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Compare two moving averages using MSE and compute Exponential smoothing.
The following data represents demand for company ABC's products for the last 10 months.
Months
Demand
1 2 3 4 5 6 7 8 9 10
450 463 520 500 510 516 534 525 530 534
(a) Use the mean square error to compare between the three-month and the two-month moving averages.
(b) Use α= .2 to compute exponential smoothing values for the time series.
Assume the population standard deviations are not the same. At the .05 significance level, is there a difference in the mean waiting time?
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.
Which of the following(s) can be considered (a) variable(s)?
Perform a hypothesis test by using.04 level of significance to find out if there is a difference between the population means.
What is your conclusion regarding null hypothesis?
Compute an F-statistic for each linear construct and determine its significance. Also, state what questions each of these contrasts address.
What sample size and acceptable level would result in a probability of .05 that a good batch will be rejected and a probability of .10 that a bad batch will be accepted?
The upper limit of a 95% confidence interval for the population mean would equal:
Concept of statistical signi cance
The Pearson Product-Moment Correlation Coefficient (r) is a measure of linear relationship between two variables.
Set-up/solve the problem graphically. (How many ceiling fans and how many floor fans should be made?)
The probability of the patient being chosen at random as having meningitis as only site of infection is?
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