 tons, how many days should they sample so that the margin of error will be 39.2 tons or less?
Service A delivers the document with probability 0.9, Service B with probability 0.9 and Service C with probability 0.8. What is the probability that at least one copy of the document will be delivered on time?
Assume that waiting times are approximately normally distributed. Construct a 98% confidence interval for the population mean of waiting times.
Discuss the main assumption for using a chi-square test. Find a research article that uses chi-square and explain why it was the right test and how the assumption plays into it.
Compute the range, variance, standard deviation, and coefficient of variation. Compute the Z scores. Are there any outliers?
Probability using discrete distribution.The probability distribution for the random variable x follows.
A company must hire a new CFO and prepares a final list of five candidates - all are equally qualified. Two of the candidates are members of a minority of a minority group. To avoid bias in the selection of the candidate
Consider the following data on 20 chemical reactions, with Y = chromatographic retention time (seconds) and X = molecular weight (gm/mole).
In Dallas, some fire trucks were painted yellow (instead of red) to heighten their visibility. During a test period, the fleet of red fire trucks made 153,348 runs and had 20 accidents
If test results over long period of time illustrate that 5% of x values are over 2.1 pounds and 5% are under 1.9 pounds, determine mean and standard deviation for population of products produced with this process?
At the .01 level of significance, is the true mean greater than 10?
A dice is thrown thrice. What is the probability that the largest score that turns up is three times the smallest?
Here is a two-way table showing enrollment data for full-time undergraduate students in U.S. colleges and universities. The entries are thousands of students:
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