The overnight shipping business has skyrocketed in the last ten years. The single greatest predictor of a company's success is customer service. A study was conducted todetermine the customer satisfaction levels for one overnight shipping business. In addition to the customer's satisfaction level, the customers were asked how often they usedovernight shipping. The results are shown below in the following table:Frequency of Use High25014070460<2 per month2-5 per month>5 per monthTOTALSatisfaction levelMedium14055000 025220Low105520TOTAL400200100700A customer is chosen at random. Find the probability that the customer uses the company more than five times per month (>5) AND the customer expressed low satisfactionwith the company?0.00415/1005/205/700

Answered: The overnight shipping business has…

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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On December 17, 2007 baseball writer John Hickey wrote an article for the Seattle P-I about increases to ticket prices for Seattle Mariners games during the 2008 season. The article included a data set that listed the average ticket price for each MLB team, the league in which the team plays (AL or NL), the number of wins during the 2007 season and the cost per win (in dollars). The data for the 16 National League teams are shown below. team league price wins cost/win Arizona Diamondbacks NL 19.68 90 35.40 Atlanta Braves NL 17.07 84 32.89 Chicago Cubs NL 34.30 85 65.33 Cincinnati Reds NL 17.90 72 40.32 Colorado Rockies NL 14.72 90 26.67 Florida Marlins NL 16.70 71 38.13 Houston Astros NL 26.66 73 59.11 Los Angeles Dodgers NL 20.09 82 34.64 Milwaukee Brewers NL 18.11 83 35.37 N.Y. Mets NL 25.28 88 46.56 Philadelphia Phillies NL 26.73 89 48.69 Pittsburgh Pirates NL 17.08 68 40.67 San Diego Padres NL 20.83 89 38.15 San Francisco Giants NL 24.53 71…
What level of data does the example represent? Credit Card Number
Answer this question in R. Show as much of your work as possible.
Please explained. Take your time.
Use this dataset for your analysis software.Cost-to-charge ratio (the percentage of the amount billed that represents the actual cost) for inpatient and outpatient services at 11 Oregon hospitals is shown in the following table. A scatterplot of the data is also shown. Cost-to-Charge Ratio Hospital OutpatientCare InpatientCare 1 62 80 2 66 76 3 63 75 4 51 62 5 75 100 6 65 88 7 56 64 8 45 50 9 48 54 10 71 83 11 54 100 The least-squares regression line with y = inpatient cost-to-charge ratio and x = outpatient cost-to-charge ratio is = -1.1 + 1.29 x. (a) Is the observation for Hospital 11 an influential observation? Yes or No (b) Is the observation for Hospital 11 an outlier? Yes or No (c) Is the observation for Hospital 5 an influential observation? Yes or No (d) Is the observation for Hospital 5 an outlier? Yes or No
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Thirteen students entered the business program at Sante Fe College 2 years ago. The following table indicates what each student scored on the high school SAT math exam and their grade-point averages (GPAs) after students were in the Sante Fe program for 2 years. Student A B C D E F G SAT Score 423 375 590 693 608 390 418 GPA 2.93 2.87 3.03 3.48 3.66 2.85 2.18 Student HIJKLM SAT Score 484 734 501 613 712 362 GPA 2.56 3.22 2.01 2.77 3.90 1.58 a) The least - squares regression equation that shows the best relationship between GPA and the SAT score is (round your responses to four decimal places): ModifyingAbove y with caret = enter your response here + enter your response herex where ModifyingAbove y with caret = GPA and x = SAT score. b.) for a student with an SAT score of 390, the expected gpa = (round your response to the neares two decimal places.) c.) for a student with an SAT score of 790 the expected gpa = ( round your response to the neares two decimal places.) the coeffcient of…
If a data set has 15 mean standard daviation 2 , percentage observation lie between 13 and 17
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Determine whether the following statement is true. The median of a data set will increase by a factor of 10 if the largest value increased by a factor of 100.

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