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It is estimated that .42 percent of the callers to the Customer Service department of Dell Inc. will receive a busy signal.
What is the probability that of today's 1,000 callers at least 5 received a busy signal? Use the poisson approximation to the binomial. (Round your answer to 4 decimal places.)
What are the main differences between descriptive and inferential statistics? Give examples of each. When would random sampling not be the best approach to sample selection? Give an example.
Is there significant evidence that this production run doesn't meet specifications? Use a 1% level of significance.
Identify the independent and dependent variables, and Construct a nominal, ordinal, and interval level measure for each independent and dependent variable.
You wish to do a community needs assessment survey of a community to find out how much office space is needed by professionals in the community.
If a complete failure occurs, calculate the probability that the fault occurred in:
At 95% confidence using the p- value approach, test the hypotheses. Let α = 0.1.
Repetitions of numbers are not permitted, i.e., the same number cannot be used more than once in a total sequence. As examples, 27, 94 or 55 would not be permitted. How many different code groups can be designed?
The F-test cannot be used to answer whether or not there is a significant difference between the means.
(a) At the 5 percent level of significance, does this sample prove a violation of the guideline that the average patient should pay no more than $250 out-of-pocket? State your hypotheses and decision rule. (b) Is this a close decision?
Find out which (t-, z- or neither) distribution is suitable Then if you can utilize either a t- or z- distribution, provide associated critical value (critical t- or z- score) from that distribution to reach given confidence level.
Use the binomial distribution formula to calculate the probability that a) out of 5 adults, none is concerned that employers are monitoring phone calls.
The Quick Change Oil Company has a number of outlets in the Seattle area. The daily number of oil changes at outlet in past twenty days are:
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