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Consider the following time series data. Week 1 2 3 4 5 Value 25 12 14 23 20
a. Construct a time series plot. What type of pattern exists in the data?
b. Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7.
c. Use α=0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7
d. According to the MSE, which method is giving you the better forecasting?
(a) What is the probability the load weighs more than 1231 tons? (b) What is the 90th percentile of load weights?
A stock is worth 50 today. Interest rates are zero. It is worth 40 or 70 tomorrow. What risk-neutral probabilities should be used to price an option?
a. Construct an ordered stem and leaf display to sort the data. b. After examining the stem and leaf display prepared in a., comment on the possible distribution of the number of cases purchased by the supermarket chain.
a) What is the mean of X? b) What was the standard deviation of X? c) What is the mean of P?
The phrasing on one of the questions is "the number of minutes a student takes to run a mile," should I interpret that as variable
A researcher obtains an F value that is significant at the .01 level. What is the next step that should be taken in analyzing the data
1. Use the sample information ×=40, s = 4, n = 20 to calculate the following confidence intervals for µ assuming the sample is from a normal population.
The standard deviation is $10,000, can the president conclude that there is difference? At a =0.10, is he correct? The hypotheses and the claim.
The sample mean is found to be 64.3, and the sample standard deviation, s, is found to be 5.6. Construct a 95% confidence interval for µ.
a roll of plastic-coated wire has an average of 0.09 flaws per 5-meter length of wire. suppose a quality control
How do I tell which standard deviation formula to use when computing from a handful of given means?
A sample of size 36 results in a sample mean of 7.1. The value of the test statistic is ____
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