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The manager of a large department with three floors reports that time a customer on the second floor must wait for an elevator has a uniform distribution ranging from 0 to 4 minutes.
(a.) find the mean and standard deviation of x, the time a customer on the second floor waits for an elevator.
Find the 90% confidence interval of the true mean weight of all college wrestlers. If a coach claimed that the average weight of the wrestlers on the team was 310, would the claim be believable?
At the .10 significance level you will test to determine if there has been an increase in selling time. What is your decision?
A researcher is testing the effect of a new cold and flu medication on reaction time. A sample of n = 9 students is obtained and each student is given the normal dose of the medicine.
A sample size n=100 is taken from a population that has a proportion p= 1/5. If, in the sample, ^p=0.25, will the 95% confidence interval for p contain the true value of p^is at top p at bottom ^p
An averaged department store sells 350 mens suits per year. The mens suit departments at a particular national chain of stores claim they sell more than the industry average.
A psychologist determined that the number of sessions required to obtain the trust of a new patient is 1, 2, and 3. Let x be the random variable indicating the number of sessions required to gain the patient's trust. The following probability fu..
Let T have the exponential distribution with parameter lambda, and let Y=Sqroot(T).
This week introduces the chi-square goodness-of-fit-test, which looks for differences across independent groups. Since this is similar to the independent t-test, which looks for differences between independent groups,
An accounting professor at a state university in Vermont recently gave a three-question multiple-choice quiz. What is the probability of getting a perfect score if you were forced to guess at each question?
Explain the value of test statistic using t distribution for the given value. Illustrate value of the t test statistic if you are testing a hypothesis.
Consider a problem where we two products: Product A (cloth bags) and product B (leather bags). Each unit of Product A that is sold produces $30 in profit and each unit of Product B that is sold produces $50 in profit.
Compute cumulative probabilities for these numbers in second column. Then create a histogram illustrating data distribution. Using generated Normal probability table, determine probability of Pr(X
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