I began year three with $1‚120.28‚ which was more money than I have ever had in the whole simulation. The first event that took place was the government event. I was very apprehensive because we had just elected a new president‚ Jacob‚ and had new house members‚ so I was unsure how they would feel about the laws that we would try to pass. Jacob also started out his presidency by saying that everyone will be able to have free healthcare‚ even though that is impossible‚ so the government had to figure
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SCIENCE TITRATION SIMULATION ! TRIAL 1:! This reaction was strong acid vs. strong base! ! Known: Acid! Unknown: Base HCl NaOH Volume! 25.00 mL 18.66 mL Molarity 0.1396 M Uknown Name! Indicator ! Methyl Orange! Turned red when mixed with the acid solution.! After adding 18.66 mL of base‚ turned orange. After having added the correct amount of base to the acid solution mixed with indicator‚ we can calculate the concentration of the base solution
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1. The time between arrivals of cars at MRR Service Company is shown in the following probability distribution: Times between Arrivals (Min) Probability 1 0.15 2 0.30 3 0.40 4 0.15 1.00 a) Simulate the arrival of cars at the company for 20 arrivals‚ and compute the average time between arrivals. Random number: 39‚ 73‚ 72‚ 75‚ 37‚ 02‚ 87‚ 98‚ 10‚ 47‚ 93‚ 21‚ 95‚ 97‚ 69‚ 41‚ 91‚ 80‚ 67‚ 59. b) Simulate the arrival of cars at the service station for one hour‚ and compute the average time between
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Littlefield Simulation Write-up December 7‚ 2011 Operations Management 502 Team 9 Littlefield Lab We began our analysis by searching for bottlenecks that existed in the current system. It was easily identified that major issues existed in the ordering process. Without calculations‚ you could tell the reorder point was too low since the historical plots showed inventory levels at zero for two or more days at a time. The number of jobs in customer orders showed correlating spikes at the same
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Annotated Bibliography HCS 465 Health Research Utilization October 7‚ 2012 Reagan Parks‚ MHA Annotated Bibliography Clinical Digest. (2009‚ February 18). Aggression is a predictor of rapid repeat teen pregnancy. Nursing Standard‚ 23(24)‚ [16]. Retrieved from http://web.ebscohost.com.ezproxy.apollolibrary.com/ehost/pdfviewer/pdfviewer?sid=c7406762-80f7-42f7-8025-0c220415798f%40sessionmgr10&vid=6&hid=25# This article provides an interview to those adolescent mothers who had repeat
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The simulation for reproductive health was certainly a learning experience. While practicing with the patient‚ I was able to identify my own strengths and weaknesses. However‚ as the preceptor said‚ simulation is not simply about learning from practicing with the dummies. It is about learning from the other teams. This is certainly true. I learned about what I should do with a real patient as well as what I should not do by watching the other teams. Because it is easy to be critical of oneself‚
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Running Header: BUSINESS REGULATION SIMULATION PAPER Business Regulation Simulation Paper University of Phoenix MBA/560 Enterprise Risk Abstract This paper identifies the key facts‚ regulations and legal issues in the Business Regulation Simulation regarding Alumina‚ a global multibillion company. It identifies several of Alumina ’s values and stakeholders and discusses the conflicts among the competing stakeholders according to the simulation. In addition‚ a summarization on the
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I do not have my own personal HC plan as I am considered a dependent child on my parents’ HC plan. With my parents’ HC plan‚ I am covered with their HC insurance until my 26th birthday. 2. Identify what kind of insurance you have (i.e. traditional insurance or managed HC plan) and who is the healthcare plan provider? The health care provider that I have through my parents is called Anthem Blue Cross and Blue Shield. The specific health care plan under Anthem that my parents own is called Blue
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12. Ratios Inputs RATIOS Items July 1‚ 2005 July 1‚ 2006 June 30‚ 2007 June 30‚ 2008 June 30‚ 2009 June 30‚ 2010 19.1% 3.2% 20.3% 2.6% 17.4% 20.3% 2.9% 18.7% 20.1% 2.9% 19.4% 20.1% 2.9% 18.6% 20.1% 2.8% 16.9% 9.9% 2.2% 8.5% 25.1% 48.5% 10.8% 3.3% 12.3% 36.0% 66.0% 11.3% 3.2% 12.1% 35.4% 62.1% 10.4% 3.7% 13.3% 39.3% 71.5% 9.4% 4.0% 13.4% 38.4% 79.4% 3.78 7.34 13.79 1.23 16.92 13.69 14.11 22.37 3.79
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Simulation Jeneal Clegg 04/02/2013 Jonathan Neville SCI 362 In this simulation we were to review the pros and cons of allowing a foreign pharmaceutical company‚ Colney & Pitts located in California‚ to be able to harvest the rainforests tree’s bark‚ and build a manufacturing plant in the Kenyan highlands‚ to help in finding medication or herbal remedies for patients‚ by using the harvested bark to create synthetic medication. This particular simulation was going to affect the rainforest
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