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Gas station sells 1400 gallons of gasoline per hour if it charges $ 2.05 per gallon but only 1100 gallons per hour if it charges $ 2.95 per gallon. Suppose the linear model
(a) Find out gallons would be sold per hour of price is $ 2.70 per gallon?
(b) What should gasoline price be to sell 1000 gallons per hour?
(c) Calculate revenue taken at four prices mentioned in this problem -- $ 2.05 , $ 2.70 , $ 2.95 and answer to part
(d) Which price gives the most revenue?
Of the 1,4000 homemakers sampled, 420 were able to identify the brand by name. Compute the standard error of the proportion.
The probability of obtaining a random sample mean, which is lower than the population mean, is:
Indicate at which point flat-of-curve medicine is experienced in the following example (imagine that antibiotics have been prescribed for a given population of 1,000 elderly persons).
Strack, Martin, and Stepper (1988) found that people rated cartoons as funnier when holding a pen in their teeth (which forced them to smile) than when holding a pen in their lips (which forced them to frown). For this study, identify the independ..
Use the F test of ANOVA (assume α = 0.05) to decide whether or not there are any differences in true average lumen outputs between the three brands for this type of light bulb.
How much variability will you have if you predict sales with this model?
A bank official reported the results of a regression analysis designed to predict the bank's charges (y), measured in dollars per month, for services rendered to local companies.
Don't quite understand the concept of computing confidence intervals. How would confidence intervals determine sampling design and data collection for information gathered.
Describe a Bernoulli experiment and give two examples. What is the connection between a Bernoulli experiment and a binomial distribution? Explain.
An insurance company sells $300 deductible annual automobile insurance policies to a certain category (age, driving records) for $1000.00 The insurance company has set four different accident types
Determine the strength of the causal relationship between monthly sales and new home construction by using correlation.
Your company is considering submitting a bid on a major project. You determine that the expected completion time is 100 weeks and the standard deviation is 10 weeks.
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