Economics The mean arrival rate of flights at O'Hare Airport in marginal weather is 195 flights per hour with a historical standard deviation of 14flights. To increase arrivals, a new air traffic control procedure is implemented. In the next 30 days of marginal weather, the meanarrival rate is 202 flights per hour.187196219180210191Click here for the Excel Data FileO aObwwwwww183217194212222208 188193222a. H₁: > 195, reject H₁ if z < 1.960b. H₁: μ< 195, reject H₁ if z > 1.960c. He: ≥ 195, reject Ho if z < 1.960d. He: ≤ 195, reject He if z > 1.960OcTest statistic200183211(a) Set up a right-tailed decision rule at a = .025 to decide whether there has been a significant increase in the mean number ofarrivals per hour. Choose the appropriate hypothesis.185189210 229188222200214220206191190(b-1) Calculate the test statistic. (Round your answer to 2 decimal places.)

Let μ be the population mean number of arrivals per hour. Given that, Population mean…

Answered: (a) Set up a right-tailed decision rule…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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explain the conceptual framework diagram what is the null hypothesis? what is the alternative hypothesis?
Brawdy Plastics, Inc., produces plastic seat belt retainers for General Motors at the Brawdy Plastics plant in Buffalo, New York. After final assembly and painting, the parts are placed on a conveyor belt that moves the parts past a final inspection station. How fast the parts move past the final inspection station depends upon the line speed of the conveyor belt (feet per minute). Although faster line speeds are desirable, management is concerned that increasing the line speed too much may not provide enough time for inspectors to identify which parts are actually defective. To test this theory, Brawdy Plastics conducted an experiment in which the same batch of parts, with a known number of defective parts, was inspected using a variety of line speeds. The following data were collected. Number of Line Defective Speed Parts Found 20 24 20 21 30 19 30 15 40 14 40 17 50 14 50 12 (a) Develop a scatter diagram with the line speed as the independent variable. 25 25 20 20 20 15 15 15 10 10…
Math Logic What does it mean to say a first order theory has a model?
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Holding LargeTransaction constant, how will the predicted odds of purchase fraud change for a purchase with a SimilarityScore of 900 compared to 675? Predicted odds would increase Odds are 97.01 percent less O Odds are 98.26 percent less O Odds are 90.37 percent less O Odds are 99.15 percent less
Beginning Inventory $11,500 Daily Alternative Purchases (+) $1,000 Produce Purchases (+) $550 Protein Purchases (+) $1,000 Dry Goods Purchases (+) $1,000 Total Available = $15,050 Ending Inventory (-) $10,900 Food Cost (COGS) (=) $4,100 Revenue (Sales) (+) $12,500 Food Cost % (=) 32.8% If the Revenue (sales) decreases and everything else remains the same, what happens to the Food Cost percentage? a. Food cost % increases because the ratio of food cost to revenue will be higher b. Food cost % decreases because the ratio of food cost to revenue will be higher c. Food cost % increases because the ratio of food cost to revenue will be lower d. Food cost % decreases because the ratio of food cost to revenue will be lower
Mid-career Salary (in thousands of dollars) (y) Yearly Tuition (in thousands of dollars) (x) 21 87 21 72 33 92 19 83 17 68 19 98 13 57 31 102 14 58 26 101 11 86 15 45 x: 21, 21, 33, 19, 17, 19, 13, 31, 14, 26, 11, 15 y: 87, 72, 92, 83, 68, 98, 57, 102, 58, 101, 86, 45 1. Find the best fit line for the data. y = + 2. Graph the scatter plot of the data together with the best fit line using R. (This portion of the problem is not graded.) 3. Predict the mid-career salary of a student attending a college with an annual tuition of $33 thousand. %24 thousand
Question 19 Lucille, Rocio, and Cristina are all taking College Mathematics but from different professors. They all recently took a statistics exam and the exam scores were normally distributed in each of their classes. • Lucille's class had an average grade of 77 and the standard deviation was 4. Lucille earned 84.2 on the exam. Rocio's class had an average grade of 85 and the standard deviation was 3. Rocio earned 85.6 on the exam. Cristina's class had an average grade of 85 and the standard deviation was 5. Cristina earned 91.5 on the exam. Since some professors give harder exams than others, these students decided to use statistics to figure out who did the best on their exam. Use the Cumulative Z-Score Table to answer the following questions. Write your answers as a percent with two decimal places. Hint • Lucille's score places her above % of her class. % of her class. Rocio's score places her above % of her class. • Cristina's score places her above Which person has the highest…

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