The overnight shipping business has skyrocketed in the last ten years. The single greatestpredictor of a company's success is customer service. A study was conducted to determine thecustomer satisfaction levels for one overnight shipping business. In addition to the customer'ssatisfaction level, the customers were asked how often they used overnight shipping. The resultsare shown in the following table:1.Satisfaction levelFrequency of Use<2 per month2-5 per monthHigh250MediumTOTALLow40014010555.140200>5 per monthTOTAL100702522046020700Suppose that one customer who participated in the study is chosen at random. What is the probability thatthe customer had a low level of satisfaction and used the company less than two times per month?

Given data Frequency of Use High Medium Low Total < 2 per…

Answered: The overnight shipping business has…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Answer this question in R. Show as much of your work as possible.
As the leader of the sales team, you would like to increase the revenue brought by your team. You discovered a program for sales personnel that supposedly improve interpersonal skills and thus help settle deals with customers more often. You decide to send8 of your sales people for the training, and compare the amount they brought in sales in the month before they went and in the month after they received the training. The data are: Xbefore: 400, 300, 1200, 2100, 700, 450, 650, 3400 Xafter: 1000, 400, 1000, 2500, 1200, 600, 800, 3000 A. Identify the appropriate statistical measure to use. B. Conduct the test. Make a decision about the null hypothesis, interpret your results and calculate effect size if applicable. At ?=.05, can you report to upper management that the training worked? Or was it a waste of money? C. Calculate 95% confidence intervals for the estimate of the difference.
At the Carnival game, there are three 1 dollar bills, one 5 dollar bill, and one 10 dollar bill in a bag. It's five dollars to play, and whichever bill you grab from the bag is the one you keep. Say you draw 20 times with the following data: $5, $1, $1, $10, $1, $1, $5, $1, $1, $5, $10, $1, $1, $1, $1, $5, $1, $1, $10, $5 What is the expected value?
Use this data and build a model of overall satisfaction. If a customer reports satisfaction ratings as follows, what is their overall satisfaction rating likely to be? (Keep one decimal place) Comfort = 84.5 Amenities = 86.7 In-House Dining = 78.9 Hotel Overall Comfort Amenities In-House Dining Cabo de Gata Vista 86.0 85.0 72.2 89.2 Cap d’Agde Resort 89.8 89.8 92.5 88.8 Club Lapu-Lapu 87.1 87.0 74.9 89.6 Hacienda Punta Barco 86.1 85.8 77.3 90.8 Hotel Iguana 89.1 91.2 81.9 88.5 Mokihana Hōkele 90.2 90.5 82.0 98.7 Muri Beach Odyssey 94.3 95.5 90.8 97.7 Pattaya Resort 92.9 96.8 84.1 96.6 Penang Resort and Spa 90.4 91.4 87.8 91.1 Rendezvous Kolocep 86.0 85.5 76.4 91.4 Rotorua Inn 87.1 89.0 91.6 73.5 Sainte-Maxime Quarters 88.6 89.1 78.2 91.2 Sanya Deluxe 85.1 84.0 77.3 91.8 Sidi Abdel Rahman Palace 89.0 90.1 93.0 89.6 Sojourner’s Respite 92.8 90.3 100.0 88.4 Spa Carribe 91.2 93.0 94.7 97.0 Spirit of Mykonos 89.3 91.4 85.8 90.7 Terracina Retreat…
why do you think the data presented this way?
What type of data (categorical, discrete numerical, continuous numerical) is each of the following variables? If there is any ambiguity about the data type, explain why the answer is unclear. Your college program. The number of college credits you have earned. Length of a TV commercial. The country with the most 2021 Olympic medals
Several years ago, two companies merged. One of the concerns after the merger was the increasing burden of retirement expenditures. An effort was made to encourage employees to participate in the 401(k) accounts. Nationwide, 63% of eligible workers participated in these accounts. The accompanying data table contains responses of 30 employees of the company when asked if they were currently participating in a 401(k) account. Complete parts a through d. Click the icon to view the data table. a. Determine the sample proportion of company workers who participate in 401(k) accounts. The sample proportion is. (Round to three decimal places as needed.) b. Determine the sampling error if in reality the company workers have the same proportion of participants in 401(k) accounts as does the rest of the nation. The error is (Round to three decimal places as needed.) c. Determine the probability that a sample proportion at least as large as that obtained in the sample would be obtained if the…
A recent report stated that in 1990, there were approximately 9.7 million employment opportunities in a Science, Technology, Engineering or Mathematics (STEM) related field. There is a reported 17.3 million positions available in a STEM related field in 2019. What is the relative change in the number of STEM positions available from 1990 to 2019? A. 7.6% B. 56.1% C. 43.9% D. 78.4%
What percentage of data would you predict would be between 25 and 50 and what percentage would you predict would be more than 50 miles? Use the Week 4 spreadsheet again to find the percentage of the data set we expect to have values between 25 and 50 as well as for more than 50. Now determine the percentage of data points in the dataset that fall within each of these ranges, using same strategy as above for counting data points in the data set. How do each of these compare with your prediction and why is there a difference? Predicted percentage between 25 and 50: ________________________ Actual percentage: Predicted percentage more than 50 miles: Actual percentage: ___________________________________________ Comparison ____________________________________________________ Why? __________________________________________________________ Drive: 44 20 88 6 71 42 76 63 61 63 84 28 55 33 88 80 86 83 5 85 25 25 54 54 81 73 29 76 78…
Jocelyn believes that the amount of sleep she tends to get on weekends differs from the amount of sleep she tends to get during the school week. To investigate this claim, she randomly selects 10 weekend days and 10 school days. She consults her smart watch to determine the number of hours she slept for each of the selected days. Here are the data. School week: 7, 7.5, 8, 6.5, 8, 7.5, 7, 6.5, 7, 8Weekend: 9.5, 9.5, 8.25, 8.5, 7.5, 10.25, 8, 7, 9.5, 10 Jocelyn would like to determine if these data provide convincing evidence that the true mean amount of sleep she gets on the weekend differs from the true mean amount of sleep she gets during the school week. She tests H0: μS – μW = 0, Ha: μS – μW ≠ 0, where μW = the true mean amount of sleep Jocelyn gets on the weekend and μS = the true mean amount of sleep she gets during the school week. The conditions for inference are met. What are the values of the test statistic and P-value for a t-test about a difference in means? Find the…
The following statistics represent weekly salaries at a construction company. Mean $620 First quartile $485 Median $540 Third quartile $600 Mode $535 94th percentile $683 The most common salary is $ The salary that half the employees' salaries surpass is $ The percent of employees' salaries that surpassed $600 is The percent of employees' salaries that were less than $485 is %. The percent of employees' salaries that surpassed $683 is %. If the company has 100 employees, the total weekly salary of all employees is $ %.
You are the Provost of a University and you want to see if students would like to participate in classroom-based physical activity. You implemented a quick pilot test and collected data after Spring quarter. Below is the first set of data. Based on the data, answer the question. Age (1-18-24 Participant Height (inches) Weight (pounds) Sex (1= male, 2 = female) Ever participated in classroom exercise (1= No, 2 = Yes) years, 2=25-34 years, 3 35-49 years, 4 50 years or older) 1 66 150 1 1 1 2 72 150 2 2 4 3 66 150 2 1 2 4 74 215 1 2 1 5 66 112 2 2 6 71 215 2 2 7 69 175 2 2 3 8 66 152 2 1 9 72 375 1 10 66 140 1 2 What type of variable is sex and age? dichotomous, ordinal dichotomous, nominal O nominal, discrete nominal, dichotomous

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