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. Click on the datafile logo to reference the data. DATA file Southwest 120 29 67 89 115 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. 141 = population mean minutes late for delayed Delta flights 142 = population mean minutes late for delayed Southwest flights Ho 141 142 : Delta 113 36 113 82 26 - Select your answer - 0 Southwest 49 56 31 110 141 df = p-value = We - Select your answer-reject Ho. Delta 142 7 39 90 94 (rounded to 2 decimals) (rounded to 2 decimals) Southwest 66 131 125 26 31 H₂H₂ - Select your answer - 0 b. What is the sample mean number of minutes late for delayed flights for each of these two airlines? Sample mean for Delta = Sample mean for Southwest = c. Using a 0.05 level of significance, what is the p-value and what is your conclusion? (rounded down to nearest whole number) (rounded to 4 decimals) Delta 16 45 74 54 16 Southwest 138 58 111 49 9 Delta 80 33 57 113 143 Delta 49 119 25 13 51

Brookdale College is conducting a study to determine the patterns in the number of degrees it has been awarding to students in different majors over the past 11 years. The data for some of these majors are shown in the table. Horticulture Auto Engineer Technology Business Administration Dental Hygiene Nursing ✔ Auto Engineer Technology ✔Business Administration Dental Hygiene Nursing 1999 2000 16 Auto Engineer Technology prediction Business Administration prediction Dental Hygiene prediction Nursing prediction 10 161 60 70 25 12 149 49 74 2001 2002 2003 21 16 136 46 63 15 12 93 46 62 20 10 106 34 55 2004 2005 20 9 89 44 64 14 13 81 39 64 2006 520 16 14 63 48 104 2007 2008 2009 12 12 50 46 147 12 20 59 44 155 6 27 50 41 (a) Decide for which of these majors there is a significant level of correlation and for which there is little or no correlation. (Select all the majors with a significant level of correlation.) Horticulture 146 (b) For those majors for which there is a significant level…

A psychologist at a private mental health facility was asked to determine whether there was a clear difference in the length of stay for patients with different categories of diagnosis. Looking at the last seven patients in each of the three major categories, the results (in terms of weeks of stay) were as follows. Using the data below, test whether the length of stay for patients vary based on category of diagnosis.  Diagnosis Category  Affective Disorders  Cognitive Disorders  Drug-related Conditions  7 12 8 6 8 10 5 9 12 6 11 10 9 11 9 5 10 11 6 9 12 The above scenario requires a one-way Anova, with a bar graph. Question - I need to write an explanation for the output given. I am to include a statistical notation and explanation as to whether the results are significant or not significant.  Examples of Explanation: Non-significant:A One-Way ANOVA was conducted to examine whether a preceding situation (watching a…

In the digital age of marketing, special care must be taken to make sure that programmatic ads appearing on websites align with a company's strategy, culture and ethics. For example, in 2017, Nordstrom, Amazon and Whole Foods each faced boycotts from social media users when automated ads for these companies showed up on the Breitbart website (ChiefMarketer.com). It is important for marketing professionals to understand a company's values and culture. The following data are from an experiment designed to investigate the perception of corporate ethical values among individuals specializing in marketing (higher scores indicate higher ethical values). Marketing Managers Marketing Research Advertising 5 4 6 6 5 6 6 5 6 4 4 5 5 5 7 4 4 6          At the ? = 0.05 level of significance, we can conclude that there are differences in the perceptions for marketing managers, marketing research specialists, and advertising specialists. Use the procedures in Section 13.3 to…