Tuesday, December 31, 2019

The Deaths Of Women During Ciudad Juarez - 2788 Words

In general those who live in Ciudad Juarez know about the recurring murders over the past decade involving women. Despite of that there are still millions that are oblivious to this occurring or choose to ignore it. It also gets less talked about comparing to other issues occurring around the world. Those who choose to talk about the subject eventually give up because they saw no immediate results or any progress at all. As stated before some chose to ignore the issue because they felt it was the easy way out and had fear of their own lives as well. Especially, the residents of Ciudad Juarez were in fear to speak of it because they felt they would put their lives endangered. However, to truly understand the severity and seriousness of this subject like many other issues you need to have some idea of how and why it started and the history or facts surrounding the issue. That is why the main focus is finding the factors that may have contributed to the recurring murders of women in Ciu dad Juarez. Moreover, the effects of the murders on the victim families, the public in general, and the city. Also finding if there were any motives behind the murders of the women. Lastly, finding if there are any solutions for the murders to come to an end, any way to deter people from doing it, and has there been something done in the past decade to tackle the murders from happening again. There has been debates and deliberations on how and when the series murders of women began, butShow MoreRelatedFeminicide, Gender Violence Against Women5270 Words   |  22 PagesLAS Disposables Ciudad Juà ¡rez March 13, 2015†© Femicide and Structural Violence against Women in By: Craig Serpa LAS DISPOSABLES PAGE 1 ! Introduction Much research has been produced attempting to describe and subvert femicide in Ciudad Juà ¡rez, but perhaps the most accurate description of the gendered violence can be found in an American political cartoon. A maquiladora, or Mexican border assembly/ processing plant, stands alone among rolling hills littered with gravestones inRead MoreFemicide3013 Words   |  13 PagesPatriarchy is present in virtually every society and unfortunately is the underlying problem to most violence in the world, particularly violence towards women. Patriarchy exemplifies the misogyny that has been ever-present since probably the beginning of every society. Whether it is discrimination towards women, lack of equal rights, or violence towards women, violence that stems almost entirely from patriarchal dominance is seen throughout most human societies past and present. Violence and fear have beenRead MoreThe Basics Of Mediation Between An Addict And A Victim Of Abuse1303 Words   |  6 Pagesagainst w hat news producers believed to be more important media topics. During my undergraduate studies, I directed my focus to the journalism world hoping to connect with my community through their television addiction. It was a morbid time to work for a Spanish television station in the El Paso-Ciudad Juà ¡rez region. As an incoming news assistant, I was directed to censor all incoming video shared by our partner station in Ciudad Juà ¡rez, Televisa. This was a very difficult task as months prior I had lostRead MoreMexican Trafficking And Drug Trafficking1341 Words   |  6 PagesAccording to 2013 statistics Ciudad Juarez has one of the world’s deadliest cities with more than 3,000 murders in 2010. While the killings in Ciudad Juarez drew international attention, violence against women remained a widespread phenomenon throughout the country. Special Prosecutor Perez Duarte reported that on an annual basis approximately 1,600 women were killed nationwide, mostly resulting from domestic violence. According to 2004 statistics, the rate of wome n homicide victims over age 15Read MoreMexican Drug Cartels: Problem of the Past or Indication of the Future?1688 Words   |  7 PagesGrayson, the murder rate has more than tripled from 732 in 2006 to 2,648 in 2008, in Chihuahua, Baja California, Sonora, Coahuila, Nuevo Leon, and Tamaulipas. A particular horror spot is Chihuahua’s largest city Ciudad Juarez, especially for young women. Tijuana competes with Ciudad Juarez as Mexico’s most dangerous city. Thus, Calderon’s administration is focusing on restoring safety to the border states. As well, almost as alarming as the violent killings are the abductions, which have ascendedRead MoreFemicide: A Cause for Global Economic Concern?2937 Words   |  12 PagesFemicide: A Cause for Global Economic Concern? The definition of femicide is the killing of women and girls because of their gender; it may include methods of torture, mutilation, cruelty and sexual violence. Due to deep cultural traditions and premonitions, many nations- particularly third world countries- are facing a future where the sighting of a female in the community will be a rarity. In the past femicide has been closely associated with the ongoing gender based foeticide in India and China;Read MoreEssay about A Personal Trip to Mexico and The Mexican Revolution2895 Words   |  12 Pagesbecome involved in government affairs such as voting. It is eight in the morning. It’s a clear winter morning in Ciudad Juarez. There is not a single strip of smog running across the Mexican sky. In the distance, you can see El Paso, Texas and the never-ending Texas desert horizon from my hotel window. On the contrary side of the hotel room, is a beautiful vista point of Ciudad Juarez. A couple floors down the escalator, through the lobby, and out of the two front entrance doors of the hotel, youRead MoreDrug Cartels in Mexico Essay2834 Words   |  12 Pagesdrug cartels in Mexico (CRS 1). The most important cartels are Sinaloa and Juarez. The Sinaloa cartel operates in the states of Nayarit, Sinaloa and Mexico State (Reforma 1). The Juarez cartel operates in Sinaloa, Nuevo Leà ³n, Chihuahua, Jalisco, Morelos; and Quintana Roo. Mexican cartels employ individuals and groups of enforcers, known as sicarios. Statistics show that more than twenty people are killed daily in Ciudad Juarez, Chihuahua in crimes related to drugs. Drug l ords send their gunmen to strategicRead More The Role of Mexican-American Border Relations in the Political Process3339 Words   |  14 Pagessupporters of Proposition 187 racists. The economic concerns of the California residents were that the illegal immigrants were taking too many of the state’s resources in a time where resources weren’t plentiful. One economic anxiety of the residents during this time focused on the destruction of their communities from the crimes committed by illegal immigrants. Many residents, especially those in the San Diego area, attribute vandalization and robbery in their communities to illegal immigrants (Natives:Read MoreGregory Nav A Mexican Filmmaker Who Was Born Essay1814 Words   |  8 Pagesbeliefs comes to take the lives of those who fall in the river, when Chucho and his mother fall into the river while attempting to return to the U.S. This belief is significant because when Chucho dies as a young adult, the family is able to accept his death and attribute it to the river spirit coming who took what should have been his years ago. On the other hand, in El Norte, Nava uses elements to suggest spiral time, r epetition of time, and the influence of Mayan concepts of cyclical time and legends

Sunday, December 22, 2019

BILL PROPOSAL - 1062 Words

Bill Proposal Nur 550 April 4th, 2011 Bill Proposal To Senator Carolyn Allen, A Bill for An Act Entitled: Improved Continuity of Care Law for People with Co-occurring disorders In the Arizonan House of Representative A severe mental illness (SMI) is an assembly of mainly psychotic conditions that are, by description, extensive and related to compromised societal functioning. As stated by the surgeon general’s report of 2010, one out of five adults, or nearly 40 million Americans, suffer from some type of psychological disorder annually. In addition, about five percent of the U.S population suffers from chronic mental disorder for instance, bipolar, major depressive disorders, schizophrenia and†¦show more content†¦References Fulop, O.,Drake, R., Essock, S., Shaner, A., Carey, K., Minkoff, K., Kola, L., Lynde, D., Clark, R. Rickards, L. (2010).Implementing Dual Diagnosis Services for Clients with Severe Mental Illness. Psychiatric Services, 52 (4), 469-476 United States Department of Justice Statistics (2013). Correctional Populations in the United States. NCJ-163916. U.S. Department of Health and Human Services (2007). Mental Health: A Report of the Surgeon General. Washington, DC U.S. Department of Health and Human Services (2011).Mental Health: Culture, Race, and Ethnicity-A Supplement to Mental Health: A Report of the Surgeon General. Combination of health and migrant laws amendments in the state.Health and migration laws have been long standing in us politics,its an ongoing process and batlle. TheUnited States is in the midst of a heated debate on immigration policy, and a renewed debate on health care reformhas also begun in anticipation of the 2008 presidential election. Both of these debates present an important opportunity toShow MoreRelatedBill Is A Proposal For A New Law1138 Words   |  5 PagesMost new laws passed by Parliament result from proposals made by the government. 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INSTRUCTION TO BIDDERS | 4 | | 1.1 General Description of Work | 4 | | 1.2 What Must Included in the Bid | 4 | | 1.3 Schedule of Bid period Activities | 5 | | 1.4 Location of the Work | 6 | | 1.5 Pre-Bid Meeting | 7 | | 1.6 Owner Contact for Question | 7 | | 1Read MoreThe Implementation Of Moving Freshman Students1560 Words   |  7 Pagesperformance evaluations based on results and actions. Are Your Parents an Obstacle to Change? N 1. Are your parents pleased with the school? For the most part when it comes to education, the students are responsible for grades, tuition, bills, etc. FERPA for the most part keeps others out only on a need to know basis. N 2. Will the proposed change have little or no direct effect on the parents or their children? It would have a direct effect on the students because it would allow

Saturday, December 14, 2019

Montecarlo Simulation Free Essays

string(115) " random number generator functions as inputs for your model, automates Monte Carlo simulation, and creates charts\." RiskSim is a Monte Carlo Simulation add-in for Microsoft Excel 2000–2010 (Windows) and Microsoft Excel 2004 (Macintosh). RiskSim provides random number generator functions as inputs for your model, automates Monte Carlo simulation, and creates charts. You read "Montecarlo Simulation" in category "Papers" Your spreadsheet model may include various uncontrollable uncertainties as input assumptions (e. We will write a custom essay sample on Montecarlo Simulation or any similar topic only for you Order Now g. , demand for a new product, uncertain variable cost of production, competitor reaction), and you can use simulation to determine the uncertainty associated with the model’s output (e. g. , annual profit).RiskSim automates the simulation by trying hundreds of what-ifs consistent with your assessment of the uncertainties. To use RiskSim, you (1) (2) (3) (4) (5) (6) create a spreadsheet model optionally use SensIt to identify critical inputs enter one of RiskSim’s fourteen random number generator functions in each input cell of your model in Excel 2007 or 2010, choose Add-Ins | Risk Simulation | One Output; in Excel 2003 and earlier versions, choose Tools | Risk Simulation | One Output from Excel’s menu specify the model output cell and the number of what-if trials interpret RiskSim’s histogram and cumulative distribution charts.RiskSim facilitates Monte Carlo simulation by providing: Fourteen random number generator functions Ability to set the seed for random number generation Automatic repeated sampling for simulation Frequency distribution of simulation results Histogram and cumulative distribution charts All of RiskSim’s functionality, including its built-in help, is a part of the RiskSim XLA file. There is no separate setup file or help file.When you use RiskSim on a Windows computer, it does not create any Windows Registry entries (although Excel may use such entries to keep track of its addins). 98 Chapter 10 Monte Carlo Simulation Using RiskSim 10. 2 USING RISKSIM FUNCTIONS RiskSim adds fourteen random number generator functions to Excel. You can use these functions as inputs to your model by typing in a worksheet cell or by using the Function Wizard. From the Insert menu choose Function, or click the Function Wizard button. RiskSim’s functions are listed in a User Defined category.The fourteen functions are: RANDBINOMIAL(trials,probability_s) RANDBIVARNORMAL(mean1,stdev1,mean2,stdev2,correl12) RANDCUMULATIVE( value_cumulative_table) RANDDISCRETE(value_discrete_table) RANDEXPONENTIAL(lambda) RANDINTEGER(bottom,top) RANDLOGNORMAL(Mean,StDev) RANDNORMAL(mean,standard_dev) RANDPOISSON(mean) RANDSAMPLE(population) RANDTRIANGULAR(minimum,most_likely,maximum) RANDTRUNCBIVARNORMAL(mean1,stdev1,mean2,stdev2,correl12, min1,max1,min2,max2) RANDTRUNCNORMAL(Mean,StDev,MinValue,MaxValue)) RANDUNIFORM(minimum,maximum) RiskSim’s RAND†¦ functions include extensive error checking of arguments.After verifying that the functions are working properly, you may want to substitute RiskSim’s FAST†¦ functions which have minimal error checking and therefore run faster. From the Edit menu choose Replace; in the Replace dialog box, type =RAND in the â€Å"Find What† edit box, type =FAST in the â€Å"Replace with† edit box, and click the Replace All button. 10. 3 UPDATING LINKS TO RISKSIM FUNCTIONS When you insert a RiskSim random number generator function in a worksheet cell, th e function is linked to the disk location of the RiskSim XLA file you are currently using.During the current Excel session, the formula bar shows only the name of the RiskSim function. But when you save and close the workbook, Excel saves the complete path to the disk location of RiskSim function. For example, after closing and reopening the workbook, the formula bar might show C:MyAddIns isk240s. xlaRandNormal(100, 10). This is standard behavior for Excel user defined functions like the ones contained in the RiskSim XLA file. When you open the workbook, Excel looks for the RiskSim XLA file using the saved path. If Excel cannot find the RiskSim XLA file at the saved path location (e. . , if you deleted the RiskSim XLA file from the C:MyAddIns folder or if you opened the workbook on another 10. 3 Updating Links To RiskSim Functions 99 computer where the RiskSim XLA file is not located at the same path), Excel displays a dialog box like the one shown below. Figure 10. 1 Excel 2003 Warning To Update Links If you see this dialog box or a similar warning when you open an Excel file, choose the â€Å"Don’t Update† option. The workbook will be opened, but any cell containing a reference to a RiskSim function will display the #NAME? or similar error code.To update the links after the workbook is open, be sure that a RiskSim XLA file is open. Then choose Edit | L inks to see the dialog box shown below. In Excel 2007 or 2010, if you open a workbook with RiskSim functions referring to a RiskSim file location that no longer exists, you may see a warning. In Excel 2007, if you click the Options button of the security warning, you can click OK in the Security Options dialog box to dismiss the warning. Before you update the links, be sure that the RiskSim XLA file is open. In Excel 2007, choose Office Button | Prepare | Edit Links to Files to see the dialog box shown below.In Excel 2010, choose File | Info | Edit Links to Files to see the Edit Links dialog box. Figure 10. 2 Edit Links Dialog Box To update the links, click the Change Source button. A file browser window will open, where you can navigate to the RiskSim XLA file that is open. After you select the file using the file browser, click OK. Back in the Edit Links dialog box, click the Close button. 100 Chapter 10 Monte Carlo Simulation Using RiskSim In Excel 2003 the Edit Links dialog box has a Startup Prompt button. To avoid possible problems when Excel tries to automatically update links while a ile is being opened, we recommend the default â€Å"Let users choose to display the alert or not. † Figure 10. 3 Excel 2003 Startup Prompt Dialog Box 10. 4 MONTE CARLO SIMULATION After specifying random number generator functions as inputs to your model, from the Tools choose Risk Simulation | One Output. Figure 10. 4 RiskSim Dialog Box Optionally, select the â€Å"Output Label Cell† edit box, and point or type a reference to a cell containing the name of the model output (for example, a cell whose contents is the text label â€Å"Net Profit†). Select the â€Å"Output Formula Cell† edit box, and point to a single cell on your worksheet or type a cell reference.The output cell of your model must contain a formula that depends, usually indirectly, on the model inputs determined by the random number generator functions. Leave the Random Number Seed unchanged, or select the â€Å"Random Number Seed† edit box, and type a number between 1 and 2,147,483,647. Use an integer value without commas or other separators. Select the â€Å"Number Of Trials† edit box, and type an integer value between 2 and 32,000. This value, sometimes called the sample size or number of iterations, specifies the number of times the worksheet will be recalculated to determine output values of your model. 0. 5 Random Number Seed 101 10. 5 RANDOM NUMBER SEED The â€Å"Random Number Seed† edit box on the RiskSim dialog box allows you to set the seed for RiskSim’s random number generator functions. The seed must be an integer in the range 1 through 2,147,483,647. RiskSim’s random number generator functions depend on RiskSim’s own uniform random number function that is completely independent of Excel’s built-in RAND(). Random numbers generated by the computer are actually pseudo-random. The numbers appear to be r andom, and they pass various statistical tests for randomness.But they are actually calculated by an algorithm where each random number depends on the previous random number. Such an algorithm generates a repeatable sequence. The seed specifies where the algorithm starts in the sequence. A Monte Carlo simulation model usually has uncontrollable inputs (uncertain quantities using random number generator functions), controllable inputs (decision variables that have fixed values for a particular set of simulation iterations), and an output variable (a performance measure or operating characteristic of the system).For example, a simple queuing system model may have an uncertain arrival pattern, a controllable number of servers, and total cost (waiting time plus server cost) as output. To evaluate a different number of servers, you would specify the same seed before generating the uncertain arrivals. Then the variation in total cost should depend on the different number of servers, not o n the particular sequence of random numbers that generates the arrivals. 10. 6 ONE-OUTPUT EXAMPLE In this example the decision maker has described his subjective uncertainty using normal, triangular, and discrete probability distributions.Figure 10. 5 One-Output Example Model Display 1 2 3 4 5 6 7 8 9 A B Software Decision Analysis Unit Price Units Sold Unit Variable Cost Fixed Costs Net Cash Flow $29 739 $8. 05 $12,000 $3,485 C D E F G H Price is controllable and constant. Normal Mean = 700, StDev = 100 Triangular Min = $6, Mode = $8, Max = $11 Discrete Value Probability $10,000 0. 25 $12,000 0. 50 $15,000 0. 25 Figure 10. 6 One-Output Example Model Formulas 1 2 3 4 5 6 7 8 A Software Decision Analysis Unit Price Units Sold Unit Variable Cost Fixed Costs Net Cash Flow B 29 =INT(RANDNORMAL(700,100)) =RANDTRIANGULAR(6,8,11) =RANDDISCRETE(E7:F9) =B4*(B3-B5)-B6 102 Chapter 10 Monte Carlo Simulation Using RiskSim Figure 10. 7 RiskSim Dialog Box for One-Output Example 10. 7 RISKSIM OUTPU T FOR ONE-OUTPUT EXAMPLE When you click the Simulate button, RiskSim creates a new worksheet in your Excel workbook named â€Å"RiskSim Summary 1. † A summary of your inputs and the output is shown in cells L1:R9 with the accompanying histogram and cumulative distribution charts. 10. 7 RiskSim Output for One-Output Example 103 Figure 10. RiskSim Summary Output for One-Output Example 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 L RiskSim Date Time Workbook Worksheet Output Cell Output Label Seed Trials M (current date) (current time) (file name) Simulation Model for One Output $B$8 Net Cash Flow 9999 1000 RiskSim  ? Histogram 80 70 60 N O P Q Mean St. Dev. Mean St. Error Minimum First Quartile Median Third Quartile Maximum Skewness R $2,207 $2,816 $89 -$5,917 $184 $2,281 $4,148 $11,291 0. 0409 Frequency 50 40 30 20 10 0 ? 6,000 ? $4,000 ? $2,000 $0 $2,000 $4,000 $6,000 $8,000 $10,000 $12,0 00 Net  Cash  Flow RiskSim  ? Cumulative  Chart 1. 0 0. 9 Cumulative  Probability 0. 8 0. 7 0. 6 0. 5 0. 4 0. 3 0. 2 0. 1 0. 0 ? $6,000 ? $4,000 ? $2,000 $0 $2,000 $4,000 $6,000 $8,000 $10,000 $12,000 Net  Cash  Flow The histogram is based on the frequency distribution in columns I:J. The cumulative distribution is based on the sorted output values in column C and the cumulative probabilities in column D. 104 Chapter 10 Monte Carlo Simulation Using RiskSim Figure 10. 9 RiskSim Numerical Output for One-Output ExampleA 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 B Trial Net Cash Flow 1 $2,815 2 -$1,381 3 -$496 4 -$866 5 $5,795 6 -$3,320 7 $3,295 8 $8,360 9 -$2,157 10 $4,313 11 -$1,375 12 $2,198 13 -$744 14 $3,104 15 -$2,814 16 $4,165 17 -$2,575 18 $2,643 19 -$3,676 20 $2,186 21 -$3,492 22 -$847 23 $3,335 24 $4,641 25 $4,814 26 $536 27 -$909 28 $4,477 29 -$597 30 $4,018 31 $3,012 32 $4,590 33 $174 34 $3,257 3 5 $6,952 36 $6,252 37 $4,017 38 $5,386 C D Sorted Cumulative -$5,917 0. 0005 -$5,860 0. 0015 -$5,422 0. 025 -$4,702 0. 0035 -$4,646 0. 0045 -$4,601 0. 0055 -$4,513 0. 0065 -$4,439 0. 0075 -$4,057 0. 0085 -$4,037 0. 0095 -$4,027 0. 0105 -$3,884 0. 0115 -$3,846 0. 0125 -$3,715 0. 0135 -$3,684 0. 0145 -$3,676 0. 0155 -$3,561 0. 0165 -$3,525 0. 0175 -$3,492 0. 0185 -$3,468 0. 0195 -$3,320 0. 0205 -$3,285 0. 0215 -$3,250 0. 0225 -$3,178 0. 0235 -$3,118 0. 0245 -$3,104 0. 0255 -$3,071 0. 0265 -$3,065 0. 0275 -$3,054 0. 0285 -$2,960 0. 0295 -$2,957 0. 0305 -$2,830 0. 0315 -$2,820 0. 0325 -$2,814 0. 0335 -$2,795 0. 0345 -$2,671 0. 0355 -$2,654 0. 0365 -$2,638 0. 375 E F Percent 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100% G Percentile -$5,917 -$2,459 -$1,405 -$809 -$196 $184 $694 $1,032 $1,442 $1,835 $2,281 $2,634 $2,972 $3,324 $3,737 $4,148 $4,617 $5,142 $5,673 $6,736 $11,291 H I J Upper Limit Frequency -$6,000 0 -$5,500 2 -$5,000 1 -$4,500 4 -$4,000 4 -$3,500 7 -$3,000 11 -$2,500 19 -$2,000 23 -$1,500 26 -$1,000 35 -$500 39 $0 62 $500 47 $1,000 65 $1,500 59 $2,000 64 $2,500 63 $3,000 75 $3,500 65 $4,000 57 $4,500 58 $5,000 49 $5,500 51 $6,000 30 $6,500 22 $7,000 18 $7,500 15 $8,000 7 $8,500 7 $9,000 7 $9,500 2 $10,000 4 $10,500 0 $11,000 1 $11,500 1 $12,000 0In column D, the cumulative probabilities start at 1/(2*N), where N is the number of trials, and increase by 1/N. The rationale is that the lowest ranked output value of the sampled values is an estimate of the population’s values in the range from 0 to 1/N, and the lowest ranked value is associated with the median of that range. Column B contains the original sampled output values. Columns F:G show percentiles based on Excel’s PERCENTILE worksheet function. Refer to Excel’s online help for the interpolation method used by the PERCENTILE function.The summary measures in columns Q:R are also based on Excel worksheet functions: AVERAGE, STDEV, QUARTILE, an d SKEW. 10. 8 CUSTOMIZING RISKSIM CHARTS If the labels on the horizontal axis are numbers with many digits, some of the labels may wrap around so that some of the digits display below the others. One way to remedy this anomaly is to 10. 8 Customizing RiskSim Charts 105 widen the chart (click just inside the outer border of the chart so that eight chart handles are shown and then drag the middle chart handle on the left or right to widen the chart).Another way is to select the horizontal axis (click between the labels on the horizontal axis so that â€Å"Value (X) axis† appears in the name box in the upper left of Excel) and change to a smaller font size using the Font Size drop-down edit box on the the Formatting tool bar. The histogram chart is a combination chart using a column chart type for the vertical bars and an XY (Scatter) chart type for the horizontal axis. The two chart types align properly as long as the horizontal axis retains the same minimum and maximum values. For example, if you want more spacing between the dollar labels on the horizontal axis, select the horizontal axis (so that â€Å"Value (X) axis† appears in the name box in the upper left of Excel), choose Format | Selected Axis | Scale, and change the â€Å"Major unit† from 1000 to 2000. In Excel 2007 or 2010, select the axis, right-click, and choose Format Axis | Axis Options. Do not change the Minimum = –6000 or the Maximum = 12000. The histogram appears as shown below. Figure 10. 0 Original Histogram With Modified Horizontal Axis Major Unit RiskSim  ? Histogram 80 70 60 Frequency 50 40 30 20 10 0 ? $6,000 ? $4,000 ? $2,000 $0 $2,000 $4,000 $6,000 $8,000 $10,000 $12,000 Net  Cash  Flow The cumulative chart is a standard XY (Scatter) chart type, so you can change the major unit as described above, but you can also change the minimum and maximum without affecting the integrity of the chart. Another way to obtain more spacing on the horizontal axis of the histogram or cumulative chart is to use a custom format.For example, if you want to show values in thousands instead of the original units, select the horizontal axis (click between the labels on the horizontal axis so that â€Å"Value (X) axis† appears in the name box in the upper left of Excel), choose Format | Selected Axis | Number | Custom, and enter a comma at the end of the current format shown in the â€Å"Type:† edit box. In Excel 2007 or 2010, right-click the horizontal axis, choose Format Axis | Number, change the Format Code, and click the Add button. After changing the original format â€Å"$#,##0† to â€Å"$#,##0,† and modifying the horizontal axis title, the cumulative chart appears as shown below. 06 Chapter 10 Monte Carlo Simulation Using RiskSim Figure 10. 11 Original Cumulative Chart With Horizontal Axis Custom Format RiskSim  ? Cumulative  Chart 1. 0 0. 9 Cumulative  Probability 0. 8 0. 7 0. 6 0. 5 0. 4 0. 3 0. 2 0. 1 0. 0 ? $6 ? $4 ? $2 $0 $2 $4 $6 $8 $10 $12 Net  Cash  Flow,   in  thousands  of  dollars 10. 9 RANDOM NUMBER GENERATOR FUNCTIONS RandBinomial Returns a random value from a binomial distribution. The binomial distribution can model a process with a fixed number of trials where the outcome of each trial is a success or failure, the trials are independent, and the probability of success is constant.RANDBINOMIAL counts the total number of successes for the specified number of trials. If n is the number of trials, the possible values for RANDBINOMIAL are the non-negative integers 0,1,†¦ ,n. RANDBINOMIAL Syntax: RANDBINOMIAL(trials,probability_s) Trials (often denoted n) is the number of independent trials. Probability_s (often denoted p) is the probability of success on each trial. RANDBINOMIAL Remarks Returns #N/A if there are too few or too many arguments. Returns #NAME! if an argument is text and the name is undefined. Returns #NUM! if trials is non-integer or less than one, or probability_s is less than zero or more than one.Returns #VALUE! if an argument is a defined name of a cell and the cell is blank or contains text. RANDBINOMIAL Example A salesperson makes ten unsolicited calls per day, where the probability of making a sale on each call is 70 percent. The uncertain total number of sales in one day is =RANDBINOMIAL(10,0. 7) 10. 9 Random Number Generator Functions 107 Figure 10. 12 RandBinomial Example Probability Mass Function Probability, P(X=x) 0. 30 0. 20 0. 10 0. 00 0 1 2 3 4 5 6 7 8 9 10 Total Numbe r of Sa le s in 10 Ca lls, x Figure 10. 13 RandBinomial Example Cumulative Probability Function 1. 0 0. 9 Cumulative Probability, P(X How to cite Montecarlo Simulation, Papers

Friday, December 6, 2019

Knowledge Experience Well Influencing Power -Myassignmenthelp.Com

Question: Discuss About The Knowledge Experience Well Influencing Power? Answer: Introducation In the case of Vrisakis v Australian Securities Commission [1993] 9 WAR 395 the question before the court was to determine whether the director involved in relation to the operations of the company has been able to live up to the expectations which is imposed on the directors while they discharge. When this case had been decided the Corporation Act 2001 (Cth) has not been in enacted therefore statutory duties in relation to which a director must function with respect to an organisation was not applicable. However in this case the duty which the directors needed to comply with and which the court has to analyse was the mirror image of the duty provided in section 180(1) of the act. This duty was in relation to the observance of a degree of due care and diligence while operating on behalf of the company. In this case it had been provided by the court that the direction and management of the organisation consists of making decisions and working upon actions which may bring much promise on one hand however on the same time they are fraught with risk on the other hand. This system is inherent in the life cycle of Commerce and industry. In this case a non executive director was assumed to have significant responsibilities in relation to the operations of the company. This is because he had significant experience in commercial matters along with the specialised knowledge ability and skill which is required to manipulate or influence the company's affairs which have been conducted previously in a way which can be considered as totally inappropriate. The director in this case was expected to take into account or more intense analysis and evaluation in relation to the affairs of the company. In this context Ipp J had held at the director has to be excused from any form of liability as if it is not done it would be discouragement towards the expected entrepreneurship from non executive directors like him. In addition it has been stated by him that the process of balancing foreseeable risk in relation to harm which may arise against the potential benefits which may have been expected reasonably to arise in relation to the organisation from the conduct of the directors in this case. In addition in this case both Malcolm CJ and Ipp J had agreed upon the fact that Where are non executive director holds considerable knowledge and experience as well as influencing power, while analysing his actions they need to be compared to a standard of an executive director. In addition it has been held by the judge in this case that the statutory duty in relation to diligence and care would be breached in case the director in context have failed to exercise reasonable extent of diligence and care while exercising his power and discharging his obligations towards organisation. In addition this duty exists or is violated even in situation where the organisation has not faced any actual damage and merely in situation where it could have been reasonably foreseen that such actions of the director would on a subject the organisation or its interest to detriment or harm. This can be simplified as the shareholders and the organisation itself along with the creditors of the company where the financial position of the company is not good have to taken into consideration while determining whether the hard was possible or not and whether the duty has been violated or not. It has also been stated by the court in this case that the best interest of the organisation include the best interest of the members in form of members. The judges also held at even when there is no actual damage caused to the organisation the duty of care and diligence maybe breached by the directors of the company. The judges in this case also provided that the question in relation to the breach of duty of care and diligence can only be addressed properly by referring to the creation of a balance in relation to the possible risk of harm with respect to the potential benefits which could have been expected reasonably to be gained by the company from the actions. In addition the directors of the company have the right to rely upon the judgement, advice and information provided by those officers of the company who have been entrusted to do so without any verification. However the principal has to be considered in the light of the duty to make enquiry when suspicion arises in relation to the mind of a reasonable director. The duties violated by the directors in this case In this case the Australian security Commission had made an allegation in relation to the non executive director that there was a failure on his part to apply a due degree of care and diligence in relation to his operations towards the organisation. If the situation is referred to the contemporary law it may be stated that the director of the company was allowed to violate the provisions which have been stated in the corporation act through section 180(1). This section provides that while discharging the duties there must be a due degree of care intelligence observed by the directors of the company. This due degree of care and diligence is analysed or determined by the court by employing another reasonable director in the same position of the director against whom the allegation has been made and then find out whether the reasonable director would have taken the same decision as the actual director. If it can be established through this test that the reasonable director in the same s ituation in that of the actual director would have taken the same decision then the duty of care and diligence have not been breached by the actual director. However in case the reasonable director would not have taken the decision which was taken by the actual director then it will be stated that the actual director has violated the provisions provided in this section. In the contemporary law which is the Corporation Act governing organisations registered in Australia the penalty for breaching this section by any director of a company is provided under section 1317E of the legislation. Under this section the director may be suspended by the court from managing Corporation in Australia in the future. In addition if this civil penalty provision is violated by any director the court in case of a serious breach has the right to impose a financial penalty on the director as well. Moreover if the director recklessly and knowingly violates the provision provided in section 180 then a criminal proceedings may also be brought against the director under the provisions of section 6.1 of the criminal code. Analysis of the decision which have been provided by the court in relation to this case. The case involves the application of common law principles of negligence in relation to a duty of care on corporate organization. In this case it had been ruled by the court that the non executive director is to be excused or declared not guilty by the court in the given situation. While providing this decision it was also held by the court that the director have violated the duty which he had towards a company however if he is prosecuted it would discourage other entrepreneurs to involve in decision making which may be in the interest of the organisation in future. The decision of the case consists of both a positive and negative aspect. It was clear to the judges in this case that the director have indulge in actions which are in violation of law. However taking into consideration the future implications of the case the Court held at the directors should not be liable. As done in the case of Australian Securities and Investments Commission v Sino Australia Oil Gas Ltd - [2014] FCA 565 in situation where the director has violated any duty he should be prosecuted. The decision of the court in this case is also supported by the provisions of section 1318 of the Corporation Act which have been included to forgive the directors in situations where they violet the duty what buy them to the organisation. Thus through this discussion it is clear that this case has a lot of legal significance in relation to the Australian Corporate Law. It not only provides what actually constitutes the breach of the duty of diligence and care in relation to the organisation but also state the situation in which the director may be excused from the liability. The implications of this case on the future of Australian legal system are discussed below. Future implications of the case in relation to the Australian legal system One of the most significant implications of this case is that the statutory duty in relation to diligence and care would be breached in case the director in context have failed to exercise reasonable extent of diligence and care while exercising his power and discharging his obligations towards organisation. In addition this duty exists or is violated even in situation where the organisation has not faced any actual damage and merely in situation where it could have been reasonably foreseen that such actions of the director would on a subject the organisation or its interest to detriment or harm. This can be simplified as the shareholders and the organisation itself along with the creditors of the company where the financial position of the company is not good have to be taken into consideration while determining whether the hard was possible or not and whether the duty has been violated or not. It has also been stated by the court in this case that the best interest of the organisat ion include the best interest of the members in form of members. These principles have been applied in the case of ASIC v Cassimatis (No 8) [2016] FCA 1023 where the director was held liable for the breach of statutory duty of diligence and care even where there was no financial loss faced by the organization. The loss of the organization reputation was held enough by the court to come to a conclusion that the duty of diligence and care have been violated. In this case it had been provided by the court that the direction and management of the organisation consists of making decisions and working upon actions which may bring much promise on one hand however on the same time they are fraught with risk on the other hand. The application of these principles had been done by the court in the case of Re Connective Services Pty Ltd (28 November 2017) [2017] VSC 609 as done by Robson J. This case set out for the future that the directors has to be excused from any form of liability as if it is not done it would be discouragement towards the expected entrepreneurship from non-executive directors like him. These principles of the case has been established through section 1318 of the Corporation Act 2001. However excusing a director entirely is situation where a breach of duty has been identified has rarely been done in the legal system. One more significant ruling which had been provided through this case is that the process of balancing foreseeable risk in relation to harm which may arise against the potential benefits which may have been expected reasonably to arise in relation to the organisation from the conduct of the directors in this case. These provisions have been successfully applied in the case of ASIC v Doyle (2001) 38 ACSR 606; ASIC v Macdonald (No 11) (2009) 256 ALR 199. Another significant implication of this case is that where are non-executive director holds considerable knowledge and experience as well as influencing power, while analysing his actions they need to be compared to a standard of an executive director. In this case a non-executive director was assumed to have significant responsibilities in relation to the operations of the company. The application of these principles have been done by the court in the case of ASIC v Healey (2011) FCA 717 References ASIC v Cassimatis (No 8) [2016] FCA 1023 ASIC v Doyle (2001) 38 ACSR 606 ASIC v Healey (2011) FCA 717 ASIC v Macdonald (No 11) (2009) 256 ALR 199. Corporation Act 2001 (Cth) Re Connective Services Pty Ltd (28 November 2017) [2017] VSC 609 Vrisakis v Australian Securities Commission [1993] 9 WAR 395