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 to determine the customer satisfaction levels for one overnight shipping business. In addition to the customer's satisfaction level, the customers were asked how often they used overnight shipping. The results are shown below in the following table: Satisfaction level Medium 140 Frequency of Use High <2 per month 2-5 per month >5 per month ТOTAL Low 10 TOTAL 400 250 140 55 200 70 460 25 5 100 220 20 700 Suppose that one customer who participated in the study is chosen at random. What is the probability that the customer did not have a medium level of satisfaction with the company? Select one: O A. 2 О В. 5 С. 1 35 O D. 24 35 O E. None of the other answers

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 to determine the customer satisfaction levels for one overnight shipping business. In addition to the customer's satisfaction level, the customers were asked how often they used overnight shipping. The results are shown below in the following table: Satisfaction level Medium 140 Frequency of Use High <2 per month 2-5 per month >5 per month ТOTAL Low 10 TOTAL 400 250 140 55 200 70 460 25 5 100 220 20 700 Suppose that one customer who participated in the study is chosen at random. What is the probability that the customer did not have a medium level of satisfaction with the company? Select one: O A. 2 О В. 5 С. 1 35 O D. 24 35 O E. None of the other answers

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...

See similar textbooks

Similar questions

Answer this question in R. Show as much of your work as possible.
A study is planned to compare the proportion of teenagers (ages 13–19) who dislike anchovies with the proportion of young adults (ages 20–30) who dislike anchovies. A random sample of 41 teenagers was taken, and 78% of them disliked anchovies. A random sample of 56 young adults was also taken, and 71% of them disliked anchovies. Difference = Teenagers - Young Adults The picture below is the question. Use the information above to help.
Please explained. Take your time.
The number of currently enrolled units of each student in a sophomore biology class were recorded. Most students reported being enrolled in 14-18 units, with only a couple students who reported being enrolled in just 3 units. Given the above scenario, which would you expect to have a largervalue (i.e., a higher number of units): the mean or the median? The mean The median The mean and the median will likely have the same value ( don't hand writing solution)
The boxplot below shows salaries for CPAS and Actuaries in a town. СРА CPA Actuary 70 40 Salary (thousands of S) 20 30 50 60 80 90 If a person is making the median salary for a CPA, his earning is equivalent to the first quartile salary for an Actuaries, and he is making less than % of Actuaries. Array
What is the purpose of a Data Dashboard? If you were the manager of a restaurant, for example, what 5 key metrics would you want to display on a Data Dashboard?
The following statistics represent weekly salaries at a construction company. Mean $625 First quartile $425 Median $585 Third quartile $680 Mode $475 85th percentile $850 The most common salary is $ The salary that half the employees' salaries surpass is $ The percent of employees' salaries that surpassed $680 is%. The percent of employees' salaries that were less than $425 is%. The percent of employees' salaries that surpassed $850 is%. If the company has 100 employees, the total weekly salary of all employees is $
Each year forbes ranks the world’s most valuable brands. A portion of the data for 82 ofthe brands in the 2013 forbes list is shown in Table 2.12 (forbes website, february, 2014).The data set includes the following variables:brand: The name of the brand.Industry: The type of industry associated with the brand, labeled Automotive& Luxury, Consumer Packaged Goods, financial Services, Other, Technology.brand Value ($ billions): A measure of the brand’s value in billions of dollarsdeveloped by forbes based on a variety of financial information about the brand.1-Yr Value Change (%): The percentage change in the value of the brand over theprevious year.brand Revenue ($ billions): The total revenue in billions of dollars for the brand.a. Prepare a crosstabulation of the data on Industry (rows) and brand Value ($ billions).Use classes of 0–10, 10–20, 20–30, 30–40, 40–50, and 50–60 for brand Value($ billions).b. Prepare a frequency distribution for the data on Industry.
The following statistics represent weekly salaries at a construction company. Mean $550 $455 First quartile Third quartile 85th percentile Median $540 $600 Mode $490 $890 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 $455 is %. The percent of employees' salaries that surpassed $890 is %. If the company has 100 employees, the total weekly salary of all employees is $
Steve Taylor is the owner of Home Plus, which is a chain of home improvement stores. He would like to investigate the relationship between month advertising and monthly sales. The table below shows the amount spent on advertising, in millions of dollars, over several months along with the corresponding sales, also in millions of dollars. Month Advertising($ millions) Sales($ millions) 1 3 11 2 3 13 3 4 12 4 5 21 5 1 7 Use the Home Plus data to calculate: The standard error of the estimate. The 95% confidence interval for the average sales for a month where $4 million was spent on advertising.
Determine whether the data is from a primary or secondary source. Primary Secondary
The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow. Click on the datafile logo to reference the data .