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Critically illustrate out the limitations of seasonal forecasting? Provide examples.
Suppose event A and event B are mutually exclusive with the P(A)=12 and P(B)=1/3.Which of the following statements best describes these two events?
Describe a hypothesis upon which the manufacturer might wish to conduct a test concerning the relative effectiveness of the new fertilizer.
We assume that we have selected two independent random samples from populations having proportions p 1 and p 2 and that p-hat 1 = 800/1000 and p-hat 2 = 950/1000
Suppose we have run a regression on 48 months of data and the regression equation is Y = 50000 + 1000*x (where x is the month number).
Comment on their success or failure to meet this goal.
Below, explicitly state slope of your trend line and describe what value of slope signifies in terms of this context.
At the end of each academic year, 13% of assistant professors become associate professors and 18% leave the department; 21% of associate professors become full professors, and 17% leave the department; and 9% of full professors leave the departmen..
Determine mean of distribution shown. Give the mean of following probability distribution?
The point estimate for the difference between the proportions is:
A certain police officer stops cars for speeding. The number of red sports cars she stops in one hour is a Poisson process with rate 4, while the number of other cars she stops is a Poisson process with rate 1.
The advertising agency promoting the new Keem dishwashing soap wants to get the best exposure possible for the product within the $100,000 advertising budget ceiling placed upon it.
Indicate which would be the independent variable and which would be the dependent variable in each of the following:
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