03The postmaster of a small town receives a certain number of complaints each day about maildelivery. Construct a control chart to describe 98.5% of the variation in the following dataand determine whether the process is in control:DAY123456 7 891011125a101489.65128764 Quality Control QuestionsQ4A medical facility does MRIS for sports injuries. Occasionally a test yields inconclusiveresults and must be repeated. Using the following sample data and n = 38, to construct acontrol chart that will describe 95% percent of the chance variation in the process when theprocess is in control. Is the process in control? If not, eliminate any values that are outside thelimits and compute revised limits.SAMPLE6 7 8121112345910131b2212273212.

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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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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…
A real estate agency, located in a metropolitan area in the northeastern U.S., kept data on the various types of properties purchased in the area. Historically, 15% of purchases were for condominiums, 30% were for townhouses, 40% for single family homes, 10% for commercial properties and 5% for land. With changing demographics, the agency wondered if the current distribution matches the historical distribution. Recent data showed the following: Type of Property Condos Townhouses Homes Commercial Land Frequency 89 121 78 25 12 Based on the historical distribution, we would expect how many homes to be purchased? Question content area bottom Part 1 A. 130 B. 121 C. 129.95 D. 122.54 E. 100
Are cigarettes bad for people? Cigarette smoking involves tar, carbon monoxide, and nicotine (measured in milligrams). The first two are definitely not good for a person's health, and the last ingredient can cause addiction. Use the data in the table above to make a stem-and-leaf display for milligrams of tar per cigarette smoked. (Enter NONE in any unused answer blanks.) Are there any outliers? A. Yes, 1.0 may be an outlier. B. No, there are no outliers. C. Yes, 29.8 may be an outlier.
Consider the following data. −1,2,2,−4,−4,−1−1,2,2,−4,−4,−1 Determine the mean of the given data.
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 77 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+ 20+ 15+ 10+ 5- ← 10 20 30 40 50 60 70 80 90 100 City A mean: 73.96 thousand dollars City A standard deviation: 20.30 thousand dollars Explanation 25- 20- 15- 104 5+ 10 (a) Identify the data set for which it is appropriate to use the Empirical Rule. It is appropriate to use the Empirical Rule for the (Choose one) ▼ data set. 20 30 The committee wants to use the Empirical Rule to make some…
Consider the following data representing the price of plasma televisions (in dollars). 1260, 1355, 1156, 1297, 1054, 1225, 1375, 1244, 1281, 1138, 1368, 1075, 1373, 1126, 1067, 1285, 1119, 1209, 1150, 1208, 1284 Class 1034-1093 1094-1153 1154-1213 1214-1273 1274-1333 1334-1393 Frequency Price of Plasma Televisions (in Dollars) Class Boundaries Midpoint Relative Frequency Copy Data Cumulative Frequency Step 6 of 7: Calculate the relative frequency of the third class. Determine your answer as a simplified fraction.
A factory owner has taken a sample (n = 20) of workers to see how many broken widgets each employee produces per day. For the following data, construct a frequency distribution table. Include columns for observed value (Xcat), frequency, proportion, and percent. 2 1 0 2 1 0 7 3 8 0 1 5 0 0 9 2 0 1 3 0
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Consider the following data set: 38 24 32 18 25 Find the 36th percentile for this data. 36th percentile =
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03 The postmaster of a small town receives a certain number of complaints each day about mail delivery. Construct a control chart to describe 98.5% of the variation in the following data and determine whether the process is in control: DAY 1 2 3 4 5 6 7 8 9 10 11 12 5a 10 14 8 9 5 12 8 7 6 4