use systems analysis and design methodologies when building a system? Why not just build the system in whatever way seems to be “quick and easy?” What value is provided by using an “engineering” approach? Ans: While analyzing and designing a system‚ we take into consideration the flexibility‚ scalability‚ performance‚ maintainability and testability. When these capabilities are not taken into consideration‚ we see a high probability for system failure. Conversely‚ if too much of analysis and design
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Quantitative methods Time value of money Effective annual rate (EAR) Effective annual rate (EAR) = (1+stated annual rate/frequency‚ m) ^ m-1 Annuities Ordinary annuities: cash flow at the end of each period‚ normal one; Annuities due: cash flow at the beginning of each period‚ first payment =t0; Calculator setting: [2nd][BGN]-[2ND][SET]; same procedure for setback to END; Payment at beginning of next three years‚ N=4‚ always +1 using annuities due It is a BGN question‚ if first payment is today
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Data Analysis and Design of Experiments – CHEE231 (3 credits) Fall 2013 Department of Chemical Engineering McGill University Instructor : Prof. Pierre-Luc Girard-Lauriault M.H. Wong Building‚ room 4150 Tel. 514-398-4006 email : pierre-luc.girard-lauriault@mcgill.ca Co-Requisite: CHEE 291 - Instrumentation and Measurement 1 Teaching Assistants: Simon Kwan (simon.kwan@mail.mcgill.ca) - Assignments Gregory Laskey (gregory.laskey@mail.mcgill.ca) - Assignments Mahdi Roohnikan (mahdi.roohnikan@mail
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Charismatic Condition Mean 4.204081633 Standard Error 0.097501055 Median 4.2 Mode 4.8 Standard Deviation 0.682507382 Sample Variance 0.465816327 Kurtosis 5.335286065 Skewness -1.916441174 Range 3.5 Minimum 1.5 Maximum 5 Sum 206 Count 49 Confidence Level(95.0%) 0.196039006 In both the Charismatic and the punitive condition data sets there were 49 people surveyed. We know this because we were able to use descriptive statistics to show the count and that shows the number of people
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The Mean and Median: Measures of Central Tendency The Mean and the Median The difference between the mean and median can be illustrated with an example. Suppose we draw a sample of five women and measure their weights. They weigh 100 pounds‚ 100 pounds‚ 130 pounds‚ 140 pounds‚ and 150 pounds. To find the median‚ we arrange the observations in order from smallest to largest value. If there is an odd number of observations‚ the median is the middle value. If there is an even number of observations
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equally weighted: RP= 110iRi → AVERAGE Variance: VarP= ijwiwjCovi‚j equally weighted: VarP= (110)2ijCovi‚j Covariance Matrix: Cov1‚1⋯Cov1‚n⋮⋱⋮Covn‚1⋯Covn‚n → symmetric Create Covariance Matrix: Two Options: 1. Data Analysis (Add-In Tool) (indirectly‚ returns population covariance) 2. Sample Covariance-Formula in Excel (see extra file) Population Cov: CovRi‚Rj=1n*t=1nRi‚t-Ri *(Rj‚t-Rj) Sample Cov: CovRi‚Rj=1n-1*t=1n(Ri‚t-Ri)*(Rj‚t-Rj) Data Analysis: Multiplying every covariance of the
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generally present few difficulties for event studies. Standard procedures are typically well-specified even when special daily data characteristics are ignored. However‚ recognition of autocorrelation in daily excess returns and changes in their variance conditional on an event can sometimes be advantageous. In addition‚ tests ignoring cross-sectional dependence can be well-specified and have higher power than tests which account for potential dependence. 1. Introduction This paper examines properties
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Assignment Grading Criteria Budget Management Analysis Week Five 1. Write a 1‚200- to 1‚500-word paper‚ which includes a cost variance‚ in which you complete the following: Determine specific strategies to manage budgets within forecasts. Zero based (analyzes every expense within an organization and justifies the need and cost of each)‚ activity based (is the gathering of the operating cost data‚ which is assigned to specifc activies such as engineering) performance based (performance dashboard
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PEST Analysis We are going to produce a PEST analysis to find out what external influences may be affecting the product (Milo) and to what extent to which customers decide to buy them. The purpose of the PEST analysis is to analyse the organization (Nestle Milo) operates and to identify how it may influence marketing decisions. A PEST analysis analyses the external environment in which an organization operates and identifies how it should influence marketing decisions. Political Factors The actions
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write-up will introduce students to the various mathematical and statistical functions available in EXCEL and explain how to use them. In section 2‚ I will discuss the various array (matrix) functions available in EXCEL that are useful for data analysis and asset allocation. I will also introduce you to the capabilities of the SOLVER function in EXCEL and take you through a hypothetical example dealing with allocating wealth efficiently across three assets. In Section 3‚ we will discuss the statistical
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