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Find sample size, mean and standard deviation for the binomial distribution.
Forest Fires: Satellite Detection The National Forest Service uses satellites with infrared sensors to defect forest fires in remote wilderness areas. The satellites are very sensitive and do find all the hot spots. However, the satellites register geothermal hot spots, cloud cover, manmade bonfires, etc., as well as hot spots caused by forest fires. Over a period of years, the Forest Service has decided that only 85% of the hot spots reported by the satellite are forest fires. The usual procedure is to send out a reconnaissance plane to check on what the satellite has detected. Let us say that the satellite was successful if it reports a hot spot that is a forest fire.Recently, the satellite reported nine hot spots in the remote Seward Peninsula of Alaska.
a) Based on the satellite information, what is the expected number µ of real forest fires on the Seward Peninsula?b) What is the standard deviation σ?c) How many hot spots must the satellite report to be 99.9% sure of at least on real forest fire?
Determine the variance of X? (Illustrate your computation either in Table or in Equation form)
Data in table represent number of consumer complaints against major U.S. airlines. If one complaint from table is arbitrarily chosen, determine the probability that it was filed against United Airlines.
What percentage of bottles can we expect to have a volume less than 32 oz?
Does this result support original claim, or is population percentage considerably less than 45%. Use alpha=.05 for level of significance.
See if there is a difference in their means and variances.
Determine Probability values based on discrete distribution.You roll a fair die three times.
Is there evidence of violations of the usual ANOVA assumptions of equal variances and normal populations? Set up and perform appropriate TESTS at the α = 0.05 level of significance.
What percent of the Fords traveled 62.000 miles or less during the year?
At the 5% significance level, if the sample proportion is .45, and the standard error of the sample proportion is .035, the appropriate conclusion would be:
Write up your results by using scientifically recognized form.
Compute fraction of the employees cost between $1,500 and $2,000 per year? Evaluate percent that didn't have any dental expense.
The firm examined 35 randomly chosen fax transmissions during the next year, yielding a sample mean of 14.44 with a standard deviation of 4.45 pages.
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