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Q1) Manager of two resort properties was interested in any significant difference in eagerness of guests to return to two properties. Sample of 227 guests at "The Beachcomber" resulted in 163 who said that they would select that property again. Sample of 262 guests at "The Windsurfer" resulted in 154 who said they would select that property again. Using 5% level of significance, is there any difference in proportion of guests who would select the two resorts? What is your conclusion?
A university found that 20 percent of its students withdraw without completing the introductory statistics. Assume that 20 students registered for the course.
You find that a random sample of five microwave ovens has a mean repair cost of $75 and a standard deviation of $12.50. At α = 0.01, do you have enough evidence to support the repairer's claim?
The weights (in pounds) of a sample of five boxes being sent by UPS are: 12, 6, 7, 3, and 10.
Create a 99% confidence interval estimate of population mean amount of paint included in a 1 gallon can.
A manufacturer of dodge balls uses a machine to inflate its new balls to a pressure of 13.5 pounds (σ =0.1). When the machine is properly calibrated, the mean inflation pressure s 13.50 pounds, but uncontrollable factors can cause the pressure of ..
Why can not we just do several two sample tests like we did in the last week. In your own words explain briefly also tell us what these are and what did it mean.
Would you use a one-tailed or two-tailed test? Explain your response.
A survey conducted by the American Automobile Association showed that the family of four spends an average of $215.60 per day while on vacation. Suppose a sample of 64 families of four vacationing at Niagara Falls results in a sample mean of $252...
State the values of the coefficient of correlation and coefficient of determination correct to three decimal places
would this prove that they are exceeding their goal, using α = .025?
The participants in a television quiz show are picked from a large pool of applicants with approximately equal numbers of men and women.
A physician wanted to estimate the mean length of time µ that a patient had to wait to see him after arriving at the office.
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