According to the process supervisor of Magic, Inc., one of their machines, the Fantasy 2000,appears to be idle approximately 25 percent of the time. Develop a work-sampling plan todetermine the percentage of idle time, accurate within a 3.5 percent error (±3.5%) with a 95percent confidence level. Use the random numbers from the table provided on eClass to derivethe first day's sampling schedule. Assume that the sampling will take place over 60 days, and thatyou use seven-hour shifts from each day 7:00 AM to 3:00 PM. Time7:00 7:59 AM8:00-8:59 AM9:00 9:59 AM-10:00-10:59 AM11:00-11:59 AM12:00-12:59 PM1:001:59 PM2:00 - 2:59 PMRandom Numbers100-159200-259300-359400-459500-559600-659700-759800-859

To approach the work-sampling plan for determining the percentage of idle time with a 3.5% error and…

Answered: According to the process supervisor of…

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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A bank wonders if omitting the annual fee for customers who charge at least $4000 per year would increase the amount of credit card usage (i. e. the total amount charged in a year). The bank makes this offer to a random sample of customers that have spent at least $4000. It then compares how much these customers charged this year with how much they charged last year. This data is found on sheet "CC Fees." Is there evidence at a 5% significance level to state that the mean amount increases when the "no-fee" offer was given?
In a study of government financial aid for college students, it becomes necessary to estimate the percentage of full-time college students who earn a bachelor's degree in four years or less. Find the sample size needed to estimate that percentage. Use a 0.05 margin of error and use a confidence level of 99%. Complete parts (a) through (c) below.
As the plant operations manager for Oxford Biotech, you are responsible for monitoring the amount of product placed in each carton. To be consistent with package labeling, cartons should contain a mean of 30 grams of product. Thousands of cartons are produced during a shift, and weighing every single carton was determined to be too time-consuming, costly, and inefficient. Instead, a random sample of cartons is selected. Based on your analysis of the sample, you had to decide whether to maintain, alter, or shut down the process.Using the concept of the sampling distribution of the mean, you are able to determine probabilities that such a sample mean could have been randomly selected from a population with mean of 30 grams. Specifically, if a sample size of n = 20 is selected from a population with mean of 30 grams and standard deviation of 0.60, you calculate the probability of selecting a sample with a mean of 29.85 grams or less to be ____.
When an audit must be conducted that involves a tedious examination of a large inventory, the audit may be very costly and time consuming if each item in the inventory must be examined. In such situations, the auditor frequently obtains a random sample of items from the complete inventory and uses the results of an audit of the sampled items to check the validity of the company's financial statement. A large company’s financial statement claims an inventory that averages $600 per item. The following data are the auditor’s assessment of a random sample of 75 items from the company’s inventory. The values resulting from the audit are rounded to the nearest dollar. Estimate the mean value of an item in the inventory using a 95% confidence interval. Is there substantial evidence (a 5 .01) that the mean value of an item in the inventory is less than $600? What is the target population for the above inferences? Would normal distribution–based procedures be appropriate for answering the…
As the plant operations manager for Oxford Biotech, you are responsible for monitoring the amount of product placed in each carton. To be consistent with package labeling, cartons should contain a mean of 368 grams of product. Thousands of cartons are produced during a shift, and weighing every single carton was determined to be too time-consuming, costly, and inefficient. Instead, a random sample of cartons is selected. Based on your analysis of the sample, you had to decide whether to maintain, alter, or shut down the process. Using the concept of the sampling distribution of the mean, you can determine the probability that such a sample mean could have been randomly selected from a population with mean of 368 grams. Specifically, if a sample size of n = 25 is selected from a population with mean of 368 grams and standard deviation of 15, the probability of selecting a sample with a mean of 365 grams or less is Enter your answers using 4 decimal places (Do NOT enter as a percentage).
Unoccupied seats on flights cause airlines to lose revenue. As an intern in the finance department for Sunrise Airways, Garrett is tasked with estimating the average number of unoccupied seats per flight over the past year. To accomplish this, the records of 320 flights are randomly selected and the number of unoccupied seats is noted for each of the sampled flights. The sample mean is 15.6 seats and the standard deviation is 4.6 seats. Construct a 99% confidence interval for the population mean number of unoccupied seats per flight during the past year. If necessary, round results to 1 decimal places.
The average speed of 64 random cars traveling on a certain highway was 80 km/h and the sample standard deviation was 20 km/h. What is the margin of error with a 98% level of confidence for the population average speed? Select one: а. 1.295 b. 2.387 C. 6.64 d. 3.2375 е. 2.656 f. 5.9675
A financial analyst claims that 19% make all purchases with cash, 17% make most purchases with cash, 20% make half of purchases with cash, 33% make some purchases with cash and 11% make no purchases with cash. You take a random selection to see if you can conclude that the distribution is different than what the financial analyst claims. Use a 1% significance to decide and round to the fourth. Observed Frequency Frequency Expected Categories All Cash 24 Most Cash 85 Half Cash 99 Some Cash 160 No Cash 104 Test Statistic: Degrees of Freedom: p-val: Decision Rule: (Select an answer Did something significant happen? (Select an answer There (Select an answer v) enough evidence to conclude Select an answer
Unoccupied seats on flights cause airlines to lose revenue. As an intern in the finance department for Skyline Airways, Rebecca is tasked with estimating the average number of unoccupied seats per flight over the past year. To accomplish this, the records of 231 flights are randomly selected and the number of unoccupied seats is noted for each of the sampled flights. The sample mean is 14.7 seats and the standard deviation is 3.4 seats.Construct a 90% confidence interval for the population mean number of unoccupied seats per flight during the past year.If necessary, round results to 1 decimal places.
During the month of January 2017, a total of 29,404 flights took off from a particular airport. Of all these flights, 23.9 % had a departure delay of more than 10 minutes. Suppose we randomly sample just 100 of these flights. Complete parts a through d. a. What sample proportion should we expect to see in such a sample, and how much should we expect the proportion to vary from sample to sample in samples of size 100? The mean is (Round to three decimal places as needed.)

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