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Explain what it means if the correlation of 2 variables is positive, negative, or minimal (close to 0), and give an example (outside of the context of Closing the Digital Divide) of each.
State the hypothesis test (with the formula of test statistic) could be used to see if the show-up ratio of people booked tickets is larger than 0.7.
At that point, the mean becomes a random variable and the means of some of the different samples are 187, 192, 184, . . . 196. What can you say about the means of the sample with respect to the population mean?
Return to Example 16.3 and change the choice of α to α = 5. How does this affect the Susarla-van Ryzin estimator? Now change α = 10 and compute the Susarla-van Ryzin estimator. Compare with results with α = 3 and α = 5. What do you conclude?
Find a 99% confidence interval for the true mean heart rate of all people with this untreated condition. Show your calculations.
Customers arrive into a queue, where they are served, and then depart. We model the time between two successive arrivals by an exponential distribution with an arrival rate l=9.
A suburban hotel derives its gross income from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant.
q1 use the normal approximation to the binomial to find the probability of x 20 when n 30 and p 0.5.q2 of
Indicate your hypotheses, decision rule, statistical decision and management conclusion using the critical value and then find the p-value and state your decision rule, statistical decision and management conclusion using this method.
If two gloves are randomly selected from the box without replacement, what is the probability that both gloves selected will be right handed.
a confidence interval estimate for the population mean is given to be 36254476. if the standard deviation is 17.803
What factors have contributed to the success of intermodal rail service? What barriers exist to future expansion?
Given f(x) = 0.1 for 10 ≤x≤20. The mean of the distribution is 15 and the standard deviation is 2.89. Find the probability that x falls between 12 and 15.
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