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 file LateFlights 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.DeltaSouthwest345943303456442336632428530481054538851105010267075453350635283787042353364652790385276(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. (Letpopulation mean minutes late for delayed Southwest flights. Enter != for + as needed.)H, = population mean minutes late for delayed Delta flights andHzHo:(b) What is the sample mean number of minutes late for delayed flights for each of these two airlines?DeltaminSouthwestmin(c) Calculate the test statistic. (Round your answer to three decimal places.)What is the p-value? (Round your answer to four decimal places.)2827

Mean and standard deviation calculations:- Hypothesis Test:-

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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The success of an airline depends heavily on its ability to provide a pleasant customer experience. One dimension of customer service on which airines compete is on-time arrival. The file LateFlights contains a sample of data from delayed fights showing the number of minutes each delayed fight was late for two dfferent airlines, Deita and Southwest. Click on the datafile logo to reference the data. DATA file Delta Southwest Delta Southwest Delta Southwest Delta Southwest Deita 36 30 34 38 119 120 63 37 35 67 114 53 102 55 8 87 68 100 43 50 86 74 17 66 87 35 40 34 64 41 53 30 86 33 57 61 7. 46 S2 26 70 62 75 54 80 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. 41= population mean minutes late for delayed Deita flights Ha = population mean minutes late for delayed Southwest flights Ho: H- 2Select your answer H.: -4a- Select your answer b. What is the sample mean number of minutes…
A researcher wants to investigate whether single people who own pets are happier than singles without pets. A mood inventory is administered to a group of 20-29 years old non-pet owners and a similar age group of pet owners. The pet owners are also matched one one one with non-pet owners for income, number of close friends, and general health. The data are as follows: Non-pet owner pet owner 10 15 9 9 11 10 11 19 5 17 9 15 is there a significant difference in the mood scores for non-pet owners and pet owners?
The following table shows the arrival data for two airlines in five cities. WANNA GETAWAY HAPPY FLIGHTS Percent On Time Number of Arrivals Percent On Time Number of Arrivals 475 115 102 553 2135 Destination Chicago New York City Seattle Santiago Boston 84.6% 92.8% 88.7% 72.1% 78.8% 745 5355 402 404 233 92.8% 96.3% 91.2% 86.2% 84.1% a. Which airline has the higher percentage of on-time flights when viewed on a per-city basis? Answer: ? b. Compute each of the following percentages. (Simplify and round your answers to one tenth of a percent.) Wanna Getaway Airlines had an on-time percentage of over all five cities. Happy Flights Airlines had an on-time percentage of over all five cities.
All Greens is a franchise store that sells house plants and lawn and garden supplies. Although All Greens is a franchise, each store is owned and managed by private individuals. Some friends have asked you to go into business with them to open a new All Greens store in the suburbs of San Diego. The national franchise headquarters sent you the following information at your request. These data are about 27 All Greens stores in California. Each of the 27 stores has been doing very well, and you would like to use the information to help set up your own new store. The variables for which we have data are detailed below. x1 = annual net sales, in thousands of dollarsx2 = number of square feet of floor display in store, in thousands of square feetx3 = value of store inventory, in thousands of dollarsx4 = amount spent on local advertising, in thousands of dollarsx5 = size of sales district, in thousands of familiesx6 = number of competing or similar stores in sales district A sales district…
Practice question #3 Investigators want to know if those who work long hours have more trouble sleeping. In one sample of 190 British civil servants who worked more than 40 hours a week, 95 of them said they usually get less than 7 hours of sleep per night. In a second sample of 150 British civil servants who worked between 35 and 40 hours per week, 63 of them said they usually get less than 7 hours of sleep per night. The investigators believe these are represent samples of the populations. Find a 95% Confidence Interval for the difference in proportions of these two populations that get less than 7 hours of sleep per night. Then interpret the confidence interval. Be sure to check that any necessary conditions are met first. Round final answers to 3 decimal places. Verify conditions are appropriate for method: Interval: ________________________ Does the interval contain zero? __________ What does this information lead you to conclude?
Construct the chain indices for the following data. Year Sugar Gur Tea Coffee 2001 88 65 72 89 2002 100 72 64 100 2003 104 73 68 105 | 2004 99 74 79 85
An advertising company is comparing published listening figures for different radio stations and podcasts in order to decide where is the best place to put their adverts. The audience figures for the last 20 quarters of radio stations A and B are in Table 1. Table 1 Audience figures in 100 000s of radio stations A and B for the last 20 quarters. Radio Station A Radio Station B 112 106 108 113 111 109 108 112 115 115 118 114 116 115 113 103 107 105 103 106 98 101 100 99 100 99 100 98 96 97 98 87 88 92 98 99 96 102 104 100
Doctors at a technology research facility randomly assigned people to use computer keyboards in two rooms. In one room a group of people typed a manuscript using standard keyboards, while in the other room a second group of people typed the same manuscript using ergonomic keyboards to see if those people could type more words per minute. The table shows the resulting data. Standard Ergonomic Words per Words per minute minute 12 43 38 35 21 35 28 69 18 58 45 52 40 36 42 37 52 38 19 47 24 46 63 58
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…
A researcher wants to study the relationship between salary and gender. She randomly selects 392 individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Income Male Female Total Below $25,000$⁢25,000 48 45 93 $25,000$⁢25,000-$50,000$⁢50,000 38 36 74 $50,000$⁢50,000-$75,000$⁢75,000 46 40 86 Above $75,000$⁢75,000 68 71 139 Total 200 192 392 State the conclusion of the hypothesis test at the 0.010.01 level of significance.
Apperson and Fitz is a chain of clothing stores that caters to high school and college students. It publishes a quarterly catalog and operates a Web site that features provocatively attired males and females. The Web site is very expensive to maintain, and company executives are not sure whether the number of hits at the site relate to sales (i.e., people may be looking at the site’s pictures only). The Web master has accumulated the following data for hits per month and orders placed at the Web site for the past 20 months: Develop a linear regression model for these data and indicate whether there appears to be a strong relationship between Web site hits and orders. What would be the forecast for orders with 50,000 hits per month?
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 Ultrasound 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 5.00 8.00 9.25 12.00 17.25 29.50 5.50 6.00 8.00 13.50 9.25 11.00 12.00 14.00 17.00 18.00 4.25 4.75 9.00 11.75 17.00 27.50 6.50 6.75 8.75 14.50 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 = MX-ray-Multrasound. Round your answers to three decimal places.) × % Interpret the interval in context. O There is a 95% chance that the true mean body fat percentage…

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