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The data below are sales, y, in thousands of dollars per week, for home improvement outlets in each of four cities. The objective is to model sales, y, as a function of traffic flow, adjusting for city-to-city variations that might be due to size or other market conditions. The model is
Construct a 99% confidence interval for the difference in the proportions of college freshmen and sophomores who purchased used textbooks.
If historical time series data is very limited, what type of forecasting approach would be useful.
the teacher ratio is 125. currently the school district has 3150 students. if the student enrollment increases by 20
Ethics The one-time fling! Have you ever purchased an article of clothing (dress, sports jacket, etc.), worn the item once to a party, and then returned the purchase?
Can the researcher conclude that humidity has a significant effect on eating behavior? Use a two-tailed test with α=.05. Compute the estimated d and r2 to measure the size of the treatment effect.
A teacher wants to know if students in her biology class did significantly better on an exam after instruction using authentic learning. The scores pre and post test are listed below. Based on an α = .05, what can the teacher conclude?
Compute the value of the test statistic (to 2 decimals).
let xsub1 and xsub2 be two continous random variables having the joint probability densityfxsub1xsub2 4xsub1xsub2 for
the gotham city police have just received three calls for police. five cars are available. the distance in city blocks
Produce trucks arrive at the weigh station at the California border at a rate of 3 per hour according to a Poisson distribution. Livestock trucks arrive at that same weigh station at a rate of 2 per hour according to a Poisson distribution.
(a) Interpret the slope of the fitted regression Sales = 842 - 37.5 Price. (b) If Price = 20, what is the prediction for Sales? (c) Would the intercept be meaningful if this regression represents DVD sales at Blockbuster?
in a poll respondents were asked whether they had ever been in a car accident. 177 respondents indicated that they had
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