<11:58Math 150 Assignm...Dlate aTUDION.New York15,77414,00013,38715,00714,441Virginia16,94413,76813,51017,89818,1524) A magazine listed the top 100 public colleges based on many factors. From the list, here is the averagedebt at graduation for various schools in four selected states. Perform a one-way ANOVA to decidewhether it can be concluded at a = 0.05 that there is a difference in average debt by state?i). Write the null and alternative hypotheses.California15,06114,03913,18415,29514,961iii). State a conclusion.3Dashboard CalendarPennsylvania17,68916,687ii). Give the value of the F statistic and the p-value using a calculator.16,63216,30018,7984Q3To DoBNotifications8Inbox

(i) There is no evidence to conclude that there is significant difference in average debt by…

Answered: 4) A magazine listed the top 100 public…

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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he North American Free Trade Agreement (NAFTA) enacted in 1994 is a trilateral trade agreement signed by the United States, Canada and Mexico. This trade agreement has been controversial since its inception and Americans remain split on the issue. In a Gallup Poll conducted February 1-5, 2017, 420 out of 912 randomly selected Americans aged 18 or older stated that they believed that NAFTA was bad for the United States. Find the point estimate for the proportion of Americans who believe that NAFTA was bad for the United States. Round your answer to 4 decimal places. Find the margin of error for a 95% confidence interval. Round your answer to 4 decimal places. Construct the 95% confidence interval for the proportion of Americans who believe that NAFTA was bad for the United States. Enter your answer as an open interval of the form (a,b) and round to 3 decimal places. Can you conclude that more than half of Americans believe that NAFTA was bad for the United States? No conclusions can…
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It’s assumed that students need to stay awake more to study during finals week. One way to measure this is how much coffee is consumed during Finals week at night. A local coffee house near APU counted the number of cups of coffee sold per hour during Finals week after 6 p.m. We randomly select ten (10) hours of sales records during Finals week and find out that the following number of cups of coffee were consumed: 18, 17, 22, 14, 17, 20, 22, 24, 15, 15 By comparison, the sales records from a previous week were used as a comparison. The following number of cups of coffee were consumed over a seven (7) hour period: 9, 13, 5, 15, 17, 10, 11 a. Determine what is the appropriate statistical procedure, with a brief explanation (one sentence) as to why this is the appropriate procedure. b. State the null hypothesis. c. Execute the proper calculations with the appropriate procedures. d. Present a graph when appropriate of your results. e. Include any appropriate post-hoc tests. f. State…
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A nonprofit company concerned with the school dropout rates has designed a tutoring program aimed at students between 16 to 18 years old. A national center for educational statistics reported that the high school dropout rate for the year 2000 was 10.9%.One school district, who adopted the use of the nonprofit's tutoring program and whose dropout rate has always been very close to the national average, reported in 2004 that 158 of their 1769 students dropped out. Is their experience evidence that the tutoring program has been effective? Determine the hypotheses for this test. Choose the correct answer below A. H0: p=0.109 HA: p≠0.109 B. H0: p≠0.109 HA: p=0.109 C. H0: p=0.109 HA: p<0.109 D. H0: p=0.109 HA: p≥0.109 E. H0: p≥0.109 HA: p=0.109 F. H0: p≤0.109 HA: p=0.109 Compute the test statistic. enter your response here *______* Find the P-value. enter your response here* ______* 3. Is their experience evidence that the tutoring…
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A business executive asks his administrative assistant to call three different travel agents and find out what price they can get on tickets from 5 different airlines to a specified destination. Below is some partial information after analyzing the original price quotes. SS(airlines) = 7042.27; SS(total) = 7906.99. a. Construct the appropriate ANOVA table.
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