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A certain exterminator specializes in Apexis rodents. Apexis rodents ALWAYS infest the basement of a house. They sometimes, but not always, infest the rooms of the house. When the exterminator looks for the Apexis nest in the basement he has a 10% chance, every minute, of finding it. There is a 40% chance that any given room of the house is infested. Let Y be the number of minutes spent searching the basement for the Apexis rodents. Let X be the number of rooms in a six room house infested by Apexis rodents. The exterminators statistician assures him that X and Y are independent
a. What is the distribution of X? State its mean and variance.
b. What is the distribution of Y? State its mean and variance.
c. The exterminator charges a hefty fifty dollars for every minute spent searching the basement. However he feels bad when the infestation goes beyond the basement and refunds 5 dollars for every room that is infested. Let C be the amount charged to an infested house. Find the expected value and variance of C.
d. Find E (XY)
Determine the distributions given below represent a probability distribution. Justify your answer.
At.01 significance level, is there relationship between job pressure and age?
Determine the average score for ERAU graduates? Determine the value of test statistic? Significance level?
A survey taken in a restaurant shows the following number of cups of coffee consumed with each meal. Construct an ungrouped frequency distribution.
What is the expected value and variance for the number of contacts in eight attempts?
Calculate a 95% confidence interval for the mean endowment of all the private colleges in the United States assuming a normal distribution for the endowments.
Determine the 90% confidence interval for average days worked by employees in all payroll departments?
the probability that a household is both prosperous and educated is P (A and B) = 0.082. What is the probability P (A or B) that the household selected is either prosperous or educated.
Give the Z score for person who scores (a) 340, (b) 310, and (c) 260. Give the raw scores for persons whose Z score on this test are (d) 2.4, (e) 1.5, (f) o, and (g) -4.5
If alternate hypothesis mention that m doesn't equal 4,000, determine the rejection region for the hypothesis test?
Carry out an ANOVA and describe in detail in a BPS-formatted Results section:
where p is the binomial probability of returning a completed survey, and log is the natural logarithm. The multiple logistic regression output from fitting this model is given below.
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