2013 PMGT589 – Project Risk Management Assignment 2 – Group 5 PMGT5891 Project Risk Management Assignment 2 – Group 5 Name: Felipe Arcila Eric Jonathan Ernst Bodamer Xintao Hou Minjie Shi Vagi William Student ID: 420160957 420177232 420149985 309108152 430154654 0 PMGT589 – Project Risk Management 6/15/2013 PMGT589 – Project Risk Management Assignment 2 – Group 5 Table of Contents 1. 2. 3. 4. 5. 6. 7. Activity 1 – PERT Model ...............................................
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aspects that need to be investigated: average‚ spread‚ location‚ shape and outliers. You will complete some of the work by hand and the rest using Microsoft Excel. Specifically the aims of this tutorial are to: Produce frequency distributions and histograms for numerical data Calculate by pen-and-paper some of the standard summary measures used to describe single quantitative variables. Produce summary measures using Microsoft Excel. Practise choosing the most appropriate summary measures to describe
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Tutorial 10a Array QUESTIONS 1. For the declaration char grades [5] ; How many memory cells are allocated for data storage? What types of data can be stored there? How does one refer to the initial array element? To the final array element? 2. For the following array‚ describe what happens when the following statements are executed for i = 3 ; Array x 0.0 1.0 2.0 8.0 12.0 5.0 14.0 7.0 i = 3; printf (“%d %.1f” ‚ 4‚ x[4]) ; printf (“%d %.1f” ‚ i‚ x[i] ) ;
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QNT 273 – INTRODUCTION TO BUSINESS STATISTICS – Complete Class Includes All DQs‚ Individual and Team Assignments – UOP Latest Purchase this tutorial here: https://www.homework.services/shop/qnt-273-introduction-to-business-statistics-complete-class-includes-all-dqs-individual-and-team-assignments-uop-latest/ QNT 273 Introduction to Business Statistics Week 1: Individual Assignment: Introduction to Statistics Paper Write a 350- to 700-word paper in which you describe how you use statistics
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TABLE OF CONTENTS Part A: INTRODUCTION EXPECTAIONS‚ PREDICTIONS AND ASSUMPTIONS PAGE 3 DATA SECONDARY DATA – STEM AND LEAF PLOT PAGE 4 SECONDARY DATA – LINE GRAPH AND OGIVES PAGE 6 SECONDARY DATA – BOX PLOT AND HISTOGRAMS PAGE 7 SECONDARY DATA – MEASURMENTS OF RANGE PAGE 12 SECONDARY DATA – BELL CURVE PAGE 12/11 INVESTIGATION PAGE 11 ANALYSIS CONCLUSION PAGE
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AP Statistics Quarter 1 Final (Chapters 1-5) Chapter 1 Sections 1.1 and 1.2 I. Observation vs. Experiment A. Observational study: Record data on individuals without attempting to influence the responses. We typically cannot prove anything this way. B. Experimental study: Deliberately impose a treatment on individuals and record their responses. Influential factors can be controlled. C. Confounding 1. Two variables (explanatory variables or lurking variables) are confounded when their effects
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Lanigan Central High Style Sheet Essay Format TITLE PAGE An essay does not need a title page. However‚ some instructors prefer to have one‚ especially if the paper is longer than five pages. Symbolism in Hamlet John J. Smith Mr. Brown English 30A March 1‚ 2003 Symbolism in Hamlet John J. Smith Mr. Brown English 30A March 1‚ 2003 Create an original title Title is centred on the page Titles of essays should not be underlined. If part of the title is also the title
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S1 Jan 2001 1) The students in a class were each asked to write down how many CDs they owned. The student with the least number of CDs had 14 and all but one of the others owned 60 or fewer. The remaining student owned 65. The quartiles for the class were 30‚ 34 and 42 respectively. Outliers are defined to be any values outside the limits of 1.5(Q3 – Q1) below the lower quartile or above the upper quartile. On graph paper draw a box plot to represent these data‚ indicating clearly any outliers
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Experimental Errors and Uncertainty No physical quantity can be measured with perfect certainty; there are always errors in any measurement. This means that if we measure some quantity and‚ then‚ repeat the measurement‚ we will almost certainly measure a different value the second time. How‚ then‚ can we know the “true” value of a physical quantity? The short answer is that we can’t. However‚ as we take greater care in our measurements and apply ever more refined experimental methods‚ we can reduce
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1. What are the problems facing Jason Mah and the Café D. Pownd? There are several problems facing Jason Mah and Café D Pownd. One serious problem‚ which arose from lack of space‚ was the confusion building in the queues since people had no idea which line they were in. There were times when people had been lining up in the interactive cooking line for several minutes when they actually wanted to be in the pre-cooked line. Another problem was the long lines tended to create a wall of people in
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