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A rainstorm in Portland, Oregon, has wiped out the electricity in about of the households in the city. A management team in Portland has a big meeting tomorrow, and all members of the team are hard at work in their separate households, preparing their presentations. What is the probability that none of them has lost electricity in his/her household? Assume that their locations are spread out so that loss of electricity is independent among their households.
What is our decision regarding the differences between the observed and expected frequencies if the critical value of chi-square is 9.488 and the computed value is 6.079?
A large electronics company wants to estimate the proportion of all households that own GPS machines. What sample size is required that would give the maximum error of 2.0% for a 95% confidence interval? An unscientific survey had a result of 30%.
Represent (X,Y) as a function of (U,V). Find the joint density f(u,v) for (U,V) (Hint: take into account the region where it is non-zero). Calculate f(1,0) and input it as the answer.
a. Define variables that would tell how many units to purchase from each source. b. Develop an objective function that would minimize the total cost.
If your ANOVA shows no interaction between two factors: A) You must re-run the ANOVA in minitab without replicates. B) Start over taking more samples, the current results aren't valid without showing an interaction.
Another location if it meant a substantial promotion. Based on these findings, write a brief note to management regarding all executives in the firm.
The following data was randomly drawn from a normal population. At an alpha level of .05, does the mean of the population differ significantly from -150. Use Excel.
Compare a three-month moving average forecast with an exponential smoothing fore-cast for a = 0.2. Which provides the better forecasts using MSE as the measure of model accuracy?
Suppose that it is important to demonstrate that the wall thickness exceeds 4.0 mm. Test appropriate hypotheses using these data. Draw conclusions at α= 0.05.
A baseball player gets a hit in 30 out of 100 times at bat. What is the probability that he gets a hit in his next at bat?
The standard deviation was $21,330. At the .01 significance level, can we conclude that there is more variation in the selling prices of the oceanfront homes?
Using the 0.10 level of significance, is there evidence that the mean shopping time at the local supermarket is greater than the claimed value of 22 minutes?
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