...produced in 2005 are contained in the file named movies. PERFORMANCE DATA FOR 10 MOTION PICTURES Motion Picture | Opening Weekend Gross Sales($millions) | Total Gross Sales($millions) | Number of Theaters | Weeks in Top 60 | Coach Carter | 29.17 | 67.25 | 2574 | 16 | Ladies in Lavender | 0.15 | 6.65 | 119 | 22 | Batman Begins | 48.75 | 205.28 | 3858 | 18 | Unleashed | 10.90 | 24.47 | 1962 | 8 | Pretty Persuasion | 0.06 | 0.23 | 24 | 4 | Fever Pitch | 12.40 | 42.01 | 3275 | 14 | Harry Potter and the Goblet of Fire | 102.69 | 287.18 | 3858 | 13 | Monster-In-Law | 23.11 | 82.89 | 3424 | 16 | White Noise | 24.11 | 55.85 | 2279 | 7 | Mr. and Mrs. Smith | 50.34 | 186.22 | 3451 | 21 | Use the tabular and graphical methods of descriptive statistics to learn how these variables contribute to the success of a motion picture. Include the following in your report. 1. Tabular and graphical summaries for each of the four variables along with a discussion of what each summary tells us about the motion picture industry. 2. A...
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... TABLE 1 | PERFORMANCE DATA FOR 10 MOTION PICURES | | | | | | | Motion Pictures | Opening Weekend Gross Sales ($millions) | Total Gross Sales ($millions) | Number of Theaters | Weeks in Top 60 | | | | | | | | | | | Coach Carter | 29.17 | 67.25 | 2574 | 16 | Ladies in Lavender | 0.15 | 6.65 | 119 | 22 | Batman Begins | 48.75 | 205.28 | 3858 | 18 | Unleashed | 10.9 | 24.47 | 1962 | 8 | Pretty Persuasion | 0.06 | 0.23 | 24 | 4 | Fever Pitch | 12.4 | 42.01 | 3275 | 14 | Harry Potter and the Goblet of Fire | 102.69 | 287.18 | 3858 | 13 | | | | | | Monster in Law | 23.11 | 82.89 | 3424 | 16 | White Noise | 24.11 | 55.85 | 2279 | 7 | Mr. and Mrs. Smith | 50.34 | 186.22 | 3451 | 21 | | | | | | Use the tabular and graphical methods of descriptive statistics to learn how these variables contribute to the success of a motion picture. Include the following in the report. 1. Tabular and graphical summaries for the Number of Theaters...
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...measure the success of a motion picture. Data collected for a sample of 100 motion pictures produced in 2005 are contained in the file named Movies. Table 1 shows the data for the first 10 motion pictures in this file. TABLE 1 | PERFORMANCE DATA FOR 10 MOTION PICURES | | | | | | | Motion Pictures | Opening Weekend Gross Sales ($millions) | Total Gross Sales ($millions) | Number of Theaters | Weeks in Top 60 | | | | | | | | | | | Coach Carter | 29.17 | 67.25 | 2574 | 16 | Ladies in Lavender | 0.15 | 6.65 | 119 | 22 | Batman Begins | 48.75 | 205.28 | 3858 | 18 | Unleashed | 10.9 | 24.47 | 1962 | 8 | Pretty Persuasion | 0.06 | 0.23 | 24 | 4 | Fever Pitch | 12.4 | 42.01 | 3275 | 14 | Harry Potter and the Goblet of Fire | 102.69 | 287.18 | 3858 | 13 | | | | | | Monster in Law | 23.11 | 82.89 | 3424 | 16 | White Noise | 24.11 | 55.85 | 2279 | 7 | Mr. and Mrs. Smith | 50.34 | 186.22 | 3451 | 21 | | | | | | Managerial Report Use the tabular and graphical methods of descriptive statistics to learn how these variables contribute to the success of a motion picture. Include the following in the...
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...MANAGERIAL REPORT Case Study: Motion Picture Industry Assignment 1 Prepared By: Table of Contents Introduction 3 Executive Summary 3 Data and General Analysis 4 CONCLUSIONS 12 Integrity Statement 13 Works Cited 13 Executive Summary In this report we will show, via descriptive statistics, how independent variables appear to contribute to the success of motion pictures. Using data collected from a sample of 100 motion pictures produced in 2005, we utilize the following variables: Opening Weekend Gross Sales (in millions of dollars); Total Gross Sales (in millions of dollars); Number of Theaters, and; Weeks in Top 60, to graphically depict their contribution to that success. We will also display the data in both tabular and graphical methods to allow management to make inferences about the data and ultimately enable decision making with reference to the data set. There are more variables and parameters available to determine each depicted variable’s contribution to the success (or lack of success) of the motion picture, but this report only analyzed, interprets and presents with reference to the four variables mentioned. Major highlights include: * 70% of the motion pictures in the sample had Opening Weekend Gross Sales of less than $10 million. * 73% of the motion pictures in the sample had Total Gross Sales of less than $40 million. * 45% of the motion pictures in the sample were shown in 250 or less theaters. * 65% of the...
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...Variable | Minimum | Q1 | Median | Q3 | Maximum | Opening gross | 0.0100 | 0.0625 | .0395 | 12.49 | 108.44 | Total gross | 0.0300 | 0.375 | 5.854 | 47.69 | 380.18 | # of theaters | 5.00 | 45.3 | 410 | 2732 | 3910 | Weeks in Top 60 | 1.00 | 3.00 | 7.00 | 13.00 | 27.00 | What Does this Tell Us? Opening Weekend Gross Sales: The mean or average of opening weekend in gross sales in $9.38 million. The range between the sales is large and can be as little as $10,000 to as high as $108.44 million. The five-number summary is .01, .0625, .0395, 12.49 and 108.44. The top 25% of the movies had an opening weekend gross sale amount of $12.49 million or more. While 50% of the movies grossed $395,000 or less and the other 25% at an even lower amount of $62,500 or less. Total Gross Sales: The mean or average total gross sales is $33.04 million. The range between the total gross sales is high as well starting as low as $30,000 to as high as $380.18 million. The five number summary is .03, .375, 5.854, 47.69 and 380.18. The top 25% of the movies had a gross sale amount of $47.69 million or more. While 50% of the movies...
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...of the motion picture industry data from chapter 2. Using descriptive statistics such as the mean, median, standard deviation and range. Five-number summaries and identification of outliers are also used. Descriptive Statistics Variable | N | Mean | Median | Standard Deviation | Range | Opening Gross | 100 | 9.37 | 0.39 | 18.8747021 | 108.43 | Total Gross | 100 | 33.04 | 5.85 | 63.1646927 | 380.15 | Number of Theaters | 100 | 1278 | 410 | 1378.68944 | 3905 | Weeks in Top 60 | 100 | 8.68 | 7 | 6.8 | 26 | | | | | | | Variable | Minimum | Q1 | Median | Q3 | Maximum | Opening Gross | 0.01 | 0.06375 | 0.39 | 12.43025 | 108.44 | Total Gross | 0.03 | 0.04275 | 5.85 | 47.43475 | 380.18 | Number of Theaters | 0.03 | 45.75 | 410 | 2626.5 | 3910 | Weeks in Top 60 | 5 | 3 | 7 | 13 | 27 | Interpretation Opening Gross Sales The mean opening gross sales is $9.37 million. The five-number summery is .01, .0637, .039, 12.43 and 108.44. This data shows that the opening gross sales is extremely variable and ranges from $10,000 to $108.44 million. 50% of the motion pictures had an opening gross sales of less then $395,000 or less. The top 25% of the motion pictures had opening gross sales of $12.49 million or more. Total Gross Sales The mean total gross sales are $33.04 million. The five-number summary is .03, .04275, 5.85, 47.43 and 380.18. The data shows that the total gross salary is also very variable ranging from $30,000 to $380.18 million. 50%...
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...HANOI UNIVERSITY OF INDUSTRY FACULTY OF FOREIGN LANGUAGES ---------- GRADUATION PAPER B.A DEGREE IN ENGLISH A CONTRASTIVE ANALYSIS BETWEEN NOMINAL CLAUSE IN ENGLISH AND VIETNAMESE EQUIVALENTS Supervisor : Nguyễn Thị Hưởng, MA Student : Đặng Thị Thơi Student ID : 0541180107 Group : ĐHTA2 – Intake 5 Hanoi, May, 2014 DECLARATION I certify that no part of the report has been copied or reproduced by me from any other person’s work without acknowledgement and that the report is originally written by me under strict guidance of my supervisor. Date of submitted: May 05, 2014 StudentĐặng Thị Thơi | SupervisorNguyễn Thị Hưởng | | | ACKNOWLEDGEMENTS For the accomplishment of this study, I have received a great deal of support and assistance from many dedicated individuals. First of all, I would like to express my faithful and deepest thanks to my supervisor, Mrs. Nguyen Thi Huong (M.A) for her useful references, excellent advices and readiness during my study process. Secondly, I would like to show my gratitude to all teachers at Faculty of Foreign Language, Hanoi University of Industry for their support during the time of the course. I want to thank all linguists and grammarians whose researchers have been quoted in this study. My thanks also go to my beloved family and my friends who always stand by my side and encourage me from my reparation until the completion...
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...the following in your report. 1. Descriptive statistics for each of the four variables along with a discussion of what the descriptive statistics tell us about the motion picture industry. 2. What motion picture, if any, should be considered high performance outliers? 3. Descriptive statistics showing the relationship between total gross sales and each of the other variables. Discuss. Motion Picture/Opening Gross/Total Gross/Number of Theaters/Weeks in Top 60 Coach Carter 29.17 67.25 2,574 16 Ladies in Lavender 0.15 6.65 119 22 Batman Begins 48.75 205.28 3,858 18 Unleashed 10.90 24.47 1,962 8 Pretty Persuasion 0.06 0.23 24 4 Fever Pitch 12.40 42.01 3,275 14 Harry Potter and the Goblet of Fire 102.69 287.18 3,858 13 Monster-in-Law 23.11 82.89 3,424 16 White Noise 24.11 55.85 2,279 7 Mr. and Mrs. Smith 50.34 186.22 3,451 21 Be Cool 23.45 55.81 3,216 8 Modigliani 0.03 0.13 9 4 Flightplan 24.63 89.69 3,424 21 Steamboy 0.14 0.36 46 3 Lost Embrace 0.02 0.05 5 1 Kung Fu Hustle 0.27 17.08 2,503 16 Howl's Moving Castle 0.43 4.61 202 11 War of the Worlds 77.06 234.21 3,910 19 Balzac and the Little Chinese Seamstress 0.02 0.42 22 6 Lords of Dogtown 5.62 11.01 1,865 4 The Baxter 0.04 0.04 47 1 The Amityville Horror 23.51 64.26 3,323 6 House of Wax 12.08 32.05 3,111 12 Uncle...
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...Resources, Conservation and Recycling 36 (2002) 211 Á/240 www.elsevier.com/locate/resconrec Shipping news: the implications of electronic commerce for logistics and freight transport Markus Hesse * Department of Earth Sciences, Geographic Sciences and Urban Research, Free University of Berlin, Malteserstr. 74-100, 12249 Berlin, Germany Accepted 24 June 2002 Abstract The paper considers the significance of electronic commerce (e-commerce) for freight transport, logistics and physical distribution, regarding both business to business and business to consumer commerce. The possible implications of e-commerce are analysed in the broader context of structural change, going beyond narrow assessments that overstate the significance of e-commerce and its potential to make freight traffic more efficient. The main argument of the paper is threefold: first, most recent analyses of freight transport and logistics implications of e-commerce are overstating the current relevance of e-commerce applications on the one hand, and neglecting the influence of the underlying structural change in the entire logistics system on the other. Second, conventional analyses of certain efficiency benefits of ecommerce are probably too optimistic, whereas its negative effects are underestimated at the same time. E-commerce is likely to support longer transport distances and often higher delivery frequencies, increasing demand for land, due to the establishment of new transhipment points (distribution...
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...Milkovich−Newman: Compensation, Eighth Edition Front Matter 1. The Pay Model © The McGraw−Hill Companies, 2004 Chapter One The Pay Model Chapter Outline Compensation: Definition, Please? Society Stockholders Managers Employees Global Views—Vive la différence Forms of Pay Cash Compensation: Base Cash Compensation: Merit Pay/ Cost-of-Living Adjustments Cash Compensation: Incentives Long-Term Incentives Benefits: Income Protection Benefits: Work/Life Focus Benefits: Allowances Total Earnings Opportunities: Present Value of a Stream of Earnings Relational Returns from Work The Employment Relationship Combines Transactional and Relational Returns Variations in Transactional and Relational Expectations A Pay Model Compensation Objectives Four Policies Pay Techniques Book Plan Caveat Emptor—Be an Informed Consumer 1. Does the Research Measure Anything Useful? 2. Does the Study Separate Correlation from Causation? 3. Are There Alternative Explanations? Your Turn: Glamorous Internships? or House Elves? A friend of ours writes that she is in one of the touring companies of the musical Cats. In the company are two performers called “swings” who sit backstage during each performance. Each swing must learn five different lead roles in the show. During the performance, the swing sits next to a rack with five different costumes and makeup for each of the five roles. Our friend, who has a lead in the show, once hurt her shoulder during a dance number. She signaled to someone...
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...Министерство образования и науки Республики Казахстан Кокшетауский государственный университет им. Ш. Уалиханова An Outline of British Literature (from tradition to post modernism) Кокшетау 2011 УДК 802.0 – 5:20 ББК 81:432.1-923 № 39 Рекомендовано к печати кафедрой английского языка и МП КГУ им. Ш. Уалиханова, Ученым Советом филологического факультета КГУ им. Ш. Уалиханова, УМС КГУ им. Ш. Уалиханова. Рецензенты: Баяндина С.Ж. доктор филологических наук, профессор, декан филологического факультета КГУ им. Ш. Уалиханова Батаева Ф.А. кандидат филологических наук, доцент кафедры «Переводческое дело» Кокшетауского университета им. А. Мырзахметова Кожанова К.Т. преподаватель английского языка кафедры гуманитарного цикла ИПК и ПРО Акмолинской области An Outline of British Literature from tradition to post modernism (on specialties 050119 – “Foreign Language: Two Foreign Languages”, 050205 – “Foreign Philology” and 050207 – “Translation”): Учебное пособие / Сост. Немченко Н.Ф. – Кокшетау: Типография КГУ им. Ш. Уалиханова, 2010 – 170 с. ISBN 9965-19-350-9 Пособие представляет собой краткие очерки, характеризующие английскую литературу Великобритании, ее основные направления и тенденции. Все известные направления в литературе иллюстрированы примерами жизни и творчества авторов, вошедших в мировую литературу благодаря...
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...EnglishContents ABOUT THIS BOOK ................................5 THE WORDS.............................................7 WORD ANALYSIS ...............................103 IDIOM AND USAGE ............................117 About This Book English offers perhaps the richest vocabulary of all languages, in part because its words are culled from so many languages. It is a shame that we do not tap this rich source more often in our daily conversation to express ourselves more clearly and precisely. There are of course thesauruses but they mainly list common words. Other vocabulary books list difficult, esoteric words that we quickly forget or feel self-conscious using. However, there is a bounty of choice words between the common and the esoteric that often seem be just on the tip of our tongue. Vocabulary 4000 brings these words to the fore. Whenever possible, one-word definitions are used. Although this makes a definition less precise, it also makes it easier to remember. Many common words appear in the list of words, but with their less common meanings. For example, the common meaning of champion is “winner.” A less common meaning for champion is to support or fight for someone else. (Think of the phrase “to champion a cause.”) This is the meaning that would be used in the list. As you read through the list of words, mark any that you do not know with a check mark. Then when you read through the list again, mark any that you do not remember with two checks. Continue in this...
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...A GUIDE TO SQL Eighth Edition This page intentionally left blank A G U I D E TO S Q L Eighth Edition Philip J. Pratt Grand Valley State University Mary Z. Last University of Mary Hardin-Baylor Australia • Brazil • Japan • Korea • Mexico • Singapore • Spain • United Kingdom • United States A Guide to SQL, Eighth Edition Philip J. Pratt, Mary Z. Last Vice President, Publisher: Jack Calhoun Editor-in-Chief: Alex von Rosenberg Senior Acquisitions Editor: Charles McCormick, Jr. Product Manager: Kate Hennessy Development Editor: Jessica Evans Editorial Assistant: Bryn Lathrop Marketing Director: Brian Joyner Marketing Manager: Bryant Chrzan Marketing Communications Manager: Libby Shipp Marketing Coordinator: Suellen Ruttkay Content Project Manager: Matt Hutchinson Art Director: Stacy Jenkins Shirley, Marissa Falco Cover Designer: Joseph Sherman Cover Image: Getty Images/Taxi/Chris Bell Manufacturing Coordinator: Denise Powers © 2009 Course Technology, Cengage Learning ALL RIGHTS RESERVED. No part of this work covered by the copyright hereon may be reproduced, transmitted, stored, or used in any form or by any means graphic, electronic, or mechanical, including but not limited to photocopying, recording, scanning, digitizing, taping, Web distribution, information networks, or information storage and retrieval systems, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the publisher....
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...CONTE NTS Introduction 1 WHY YOU SHOULD VISIT CEMETERIES: Survivorship Bias 2 DOES HARVARD MAKE YOU SMARTER?: Swimmer’s Body Illusion 3 WHY YOU SEE SHAPES IN THE CLOUDS: Clustering Illusion 4 IF 50 MILLION PEOPLE SAY SOMETHING FOOLISH, IT IS STILL FOOLISH: Social Proof 5 WHY YOU SHOULD FORGET THE PAST: Sunk Cost Fallacy 6 DON’T ACCEPT FREE DRINKS: Reciprocity 7 BEWARE THE ‘SPECIAL CASE’: Confirmation Bias (Part 1) 8 MURDER YOUR DARLINGS: Confirmation Bias (Part 2) 9 DON’T BOW TO AUTHORITY: Authority Bias 10 LEAVE YOUR SUPERMODEL FRIENDS AT HOME: Contrast Effect 11 WHY WE PREFER A WRONG MAP TO NO MAP AT ALL: Availability Bias 12 WHY ‘NO PAIN, NO GAIN’ SHOULD SET ALARM BELLS RINGING: The It’llGet-Worse-Before-It-Gets-Better Fallacy 13 EVEN TRUE STORIES ARE FAIRYTALES: Story Bias 14 WHY YOU SHOULD KEEP A DIARY: Hindsight Bias 15 WHY YOU SYSTEMATICALLY OVERESTIMATE YOUR KNOWLEDGE AND ABILITIES: Overconfidence Effect 16 DON’T TAKE NEWS ANCHORS SERIOUSLY: Chauffeur Knowledge 17 YOU CONTROL LESS THAN YOU THINK: Illusion of Control 18 NEVER PAY YOUR LAWYER BY THE HOUR: Incentive Super-Response Tendency 19 THE DUBIOUS EFFICACY OF DOCTORS, CONSULTANTS AND PSYCHOTHERAPISTS: Regression to Mean 20 NEVER JUDGE A DECISION BY ITS OUTCOME: Outcome Bias 21 LESS IS MORE: The Paradox of Choice 22 YOU LIKE ME, YOU REALLY REALLY LIKE ME: Liking Bias 23 DON’T CLING TO THINGS: Endowment Effect 24 THE INEVITABILITY OF UNLIKELY Events: Coincidence 25 THE CALAMITY OF CONFORMITY: Groupthink 26 WHY...
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...IMPORTANT This electronic version of The Century Vocabulary Builder (1922) has been prepared by Serenson Pty Ltd for www.write-better-english.com. This PDF follows the pagination of the original (hard copy) book and includes hypertext links that we have inserted, which look like this. Please do not remove links. Reformatting the original text into this PDF has been no easy task; it is possible that the process has introduced errors or caused omissions. As a result, we make no guarantee about the accuracy or completeness of this version of the Vocabulary Builder. If you find an error or omission in this PDF, please check the original book and contact us so that we can fix the error or omission. Please check your local copyright laws before accessing this PDF. If you are serious about building your vocabulary, we highly recommend you try the popular vocabularybuilding program called Ultimate Vocabulary Want the ultimate vocabulary builder? Click www.write-better-english com/ultimate-vocabulary.aspx THE CENTURY VOCABULARY BUILDER BY GARLAND GREEVER AND JOSEPH M. BACHELOR NEW YORK THE CENTURY CO. Want the ultimate vocabulary builder? Click www.write-better-english com/ultimate-vocabulary.aspx PREFACE You should know at the outset what this book does not attempt to do. It does not, save to the extent that its own special purpose requires, concern itself with the many and intricate problems of grammar, rhetoric, spelling, punctuation, and the like; or clarify...
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