To avoid difficulties with the Federal Trade Commission or state and local consumer protection agencies , a beverage bottler must make reasonably certain that 12 - ounce bottles actually contain 12 ounces of beverage . To determine whether a bottling ma chine is working satisfactorily , one bottler randomly samples 12 bottles per hour and measures the amount of beverage in each bottle . The
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- In order to determine if there was a relationship between living near power lines and a rare disease, what type of study design could be used? Edit View Insert Format Tools Tablearrow_forwardThe following data represent the miles per gallon for a particular make and model car for six randomly selected vehicles. Compute the mean, median, and mode miles per gallon. 30.8, 27.7, 26.3, 31.7, 39.5, 23.4 Compute the mean miles per gallon. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. The mean mileage per gallon is nothing. (Round to two decimal places as needed.) B. The mean does not exist.arrow_forwardA statistical program is recommended. Is the number of square feet of living space a good predictor of a house's selling price? The following data show the square footage and selling price for fifteen houses in Winston-Salem, North Carolina.† Size(1,000s sq. ft) Selling Price($1,000s) 1.26 117.5 3.02 299.9 1.99 139.0 0.91 45.6 1.87 129.9 2.63 274.9 2.60 259.9 2.27 177.0 2.30 175.0 2.08 189.9 1.12 95.0 1.38 82.1 1.80 169.0 1.57 96.5 1.45 114.9 #1) Find the value of the test statistic (round to two decimal places). Find the p-Value (round to three decimal places) #2) Use the estimated regression equation to predict the selling price (in $1,000s) of a 2,100 square foot house in Winston-Salem, North Carolina. (Round your answer to one decimal place.) = $______ Thousand #3)Do you believe the estimated regression equation developed in part (b) will provide a good prediction of selling price of a particular house in Winston-Salem, North Carolina? Explain.…arrow_forward
- A local college cafeteria has a self-service soft ice cream machine. The cafeteria provides bowls that can hold up to 16 ounces of ice cream. The food service manager is interested in comparing the average amount of ice cream dispensed by male students to the average amount dispensed by female students. A measurement device was placed on the ice cream machine to determine the amounts dispensed. Random samples of 85 male and 78 female students who got ice cream were selected. The sample averages were 7.23 and 6.49 ounces for the male and female students, respectively. Assume that the population standard deviations are 1.22 and 1.17 ounces, respectively. Using the 1% significance level, can you conclude that the average amount of ice cream dispensed by male college students is larger than the average amount dispensed by female college students? State the null and alternative hypotheses.arrow_forwardDefine Different Measure Scales?arrow_forwardDetermine which of the levels of measurement (nominal, ordinal, ratio) is most appropriate. The subjects in which college students major.arrow_forward
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