Decision Analysis for the US Army Essay Example | Topics and Well Written Essays - 1000 words

conclusion Analysis for the US Army - Essay ExampleAnalytical lasts are underinterpreted when there is ample beat to compare the facets, in order to choose the most profitable course of direction. The best module amongst the alternatives is taken (See appendix). In this case the supply of weapons is done from the highest bidder and of the best quality. Decision trees This is a tool that allocates data for closing fashioning in form of tree in order to analyze the variable hence take out the decision. The tool breaks down the data in logical and simple manner thus easy to understand. whatsoever mistakes made in the data translate to the tree model. Each nodule of the tree poses an attribute, the branches corresponds to an attribute part each leaf assigns a classification. The module is very simple to use and interpret and it can insure both numerical and categorical data. The decision trees can be used for validation analysis as separate statistical approach follows (Andre w, 2005). The simple illustration below describes the case of buying or making weapons. A decision is made after thoroughly considering all the uncertainties involved past a decision is made. Cost factor can be used to make the decision and the manufacturing option would be adopted. Nonetheless, other factors need to be considered in real situation analysis e.g. quality, time taken etc. interpreter one A variable is an element of a problem that is being predicted or delimitates it. They may reposition depending on the scope of the problem being analysed. Predictable variables are used to assess the certain conditions age unpredictable variables follow uncertainties hence probability is used. Variables are used in decision analysis to represent value or symbol of the actual attribute being determined. A variable denoted by Y may represent the cost estimates, overheads, revenues etc. When one value of a variable is related to another(prenominal) value of a variable, then the case is said to a correlation surrounded by the two variables. correlation means an inter-relationship. A simple linear regression model is a statistical technique that explores the inter-relations between two or more variables. Linear regression tools have applied in many organisations to fancy for the observed variables. The military may want to determine whether there is a relationship between competitive period and weapons use. To do so, the observed data is analysed and the simple line equation is used. Y=a+bx Y in this case represents number weapons used during war X variable shows the number the war reoccurs A and b are constants Table one weapons Time period lasted during the state of wars 100000 1 year reality war I 300000 1 year World war II 250000 2 years War in Afghanistan 85000 1 year War in Kuwait The equation is then extend to determine a and b i.e. 100,000= a+ 1b 250,000=a+2b -150,000= -b 150,000= b Then a=100,000-1b = 100000-150,000 = -50,000 If we were to determi ne the occurrence of introduction war III will take 3 years, then the number of weapons needed are Y=a+bx = -50,000 + 150,000*3 =400,000 weapons The simple regression analysis can be determined by plotting a graph using the same variable to obtain the line of best fit. This can be then be used to forecast on future needs of weapon acquisition for the military. The relationship between the period the war takes the higher the number of weapons needed. The relationship is linear. This model works best when there are two variables under consideration. Scatter diagrams are used to analyze