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The speed limit on Interstate 75 around Findlay, Ohio, is 65 mph. On a clear day with no construction, the mean speed of automobiles was measured at 63 mph with a standard deviation of 8 mph. If the speeds are normally distributed, what percentage of the automobiles are exceeding the speed limit? If the Highway Patrol decides to ticket only motorists exceeding 72 mph, what percentage of the motorists might they arrest?
Below, explicitly state slope of your trend line and describe what value of slope signifies in terms of this context.
Construct a 98% prediction interval for the selling price of a 4l- year old house having 4500 square feet, 13 rooms, and an attached garage.
If someone had x=2 job changes, what does the least squares line predict for y, the annual salary?
During the past six months, 73.2% of US households purchased sugar. Assume that these expenditures are approximately normally distributed with a mean of $8.22 and a standard deviation of $1.10. 80% of the households spent more than what amount?
Find out the Expected value of the perfect information for the given problem. Given the subsiquent cost tree, illustrate what is the expected outcome.
Give an example of a hypothesis test. State what the Null and the Alternative hypotheses.
A university found that 20 percent of its students withdraw without completing the introductory statistics course. 20 students registered for a section of the course this term.
If statistically significant, do you believe the difference is large enough to be significant? If so, to whom, and explain why? Is normality assumption fulfilled? Describe.
To test productivity quickly, he has his shift foremen record number of defective T-shirts made in randomly sampled week. Critical Value: t =Test Statistic (Show procedure.): t =?
Calculate expected value for each decision and choose the best one. Find out how much firm would be eager to pay to a market research firm to gain better information about future market conditions.
According to Chebyshev's theorem, proportion of values from data set that is further than 2 standard deviations from the mean is at most?
If we wanted to shorten the interval of the estimation of the true mean of Saturday sales to a width of $600 in total, what should the size of our sample be to achieve it?
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