|||. Demand for patient surgery at Yrow Medical Center has increased steadily in the past few years, as seen in the table below: YEAR 1 2 3 4 5 6 OUTPATIENT SURGERIES PERFORMED 90 100 104 112 116 0 The Director of medical services predicted six years ago that demand in year 1 would be 84 surgeries. Using exponential smoothing with a weight of a = 20%, develop forecasts for 2 through 6. What is the Mean Absolute Deviation (MAD)?

|||. Demand for patient surgery at Yrow Medical Center has increased steadily in the past few years, as seen in the table below: YEAR 1 2 3 4 5 6 OUTPATIENT SURGERIES PERFORMED 90 100 104 112 116 0 The Director of medical services predicted six years ago that demand in year 1 would be 84 surgeries. Using exponential smoothing with a weight of a = 20%, develop forecasts for 2 through 6. What is the Mean Absolute Deviation (MAD)?

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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#1 With complete answer, solution and table
2. Compute the mean absolute deviation (MAD) and mean square error (MSE) for the following errors: Period (t) 12 3 4 6 7 Forecast (F) 6.5 3.8 9.2 1.2 2.3 8.3 6.5 Error (e) -2.3 1.3 -0.9 2.1 0.5 -3.8 2.9 Calculate the actual values also.
Consider the accompanying data on flexural strength (MPa) for concrete beams of a certain type. 7.4 7.7 9.7 8.1 8.7 6.3 7.8 11.6 9.0 7.7 6.8 7.9 11.3 6.8 8.7 5.8 7.3 7.2 7.8 9.7 7.0 11.8 7.1 10.7 6.5 7.0 6.3 (a) Calculate a point estimate of the mean value of strength for the conceptual population of all beams manufactured in this fashion. [Hint: Ex; = 219.7.] (Round your answer to three decimal places.) MPа State which estimator you used. O s/x (b) Calculate a point estimate of the strength value that separates the weakest 50% of all such beams from the strongest 50%. MPа State which estimator you used. s/X O
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2. Compute the mean absolute deviation (MAD) and mean square error (MSE) for the following errors: Period (t) 1 2 3 6 4 5 7 Forecast (F;) 6.5 3.8 9.2 1.2 2.3 8.3 6.5 Error (e,) -2.3 | 1.3 -0.9 | 2.1 0.5 | -3.8 | 2.9 Calculate the actual values also.
A queueing system has an arrival rate of 37 visitors per day (standard deviation of 32) and a service rate of 42 visitors per day (standard deviation of 25). (Round your answer to three decimal places.) What is the coefficient of variation of the arrival rate?
Part C. To reduce the percentage of defective chips the company...
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In the year 2033, Sarai Patterson is a leading traveling nurse. Sarai is interested in reducing the mean recovery time for patients after experiencing a serious injury (assume recovery times are normally distributed). Suppose the mean recovery time is presently 8.6 months. Sarai takes a random sample of 46 patients that have experienced serious injury to participate in a new treatment program and finds the sample mean is 8.1 months and a sample standard deviation of 1.2 months. Using α = 0.05, answer the following questions. a) What is the setup for your null and alternative hypothesis? b) What is the value of the test statistic? c) What is/are the critical value(s)?
#6 6.2
Analysis of annualized returns over a 10-year period showed that prepaid tuition plans had a mean return of 6.3 percent with a standard deviation of 2.7 percent, while the Standard & Poor’s 500 stock index had a mean return of 12.9 percent with a standard deviation of 15.8 percent. (a) Calculate the coefficients of variation of prepaid tuition plans and Standard & Poor’s stock index. (Round your answers to 2 decimal places.)
Omar is conducting market research on the cost of homeowners insurance. Omar has determined that the average annual cost of homeowners insurance is $1220, and that the distribution of costs is normally distributed with a standard deviation of $89. Open an empty Excel file on your computer to show your use of Excel Functions for this Question. Based on the given information above, answer the following problems: (Provide your answer with 4 or more decimal places).If you use more than one step in your calculation, highlight the cell with final answer using yellow color. What is the probability that a single randomly selected consumer spends smaller than $1433 on homeowners insurance? What is the probability that a single randomly selected consumer spends higher than $1200 on homeowners insurance? What is the probability that a single randomly selected consumer spends between $1007 and $1433 on homeowners insurance? What is the 25th percentile for amount of money a single customer…