The Alianz Arena is a football stadium in Munich home to Bayern Munich a German football club. The club have identified 12 potential camera locations within the stadium. They have also identified 25 stadium areas which may require camera coverage during the pre-game, game and post-game activities. The following table indicates each camera location and the stadium areas the camera can cover: Camera Location 1 2 3 4 5 6 7 8 9 10 11 12 Stadium Areas 1,3,4,6,7 8,4,7,12 2,5,9,11,13 1,2,18,19,21 3,6,10,12,14 8,14,15,16,17 18,21,24,25 2,10,16,23 1,6,11 20,22,24,25 2,4,6,8 1,6,12,17 Bayern Munich executives are concerned about the costs for the production. Consequently, they have set an objective of minimizing the number of camera locations. In seeking this objective they want at least one camera to be available to cover each stadium area. Camera location 9 is the "blimp," and executives have decided that the blimp will be used because of viewer expectation and fascination with the shots from this location. Stadium areas 1 and 2 are locker room locations. The viewer interest in football personalities has led the executives to request that at least two camera locations be available to cover each of these areas. Furthermore, one of the following configurations has to happen: at least 2 cameras in locations 1, 2, 3 or at least 1 camera in location 4 and 5. Also due to space limitations if a camera at location 5 is installed then a camera at location 6 cannot be installed. Formulate an ILP model to determine the minimum number of cameras needed for the desired coverage.

The authors of a paper compared two different methods for measuring body fat percentage. One method uses ultrasound, and the other method uses X-ray technology. Body fat percentages using each of these methods for 16 athletes (a subset of the data given in a graph that appeared in the paper) are given in the accompanying table. You can assume that the 16 athletes who participated in this study are representative of the population of athletes. Athlete X-ray 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 5.00 13.00 9.25 12.00 17.25 29.50 5.50 6.00 8.00 11.50 9.25 11.00 12.00 14.00 17.00 18.00 Ultrasound 4.50 9.75 9.00 11.75 17.00 27.50 6.50 6.75 8.75 12.50 9.50 12.00 12.25 15.50 18.00 18.25 Use these data to estimate the difference in mean body fat percentage measurement for the two methods. Use a confidence level of 95%. (Use μ = x-ray ultrasound. Round your answers to three decimal places.) 1% - Interpret the interval in context. O We are 95% confident that the true mean body fat percentage…

To inspect manufacturing processes, companies typically examine samples of parts for deficiencies. One company that manufactures ballpoint pens selected samples of ,000 pens on each of 17 days. The company recorded, for each sample of 1,000, the number of defective pens in the sample. Here are their data. 1, 1, 2, 2, 2, 3, 3, 5, 5, 6, 7, 7, 10, 11, 13, 14, 18 Send data to calculator Send data to Excel Frequency 8. 6+ 2+ 2 4 12 16 20 Number of defective pens (out of 1000) O Mean (a) For these data, which measures of OMedian central tendency take more than one value? Mode Choose all that apply. None of these measures OMean (b) Suppose that the measurement 18 (the largest measurement in the data set) were OMedian replaced by 39. Which measures of central tendency would be affected by the change? OMode Explanation Check O 2021 McGraw-Hill Education. All Rights Reserved. Terms of Use Privacy Accessibility 99+ O Type here to search 2. 4.

Answer number 4 FULLY