assumption is that the market processes information about the event in an efficient and unbiased manner (more on this later). Event Study Analysis The steps for an event study are as follows: – – – – – – – Event Definition Selection Criteria Normal and Abnormal Return Measurement Estimation Procedure Testing Procedure Empirical Results Interpretation Event Study Analysis The time line for a typical event study is shown below in event time: T0 T1 0 T2 T3 The interval T0-T1is
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Assignment 1 Rizki Sirois 103422978 1) Deming, Juran and Feigenbaum all agree the importance of quality management. Though all have different guidelines to achieving such quality levels, we can accept that all three have agreed on a particular aspect. Deming believed that management of system for improving quality lies in the management section. To strive for the top quality, management must take action to find opportunities for quality improvement. This can relate to Juran's philosophy which
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Table 1: Table of the Standard Normal Cumulative Distribution Function Φ(z) z 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 -3.4 -3.3 -3.2 -3.1 -3.0 -2.9 -2.8 -2.7 -2.6 -2.5 -2.4 -2.3 -2.2 -2.1 -2.0 -1.9 -1.8 -1.7 -1.6 -1.5 -1.4 -1.3 -1.2 -1.1 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 -0.0 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2.1 2.2 2.3 2.4 2.5
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of 25 days, were summarised by = 2120 and = 180 044. Calculate the mean and standard deviation of Janet's journey times. [3] John's journey times had a mean of 79.7 minutes and a standard deviation of 6.22 minutes. Describe briefly, in everyday terms, how Janet and John's journey times compare. [2] 3. The random variable X is normally distributed, with mean and standard deviation each equal to a. It is given that P(X < 3) = 0.25. i.
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STA1610/101/3/2016 Tutorial Letter 101/3/2016 Introduction to Statistics STA1610 Semesters 1 & 2 Department of Statistics IMPORTANT INFORMATION: This tutorial letter contains important information about your module and includes the assignment questions for both semesters. BAR CODE Learn without limits. university of south africa CONTENTS Page 1 INTRODUCTION ..................................................................................................................4 1.1 Tutorial
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Running head: M&M PROJECT REPORT Abstract This paper examines the proportion of M&M candies through the random sampling of 156 bags. After reading this paper one should have a better understanding of the process that accompanies packaging M&M candies. The bags used in the experiments were taken from different stores to help ensure a true sample of all the 1.69 oz of plain M&M candies. Introduction: Purpose of Report The purpose of this report is to examine the five project
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Project Management Exercise – 5% 1. For the following project, draw the network diagram (reasonably neat). Activity | Time Estimate (weeks) | Predecessors | A | 3 | | B | 5 | A | C | 3 | A | D | 1 | C | E | 3 | B | F | 4 | B, D | G | 2 | C | H | 3 | G, F | I | 1 | E, H | 1 1 3 3 2 2 4 4 1 1 3 3 3 3 5 5 Activity I Activity I Activity H Activity H Activity F Activity F Activity D Activity D Activity C Activity C Activity G Activity G Activity B Activity B 3 3 Project Management Exercise
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Acme Electronics Case Date: March 6, 2012 To: Jetson, on behalf of Acme Electronics From: Team 4 Consulting Firm Re: Legal and statistical evaluation of problems facing Acme Per your request, we have assembled a report with a legal and statistical evaluation of the problems facing Acme. If you have any questions, feel free to contact us at any time. Group 4: Acme Electronics Case Executive
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Chapter 7 Continuous Probability Distributions 1. a. a = 6 b = 10 b. 8, found by (6 + 10)/2 c. 1.1547 found by [pic] d. [1/(10 – 6)](10 – 6) = 1 e. 0.75, found by [1/(10 – 6)](10 – 7) f. 0.5, found by [1/(10 – 6)](9 – 7) (LO 2) 2. a. a = 2 b = 5 b. 3.5, found by (2 + 5)/2 c. 0.8660 found by [pic] d. [1/(5 – 2)](5 – 2) = 1 e. 0.8, found by [1/(5 – 2)](5 – 2.6) f. 0.2667, found by [1/(5 – 2)](3.7 – 2.9) (LO 2)
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Econometrics 1. Introduction to Financial Statistics a. Frequency distributions b. Measures of Central Tendency/Location (Mean/Mode/Median) c. Dispersion, Measures of Dispersion (Variance/SD/Quartiles/Percentiles/Ranges) and its relevance to Risk Management d. Correlations 2. Introduction to Probability Theory a. Random variables b. Probability and its uses c. Probability Rules d. Conditional Probabilities e. Probability Distributions (Single Variable) i. Continuous Time/Discreet Time; Continuous
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