filtering can alleviate the effect of noise on the desired signal. Undesired Signal : The one that gets added to the desired signal when the desired signal is passing through the medium, amplifiers, mixers, filters and other parts of the communication channel between the source and the destination. Noise : The undesired signal that adds to the desired signal and reaches the destination. The only way to keep away from the effects of noise is to see that less amount of noise, relative to the desired signal
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Amazon.com’s European Distribution Strategy Name: Shijing Zhao Date: February 23, 2013 Introduction and Problem Definition To best support its growth, Amazon Europe was considering building a European distribution network (EDN) where the location of inventory would be strategically determined. Among all issues to be considered, the most important one was to evaluate the three alternatives to design the EDN and choose one of them. External Analysis (See Appendix 1 for full listing) For
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Task 2 Short Answer Questions 1a. 1b. 1c. 1d. 1e. 1f. 2a. 2b. 2c. 2d. 2e. 2f. 3. Draw a labelled diagram showing the bonding that occurs within a piece of potassium. Potassium is a metal that has one electron in its outer shell. It is a metal therefore contains delocalised electrons. 4a. 4b. 4c. 4d. 5a. Electricians’ screwdrivers have plastic handles but the shaft of the screwdriver is metal.( Still need to find diagrams) `Electrician
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Hypothesis Testing – Two Sample * H0 : µ1 = µ2 H1 : µ1 ≠ µ2 * Case 1 -- If you know population variances, use this and Normal table * Case 2 -- If you know only sample variances, and samples are large, use this and Normal table * Case 3 -- If you know only sample variances, and samples are small, and unknown population variances can be assumed identical, use this and t-table, with n1 + n2 - 2 df. (sp is called “pooled estimate of σ”) * We use standard error
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its popularity within Financial Intuitions, Treasures and Fund Managers, there are frequent criticisms against its use which we will discuss in this part. One of the criticisms is that VAR focuses on the risks around the middle area of the distribution and completely ignores the tail portion which is associated with large losses. (Glasserman, Heidelberger & Shahabuddin, 2002, P239). So, the probability of the portfolio losing side has not been evaluated enough. For example, the interpretation
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Independent Dependent Conditional Bayes' Rule Permutation =PERMUT(n,r) (N=count of data values) Combination =COMBIN(n,r) (R=size of smaller group taken from N) Discrete Distributions Expected Value: =SUMPRODUCT(x,P(x)) Variance: =SUM(x^2 * p) - (expected value^2) SD: =SQRT(discrete variance) Binomial Distributions Mean: =n*p Variance: =n*p*(1 - p) SD: =SQRT(variance) Probability:
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80. a. These cases are a population because that these cases account for each of the 25 tables that are filled on the night in question. b. Mean = (28 + 39 + 23 + 67 +37 + 28 +56 + 40 +28+50+ 51 + 45 + 44 + 65 + 61 + 27 + 24 + 61 + 34 + 44 + 64 + 25+ 24 + 27 + 29) / 25 = 40.84 Median = The median value is the same as the middle value, and this is the same as the 13th highest number = 39 c. The biggest value = 67, lowest value = 23; so, the range is 67 – 23 = 44 Standard deviation = sqrt([(28 - 40
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operate and maintain its power supply to provide an acceptable level of reliability to its users. This clearly requires that standards of reliability be specified and used in all three sectors of the power system, i.e., generation, transmission and distribution.
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1. Module Name: Introductory Econometrics Code: P12205 Credits: 10 Semester: Spring 2011/12 Delivery: 16 one-hour lectures + 4 one-hour workshops Aims: The main aims of this module are: to introduce students to the principles, uses and interpretation of regression analysis most commonly employed in applied economics; to provide participants with sufficient knowledge of regression methods to critically evaluate and interpret empirical research. On completion of this module students should
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Problem 1 A random sample of 16 adult males is about to get into an elevator which has a weight capacity of 2900 lbs. The adult male weight follows the normal distribution with a mean of 170 lbs and a standard deviation of 15 lbs. (a) What is the probability that the total weight for this sample of 16 adult males will exceed 2900 lbs? Hint: This is the same as calculating the probability that the average weight for a random sample of 16 exceeds 2900/16. (b) Will the probability
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