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![5.6.5 WP An article in Knee Surgery Sports Traumatology,
Arthroscopy ["Effect of Provider Volume on Resource Utilization
for Surgical Procedures" (2005, Vol. 13, pp. 273–279)] showed a
mean time of 129 minutes and a standard deviation of 14 min-
utes for ACL reconstruction surgery for high-volume hospitals
(with more than 300 such surgeries per year). If a high-volume
hospital needs to schedule 10 surgeries, what are the mean and
variance of the total time to complete these surgeries? Assume
that the times of the surgeries are independent and normally
distributed.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1da296ee-2468-43bb-ac80-be0eb8484519%2F76276a8a-4f32-4ae8-9c9b-d35bf6b3025e%2F55tfs8o_processed.jpeg&w=3840&q=75)
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- The accompanying frequency distribution on depositedenergy (mJ) was extracted from the article “ExperimentalAnalysis of Laser-Induced Spark Ignition of LeanTurbulent Premixed Flames” (Combustion and Flame,2013: 1414–1427).1.0− , 2.0 5 2.0− , 2.4 112.4− , 2.6 13 2.6− , 2.8 302.8− , 3.0 46 3.0− , 3.2 663.2− , 3.4 133 3.4− , 3.6 1413.6− , 3.8 126 3.8− , 4.0 924.0− , 4.2 73 4.2− , 4.4 384.4− , 4.6 19 4.6− , 5.0 11a. What proportion of these ignition trials resulted in adeposited energy of less than 3 mJ?b. What proportion of these ignition trials resulted in adeposited energy of at least 4 mJ?c. Roughly what proportion of the trials resulted in adeposited energy of at least 3.5 mJ?d. Construct a histogram and comment on its shape.The authors of the article “Predictive Model for PittingCorrosion in Buried Oil and Gas Pipelines”(Corrosion, 2009: 332–342) provided the data on whichtheir investigation was based.a. Consider the following sample of 61 observations onmaximum pitting depth (mm) of pipeline specimensburied in clay loam soil. 0.41 0.41 0.41 0.41 0.43 0.43 0.43 0.48 0.480.58 0.79 0.79 0.81 0.81 0.81 0.91 0.94 0.941.02 1.04 1.04 1.17 1.17 1.17 1.17 1.17 1.171.17 1.19 1.19 1.27 1.40 1.40 1.59 1.59 1.601.68 1.91 1.96 1.96 1.96 2.10 2.21 2.31 2.462.49 2.57 2.74 3.10 3.18 3.30 3.58 3.58 4.154.75 5.33 7.65 7.70 8.13 10.41 13.44Construct a stem-and-leaf display in which the twolargest values are shown in a last row labeled HI.b. Refer back to (a), and create a histogram based oneight classes with 0 as the lower limit of the firstclass and class widths of .5, .5, .5, .5, 1, 2, 5, and 5,respectively.c. The accompanying comparative boxplot fromMinitab shows plots of pitting depth for four differenttypes of soils.…Do types of crimes reported on television newscasts differ by the age of the criminals? A researcher uses her dvr to record the local television news for a 2-week period of time. She records the types of crimes and notes the age of the offender. Conduct a chi-square test (alpha = .05) of the null hypothesis that televised offense type does not vary by age group of offender. Offense type Young middle age older violent 27 10 3 property 14 12 11 sex 7 9 5 Report the obtained chi-square, df, and critical chi-square. Report your findings based on the null hypothesis.
- The article “Dynamics of Insulin Action in Hypertension: Assessment from Minimal ModelInterpretation of Intravenous Glucose Tolerance Test Data” (R. Burattini, M. Morettini, etal., Med Biol Eng Comput, 2011:831–841) compared levels of an insulin sensitivity index SIin patients with high blood pressure and patients with normal blood pressure. Ten patientswith high blood pressure had a mean value of 3.4 with a standard deviation of 0.6, and eightpatients with normal blood pressure had a mean value of 7.9 with a standard deviation of0.6. Units are 10−5 · min−1 · pmol−1. Find a 98% confidence interval for the difference inmean levels between those with high blood pressure and those with normal blood pressure.To test whether or not there is a significant difference in the average snowfall in Maryland, and Virginia, the average snowfall in the two states during a random sample of 92 days during a leap year were recorded. In Maryland, the average is 5.4 inches with a standard deviation of 0.4 inches and in Virginia, the average is 5.2 inches with a standard deviation of 0.4 inches. Test the hypothesis at a 10% level of significance. Use the F-test to solve the Behrens Fisher problem, use Welsh's approximation, the Wilson Hilferty approximation. Use the p-value method. View keyboard shortcutsIn a study examining overweight and obese college football players, Mathews and Wagner(2008) found that on average both offensive and defensive linemen exceeded the at-risk criterionfor body mass index (BMI). BMI is a ratio of body weight to height squared and is commonlyused to classify people as overweight or obese. Any value greater than 30 kg/m2 is considered tobe at risk. In the study, a sample of n = 17 offensive linemen averaged M = 34.4 with a standarddeviation of s = 4.0. A sample of n = 19 defensive linemen averaged M = 31.9 with s = 3.5a. Use a single-sample t test to determine whether the offensive linemen are significantly abovethe at-risk criterion for BMI. Use a one-tailed test with α = .01.b. Use a single-sample t test to determine whether the defensive linemen are significantly abovethe at-risk criterion for BMI. Use a one-tailed test with α = .01.c. Use an independent-measures t test to determine whether there is a significant differencebetween the offensive linemen…
- The following SPSS output examines the percent of security staff that is female at private and public prisons. Based on the output answer the question below. The assumption of homogeneity of variance is met. True FalseA suburban hotel derives its revenue from its hotel and restaurant operations. Theowners are interested in the relationship between the number of rooms occupied on anightly basis and the revenue per day in the restaurant. Below is a sample of 25 days(Monday through Thursday) from last year showing the restaurant income and numberof rooms occupied.Samples of head breadths were obtained by measuring skulls of Egyptian males from three different epochs, and the measurements are listed below. Changes in head shape over time suggest that interbreeding occurred with immigrant populations. Use a 0.05 significance level to test the claim that the different epochs have the same mean. 4000 BC: 131 138 125 129 132 135 132 134 138 1850 BC: 129 134 136 137 137 129 136 138 134 150 AD: 128 138 136 139 141 142 137 145 137 a. Define the parameter(s) A. mu equals The mean head breadth of Egyptian males B. mu equals The mean change in head shape C. mu 1 equals The mean head breadth from 4000 BC mu 2 equals The mean head breadth from 1850 BC mu 3 equals The mean head breadth from 150 AD D. p 1 equals The mean head breadth from 4000 BC p 2 equals The mean head breadth from 1850 BC p 3 equals The mean head breadth from 150 AD b. State Upper…
