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Consider the following measures based on independently drawn samples from normally distributed populations:
Sample 1: s12=220, and n1=20
Sample 2: s22=196, and n2=15
Construct a 95% interval estimate of the ratio of the population variances.
A. 0.29 to 3.74
B. 0.19 to 5.97
C. 0.56 to 1.45
D. 0.39 to 2.97
The probability that home sales will increase in the next 6 months is 0.25. The probability that the interest rates on loans will go up in the same period is estimated to be 0.74.
for a certain class of jet engines the time until an overhaul is needed y measured in years varies according to the
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Fit both linear and an exponential trend to the data. (d) Which model is preferred? Why? (e) Make a forecast for 2003, using a trend model of your choice (or judgments forecast).
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Estimate the factor eeffects. Construct a normal probability plot of these eects. Which eeffects appear large?
Below are the sample times in minutes. At the .05 significance level, can we conclude that there is a difference in their mean times?
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