Waiting times (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where customerswait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each of the two sets ofdata, then compare the variation.is couBank A (single line): 6.5 6.6Bank B (individuallines):6.76.87.17.37.57.67.6 7.6 0rms o4.3 5.4 5.9 6.1 6.77.6 7,7 8.59.4 9.8%.The coefficient of variation for the waiting times at Bank A is(Round to one decimal place as needed.)

The given data is , waiting time of bank A waiting time of bank B 6.5 4.3 6.6 5.4 6.7…

Answered: Waiting times (in minutes) of customers…

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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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.
Find the percentil for the data point. Data set: 5 12 9 7 5 5 12 7 5 12 2 12 15 6 9 5 12 9 7 12;data point 6
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A County Board of Supervisors has appointed an urban planning committee to evaluate proposed community development projects. The committee is analyzing, among other things, data on household incomes in two cities within the county. They have collected data on the income of 80 households in each of the two cities. The histograms below show the distributions of the two sets of incomes (in thousands of dollars). Each histogram shows household income on the horizontal axis and number of households on the vertical axis. The means and standard deviations for the data sets are also given. City A City B 25- 25 - 20+ 20- 15- 15- 10+ 10- 5+ 5- 0- 10 20 30 40 50 60 70 80 90 100 10 20 30 40 50 60 70 80 90 100 City A mean: 38.13 thousand dollars City B mean: 55.13 thousand dollars City A standard deviation: 20.84 thousand dollars City B standard deviation: 14.71 thousand dollars The committee wants to use the Empirical Rule to make some approximations about both data sets. Unfortunately, it is…
A high school has 32 players on the football team. The summary of the players' weights is given in the box plot. What is the median weight of the players? 193 200 243 188 264 - 0o 150 160 170 180 190 200 210 220 230 240 250 260 270 00 Weight (in pounds) Answer O Tables E Keypad Keyboard Shortcuts pounds
Part II. The data below represents the weights (in kgs) of a sample of 20 giant turtles: 61 65 67 67 69 73 74 74 74 77 77 78 80 84 88 89 92 93 95 96 1. Construct a Stem-and-Leaf display of this data based on the stems 6, 7, 8, 9. 2. Find the percentage of weights greater than or equal to 73 kgs. 3. Find the percentage of weights less than 80 kgs.
Answer d & e only
The price drivers pay for gasoline often varies a great deal across regions throughout the United States. The following data show the price per gallon for regular gasoline for a random sample of gasoline service stations for three major brands of gasoline (Shell, BP, and Marathon) located in eleven metropolitan areas across the upper Midwest region (OhioGasPrices.com website, March 18, 2012). Click on the datafile logo to reference the data. DATA file Shell BP Metropolitan Area Marathon Akron, Ohio Cincinnati, Ohio Cleveland, Ohio Columbus, Ohio Ft. Wayne, Indiana Indianapolis, Indiana Lansing, Michigan Lexington, Kentucky Louisville, Kentucky Muncie, Indiana Toledo, Ohio 3.77 3.72 3.87 3.76 3.78 3.87 3.89 3.79 3.83 3.83 3.85 3.77 3.83 3.85 3.93 3.84 3.84 4.04 3.87 3.87 3.99 3.79 3.78 3.81 3.69 3.78 3.84 3.84 3.83 3.79 3.79 3.86 3.86 Use a = .05 to test for any significant difference in the mean price of gasoline for the three brands. Round SS to 6 decimals, MS to 6 decimals, F to 2…
Data: 3.5, 3.2, 3.1, 3.5, 3.6, 3.2, 3.4, 2.9, 4.1, 2.6, 3.3, 3.5, 3.9, 3.8, 3.7, 3.4, 3.6, 3.5, 3.5, 3.7, 3.6, 3.8, 3.2, 3.4, 4.2, 3.6, 3.1, 2.9, 2.5, 3.5, 3.1, 3.2, 3.7, 3.8, 3.4, 3.6, 3.5, 3.2, 3.6, 3.8 Sketch a histogram with ranges of 0.1, from minimum (2.5) to maximum (4.2) values. Then sketch a histogram with ranges of 0.3. You can include the relative frequency scales on the same sketches.
L4Q2.Which one of the following scatter plots best describes the given data?
help please
Is the variable(foot print) below normally distributed or skewed? If skewed, indicate the direction. male shoe print #1 32.2 #2 30.1 #3 29.0 #4 31.8 #5 29.4

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