The success of an airline depends heavily on its ability to provide a pleasant customer experience. One dimension of customer service on which airlines compete is on-time arrival. The fileLateFlights contains a sample of data from delayed flights showing the number of minutes each delayed flight was late for two different airlines, Delta and Southwest.Delta34Ha:325259 43 30 342 85 30110 50 10 26 7048Southwest83 78 27 7027 90 38 52 76Southwest=451057542644542 33 663528 38 8545 33 50 63(a) Formulate the hypotheses that can be used to test for a difference between the population mean minutes late for delayed flights by these two airlines. (Let μ₁late for delayed Delta flights and μ₂ population mean minutes late for delayed Southwest flights. Enter != for ‡ as needed.)Ho:3364 65(b)What is the sample mean number of minutes late for delayed flights for each of these two airlines?Deltaminmin= population mean minutes (c) Calculate the test statistic. (Round your answer to three decimal places.)What is the p-value? (Round your answer to four decimal places.)p-value=Using a 0.05 level of significance, what is your conclusion?Reject Ho. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time.Do not reject Ho. There is statistical evidence that one airline does better than the other in terms of their population mean delay time.Do not reject Ho. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time.Reject Ho. There is statistical evidence that one airline does better than the other in terms of their population mean delay time.

Introduction: It is given that μ1, μ2 are the population mean number of minutes late for delayed…

Answered: The success of an airline depends…

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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A researcher thinks some social media sites are more prone to narcissistic behavior (excessive posting) than others. To examine the relationship between narcissism and social media, she recruits users of three different social media sites (Facebook, Twitter and Instagram), follows them for 24 hours and records the number of posts made by each user. The number of posts is given in the table below. Twitter Facebook Instagram 10 7 14 10 8. 10 10 10 11 9. www. 12 wwww. 11 13 12 8. 7 8. 11 8 10 12 11 11 a. Perform a complete hypothesis test to determine whether there are any significant differences among the three groups. Test at the .05 level of significance. SHOW ALL YOUR WORK b. Do you need to perform post hocs? Explain but do not compute the post hocs. C. Compute effect size. d. Summarize your findings in a source table. e. Write an interpretation of our results in APA-format (include means and SDs in your interpretation)
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A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
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