2) Kate works as a manager at a call center. She wants to observe how waiting times ofcustomers to be assigned with a representative show variation so that she can schedule theworking hours of employees accordingly. Her claim is that variance between waiting times is nomore than 60 minutes. She keeps track of waiting times for 22 customers which are givenbelow:3529123516283713.1438153923 26291619 2315251728Kate wants to find the smallest Type 1 error probability that allows her to reject Ho. Define aninterval for such Type 1 error probability.

Given that, Kate works as a manager at a call center and wants to observe how waiting times of…

Answered: 2) Kate works as a manager at a call…

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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In marketing children’s products, it is extremely important to produce television commercials that hold the attention of the children who view them. A psychologist hired by a marketing research firm wants to determine whether differences in attention span exist among advertisements for different types of products. A number of children under 10 years of age are asked to watch one 60-second commercial for one of three types of products, and their attention spans are measured in seconds. The results are shown in the accompanying table: Type of Product Advertised Toys/Games Food/Candy Children’s Clothing 42 55 30 45 58 35 48 52 42 40 60 32 50 57 38 b). What type of error is possible and describe this error in terms of the problem.
The following table shows the length, in centimeters, of the humerus and the total wingspan, in centimeters, of several pterosaurs, which are extinct flying reptiles. (A graphing calculator is recommended.) Pterosaur Data Humerus, x Wingspan, y Humerus, x Wingspan, y 27 576 32 589 33 605 35 745 25 559 24 552 23 472 22 461 18 411 17 410 1.5 36 1.4 30 1.3 29 0.9 28 0.8 24 (a) Find the equation of the least-squares regression line for the data. Round constants to the nearest hundredth. (b) Use the equation from part (a) to determine, to the nearest centimeter, the projected wingspan of a pterosaur if its humerus is 56 centimeters. cm
For the following line graph, State at least one type of conclusion that could be made from the data provided for the KPI. Suggest one other data source that would provide more information to make data-driven decisions. Explain what information that source would supply. (I used the clustered bar chart) Examples: 1) The completion KPI measures the percentage of South Texas College students who finished their degree or certificate program within six years. From the line graph, it can be seen that the completion rates have remained nearly constant through the years. Data from the THECB was used in this case. 2) Information about the percentage of students who receive credit for attempted courses is available on the South Texas College KPI webpage. According to the data, over the past five years, an increasing number of students have been receiving credit for courses they have attempted. Data on the percentage of students who complete courses, the percentage of students who withdraw…
The following table shows the number of hours some high school students in 2 cities spend watching television each week: City A 21 23 24 22 24 25 23 23 22 City B 24 22 20 23 23 50 20 46 21 Part A: Create a five-number summary and calculate the interquartile range for the two sets of data, and tell whats the best measure of center. Justify.
The following sales forecast was generated in Excel. What is line C? Sales Revenue $250,000 $200,000 $150,000 $100,000 $50,000 $0 1 wwwww 3 5 Multiple Choice 7 Sales Revenue пик -Forecast( Sales Revenue) Most likely predicted level of sales revenue 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Highest predicted level of sales revenue Actual sales revenue Lowest predicted level of sales revenue A B C
Assume we have data on all of the the students in our class. There are 25 students in the class. There are 4 seniors in the class and there are 6 juniors. What is the cumulative relative frequency of juniors and seniors?
a. Make the case with graphs and numbers that women are a growing presence in the U.S. military. b. Make the case with graphs and numbers that women are a declining presence in the U.S. military. c. Write a paragraph that gives a balanced picture of the changing presence of women in the military using appropriate statistics to make your points. What additional data would be helpful?
Continue monitoring the process. A second ten days of data have been collected, see table labeled “2nd 10 Days of Monitoring Reservation Processing Time” in the Data File. Develop Xbar and R charts for the 2nd 10 days of monitoring. Plot the data for the 2nd 10 days on the Xbar and R charts. Is the reservation process for the 2nd 10 days of monitoring in control? If the control chart indicates an out-of-control process, note which days, the pattern, and whether it is the Xbar or R chart. Based on the X-bar and R Charts that you developed for the 2nd 10 days of data, is the process in control? Group of answer choices No. The X-bar and R Charts are both out of control. No. The X-bar Chart is in control, but the R Chart is out of control. No. The R Chart is in control, but the X-bar Chart is out of control. Yes. The X-bar and R Charts are both in control.
A real estate agent has been given 10 houses to list. The house prices in dollars are: 110,000 95,000 87,000 92,000 99,000 250,000 265,000 210,000 275,000 240,000 A potential buyer calls and asks about house prices in the area. What measure of central tendency would best describe this data set? How should the real estate agent report it? Justify your response.
During one shift, the express lane clerk recorded how many times customers violated the "10 items or less" rule for his lane. In particular, he recorded how many items over the limit each violator placed on the conveyor belt. This data is summarized in the histogram below. NOTE: The last class actually represents "7 or more items," not just 7 items. What is the frequency of times the limit was exceeded by more than 2 items?

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