...MAT 300 m&ms® Project Part 1 (10 pts) Throughout this course we will be using m&ms® data to help explain some of the concepts being taught as well as give you a feel for how these methods can be used. We will be exploring plain m&ms® and I have chosen to use the 1.69 oz size bags for convenience and affordability. From a larger perspective, the purpose of our report is to examine the packaging process for plain 1.69 ounce bags of m&ms®. In order to get started, everyone needs to visit three (3) different stores and purchase a plain m&ms® 1.69 oz bag of candy. It is not necessary to keep track of which bag came from which store. Why do we need to do this? We are taking a sample of the population of all 1.69 oz bags of plain m&ms® that are produced. In order for our results to be meaningful, we need a random sample. Random samples are found by sampling at complete and total random. By visiting three different stores and then randomly selecting a bag from the display, we are assuring that we are obtaining a true random sample. Other sampling methods will also produce a random sample. The concepts of population, sample, and sampling methods will be explained further in Chapter 1. Download the mnminput.xls file found in the Student Center under Course Documents. Once you have your three bags, you will need to open each one individually and record the number of candies of each color within the bag (blue, orange, green, yellow, red, and brown) into the file. Once...
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...fibre extraction units have been running very successfully. Some firms are exporting the banana fibre products. Banana growing states of N.E.Region has adopted the technology from South and started production of banana fibre and fabric. MARKET POTENTIAL The banana fibre is being used for weaving attractive pieces of clothes, rugs, sarees etc. Besides, it is also being used to produce a variety of items such as hats, photo frames, trinket boxes, gift bags, picture frames, hand bags, belts, baskets and sandals etc. Dresses woven out of natural fibres are in great demand inside and outside India. PLANT CAPACITY Capacity utilization Average daily production envisaged Working days/year Annual production Door Mat Floor covering Screen Durry : 70% : 10 Kg cloth. : 25 days in a month and 300 days in a year. : : 1000 Nos. : 1000 Nos. : 1600 Mt. : 1500 Nos. RAW MATERIALS The main raw material for the unit is banana tree which is abundantly available in the State of Meghalaya, Mizoram, Arunachal Pradesh and Assam. 1. 2. Cost of Banana Stem Misc. items : : 1.40 lakhs 0.20 lakhs Total : 1.60 lakhs. SUGGESTED LOCATION : Banana growing areas in Assam, Meghalaya, Mizoram and Arunachal Pradesh. PROCESS Banana Fibre Processing and Weaving : The extraction of the natural fibre from the plant required certain care to avoid damage. In the present experiments, initially the banana plant sections were cut from the main stem of the plant and then rolled lightly to remove the excess moisture. Impurities...
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...MAT 300 M&Ms® Project Part 4 (21 pts) Use the M&Ms® data to complete this assignment. You will be using the methods of 7.4 for the color proportions and 7.2 for the mean number of candies per bag. For the Bonus you will be using the methods of 7.5. You can use StatCrunch to assist with the calculations. A link for StatCrunch can be found under Tools for Success in Course Home. Here is also a link: http://statcrunch.pearsoncmg.com/statcrunch/larson_les4e/dataset/index.html. You can also find additional help on both confidence intervals and StatCrunch in the Online Math Workshop under Tab: “MAT300 Archived Workshops”. Specifically you will be looking for Hypothesis Tests and Using Technology – Hypothesis Testing. Submit your answers in Excel, Word or pdf format. Submit your file through the M&M® project link in the weekly course content. Be sure to state clear hypotheses, test statistic values, critical value or p-value, decision (reject/fail to reject), and conclusion in English (what does reject/fail to reject the null mean in terms of your hypotheses). When doing calculations for the color proportions, keep at least 4-6 decimal places sample proportions, otherwise you will encounter large rounding errors. Masterfoods USA states that their color blends were selected by conducting consumer preference tests, which indicated the assortment of colors that pleased the greatest number of people and created the most attractive overall effect. On average, they...
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...M&Ms® Project Report Rachel Carr Professor Patty Fuller MAT 300- Statistics June 8, 2013 Abstract This paper is about the color proportion of each bag of M&Ms®. Now even though the factory has a claim of the each bag being grouped off into a certain percentage of each color, the results are not always the same. In fact, I will show through random selection process that M&Ms® brand candies each have a different number of candies in the bag and from that a different percentage of each color represented. I will use different statistical formulas and hypotheses to state my claim and give evidence as it relates to the results of the claim. This study was conducted in 5 different parts, by a total of 74 people, each person obtaining bags of M&Ms® in the same manner but in different locations. Title The purpose of this report is to examine the packaging process for plain 1.69 ounce bags of M&Ms®. . Part 1 For the first part of this project I went to three different stores, (Publix, Piggly Wiggly, and Trinity Gift Shop) and purchased a bag of plain 1.69oz M&Ms® at each store. Purchasing a single bag at a random store assured the process of obtaining a true random sample. After purchasing each bag of M&Ms®, I separated each bag by color and charted the results into an Excel spreadsheet: | Blue | Orange | Green | Yellow | Red | Brown | Num. of Candies in Bag | bag 1 | 2 | 14 | 12 | 8 | 10 | 11 | 57 | bag 2 | 7 | 20 | 7 | 7 | 9 | 9...
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...An Introduction to Matlab for Econometrics John C. Frain TEP Working Paper No. 0110 February 2010 Trinity Economics Papers Department of Economics Trinity College Dublin An Introduction to MATLAB for Econometrics John C. Frain. February 2010 ∗ Abstract This paper is an introduction to MATLAB for econometrics. It describes the MATLAB Desktop, contains a sample MATLAB session showing elementary MATLAB operations, gives details of data input/output, decision and loop structures, elementary plots, describes the LeSage econometrics toolbox and maximum likelihood using the LeSage toolbox. Various worked examples of the use of MATLAB in econometrics are also given. After reading this document the reader should be able to make better use of the MATLAB on-line help and manuals. Contents 1 Introduction 1.1 1.2 Preliminaries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The MATLAB Desktop . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2.1 1.2.2 1.2.3 1.2.4 1.2.5 1.2.6 1.2.7 1.2.8 1.2.9 ∗ Comments 4 4 6 6 7 8 8 9 9 9 The Command Window . . . . . . . . . . . . . . . . . . . . . . . . The Command History Window . . . . . . . . . . . . . . . . . . . The Start Button . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Edit Debug window . . . . . . . . . . . . . . . . . . . . . . . . The Figure Windows . . . . . . . . . . . . . . . . . . . . . . . . . . The Workspace Browser . . . . . . . . . . . . . . . . . . . . . . . . The...
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...To analyze the Indian Commercial Aerospace market for Cobham India Pvt. Ltd By Satyendra Shukla 11P224 Management Development Institute Gurgaon 122 001 May, 2012 To analyze the Indian Commercial Aerospace market for Cobham India Pvt. Ltd By Satyendra Shukla Under the guidance of Mr. Lee Griffiths Director India Cobham India Pvt. Ltd. Management Development Institute Gurgaon 122 001 May, 2012 Executive Summary The project aims at to analyze the Indian Aerospace Industry and try to find out through secondary research the growth prospective of the same. Cobham has many capabilities that could be exploited to supply equipments and spares for the MRO (maintenance, repair and overhaul) industry in India. So we used the various reports and predictions available at the websites of Airport Authority of India, Directorate General of Civil Aviation, Ministry of Civil Aviation and websites of various airlines and MRO companies to understand the market dynamics. We came across various difficulties faced by them and also saw various opportunities lurking round the corner. We tried to estimate the fleet size of various airlines and the expected growth in next five years. Also the focus was given on the Non-Scheduled operators as their numbers is rising at a lightening pace. We also had the projections made by Ministry of civil aviation about the growth of passenger volumes in the future, and all the future growths...
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...Nestlé Malaysia Berhad Lecturer : Mrs Faoziah Idris Prepared by:- 1. | Nur Shazleen binti Abdul Rahman | 809155 | 2. | Halim bin Hamim | 810274 | 3. | Noor’aishah binti Mohamad | 812016 | 4. | Nor Hadzalina binti Sukarseh | 812020 | 5. | Ahmad Naim bin Ismail | 812891 | TABLE OF CONTENT | Content | Page | 1. | INTRODUCTION | 4-5 | 2. i. ii. | BALANCE SHEETBalance Sheet For Nestle (M) Berhad Ended December 2007 – 2011 Fig. 1 : Balance Sheet of Nestlé Malaysia Fig. 2 : The Movement of Total Equity & Liabilities from 2007 to 2011 for Nestlé Malaysia Balance Sheet Analysis | 5 6 7 7 | 3. i. ii. iii. | PROFIT and LOSSProfit and Loss For Nestle (M) Berhad Ended December 2007 – 2011 Fig. 3 : Profit and Loss5 years Statistic: Profit for the year attribute to Shareholder Fig. 4 : 5 years Statistic: Profit for the year attribute to ShareholderProfit and Loss Analysis | 7-8 8 8 9 | 4.i.ii. | CASH FLOW Cash Flow Statement Nestle (M) Berhad for the year ended 31 December (2007 – 2011) Fig. 5 : Cash Flow Statement Fig. 6 : Net Cash from Operations Increasing Cash Flow Analysis | 9 10-11 11 11-12 | 5. i. a. b. c. d. e. f. g. | PERFORMANCE ANALYSIS RATIOFinancial Ratio for Nestle (M) Berhad Fig. 7 : Financial Ratio Fig. 8 : Calculation of Financial Ratio Current ratio The Quick Ratio Fig. 9 : Current Ratio & Quick RatioCurrent...
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...milma - The goodness Kerala Wakes upto milma Annual Report 2011-2012 Annual milma Report 2011-12 Kerala Co-operative MilK MarKeting Federation ltd. Thiruvananthapuram 1 milma - The goodness Kerala Wakes upto milma CONTENTS 1. 2. 3. 4. 5. 6. 7. Board of Directors AGM Notice Report for the year 2011-12 Review of Operations Centrally Sponsored Schemes Welfare and Developments Activities by Regional Unions KCMMF Units A. Central Products Dairy B. C. 8. Cattle Feed Plant, Pattanakkad & Malampuzha Milma Training Centre, Trissur Annual Divisions at KCMMF Headquarters A. Information Technology B. C. E. F. Purchase Quality Control Marketing Projects Report D. Milk Procurement & Input 2011-12 G. Human Resource Development H. Audit I. 9. 10. 11. 12. Finance Future Plans Acknowledgements Abstract of the Audited Accounts for the Year 2009 – 2010 Balance Sheet as on 31.03.2011 & 31.03.2012(Provisional) with schedules 13. Profit and Loss Account for the year 2010 – 2011 & 2011 – 2012 (Provisional) with schedules 3 milma - The goodness Kerala Wakes upto milma Annual 4 Report 2011-12 milma - The goodness Kerala Wakes upto milma BOARD OF DIRECTORS FOR THE YEAR OF REPORT (As on 31.03.2012) Sri. P.T. Gopala Kurup Sri. T. K. Manojkumar IAS Sri. P.P. Gopinatha Pillai Sri. Kallada Ramesh Sri. M.T.Jayan Sri. B.S.Khanna Sri. S. Ayyappan Nair Adv. S. Sadasivan Pillai Sri. P.A. Balan Master Sri...
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...write “R for Beginners”. Special thanks to Jorge Ahumada for the Spanish translation. c 2002, 2005, Emmanuel Paradis (12th September 2005) Permission is granted to make and distribute copies, either in part or in full and in any language, of this document on any support provided the above copyright notice is included in all copies. Permission is granted to translate this document, either in part or in full, in any language provided the above copyright notice is included. Contents 1 Preamble 2 A few concepts before starting 2.1 How R works . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.2 Creating, listing and deleting the objects in memory . . . . . . 2.3 The on-line help . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Data with R 3.1 Objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.2 Reading data in a file . . . . . . . . . . . . . . . . . . . . . . 3.3 Saving data . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.4 Generating data . . . . . . . . . . . . . . . . . . . . . . . . . 3.4.1 Regular sequences . . . . . . . . . . . . . . . . . . . . 3.4.2 Random sequences . . . . . . . . . . . . . . . . . . . . 3.5 Manipulating objects . . . . . . . . . . . . . . . . . . . . . . . 3.5.1 Creating objects . . . . . . ....
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...Martin Patel*), Dr. Catia Bastioli**), Dr. Luigi Marini**), Dipl.-Geoökol. Eduard Würdinger***) *) Utrecht University, Department of Science, Technology and Society (STS), Copernicus Institute, Padualaan 14, NL-3584 CH Utrecht, Netherlands; Phone: +31 30 253 7634; Fax: +31 30 253 7601; E-mail: m.patel@chem.uu.nl **) Novamont, Via Fauser 8, I-28100 Novara, Italy; Phone: +39 0321 699 611; Fax: +39 0321 699 600; E-mail: bastioli@materbi.com, marini@materbi.com ***) BIFA (Bavarian Institute of Applied Environmental Research and Technology), Am Mittleren Moos 46, D-86167 Augsburg, Germany; Phone: +49 821 7000-181; Fax: +49 821 7000-100; Email: ewuerdinger@bifa.de Table of Contents 1. INTRODUCTION 2. HISTORICAL OUTLINE 3. METHODOLOGY OF LCA 4. PRESENTATION OF COMPARATIVE DATA 4.1 STARCH POLYMERS 4.1.1 Starch polymer pellets 4.1.2 Starch polymer loose fills 4.1.3 Starch polymer films and bags 4.1.4 Starch nanoparticles as fillers in tyres 4.2 POLYHYDROXYALKANOATES (PHA) 4.3 POLYLACTIDES (PLA) 4.4 OTHER POLYMERS BASED ON RENEWABLE RESOURCES 4.5 NATURAL FIBRES 5. SUMMARISING COMPARISON 6. DISCUSSION 7. CONCLUSIONS 7.1 7.2 SUMMARY AND FURTHER ELABORATION OF FINDINGS OUTLOOK AND PERSPECTIVES 8. ACKNOWLEDGEMENTS 1 9. REFERENCES ANNEX 1: OVERVIEW OF ENVIRONMENTAL LIFE CYCLE COMPARISONS FOR BIODEGRADABLE POLYMERS INCLUDED IN THIS REVIEW ANNEX 2: CHECKLIST FOR THE PREPARATION OF AN LCA FOR BIODEGRADABLE PLASTICS a ABS ...
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...DETAILED PROJECT REPORT OF 2500 TCD SUGAR WITH 14 MW COGENERATION PLANT For OM SUGARS PVT LTD., BC – 132 LODGE ROAD, BOGARVES CAMP, BELGAUM By Ugar Consultancy Ltd., Ugar Khurd, Tq Athani Dist Belgaum MAY 2011 Contents EXECUTIVE SUMMARY HIGHLIGHTS OF THE PROJECT 1. 2. 3. 4. 5. 6. 7. INTRODUCTION NEED FOR THE PROJECT SUGAR CANE AVAILABILITY PRODUCT SALE POLICY TECHNO COMMERCIAL ASPECTS LOCATION AND SITE ASSOCIATED DETAILS TECHNICAL FEATURES (SPECIFICATIONS) OF MAJOR EQUIPMENTS 8. 9. 10. 11. 12. DESCRIPTION OF MAJOR PROCESS RISK ANALYSIS AND MANAGEMENT PROJECT COST ESTIMATION PROJECT IMPLEMENTATION SCHEDULE MANPOWER REQUIREMENT LIST OF ANNEXURES 13. ANNEXURE – I KERC / KPTCL POLICY LIST OF APPENDICES 14. 15. APPENDIX – I BAGASSE ANALYSIS APPENDIX – II CANE TRASH ANALYSIS 124 125 118 – 123 85 – 97 98 – 104 105 – 109 110 – 114 115 – 117 1–8 9 – 11 12 – 16 17 – 19 20 – 36 37 – 39 40 – 47 48 – 59 60 – 84 16. 17. APPENDIX – III RICE HUSK ANALYSIS APPENDIX – IV COAL ANALYSIS LIST OF DRAWINGS 126 127 18. DRAWING – I BAGASSE BALANCE – SEASON OPERATION 128 19. 20. 21. DRAWING – II STEAM BALANCE – SEASON OPERATION DRAWING – III POWER BALANCE – SEASON OPERATION DRAWING – IV STEAM BALANCE – NON CRUSHING OPERATION 129 130 131 22. DRAWING – V POWER BALANCE – NON CRUSHING OPERATION 132 23. DRAWING – VI HEAT & MASS BALANCE - SEASON OPERATION 133 24. DRAWING – VII HEAT & MASS BALANCE – NON CRUSHING SEASON 134 25. 26. 27...
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...[pic] |Quantitative Methods – MAT 540 | |Student Course Guide | |Prerequisite: MAT 300 | |INSTRUCTIONAL MATERIAL – Required | |( including all mandatory software) | |Taylor, B. M. (2010). Introduction to management science (10th ed.). Upper Saddle River, NJ: Pearson/Prentice Hall. | |Treeplan add-on for Excel. This software is available in the Open Lab at Strayer campuses, and can also be downloaded from the textbook's | |companion Website. http://wps.prenhall.com/bp_taylor_introms_10/112/28870/7390752.cw/-/7390754/index.html | | | |COURSE DESCRIPTION | |Applies quantitative methods to systems management...
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...Budget Preview 2012-13 Difficult to deliver the perfect balance of growth and fiscal rectitude Emkay Global Financial Services Ltd. Dhananjay Sinha Co – Head, Institutional Research Economist and Strategist +91 22 6624 2435 dhananjay.sinha@emkayglobal.com 7 March, 2012 1 Difficult to deliver the perfect balance of growth and fiscal rectitude § Challenging backdrop: The backdrop for FY13 budget is challenging given the context of slowing growth, lack of investment momentum and a difficult fiscal scenario of subdued tax and non-tax revenue generation even while various subsidy burden are ballooning. Toping these is a much weaker Central government after recent state elections debacle of Congress party, which weaken its ability to take critical reform measures § Multiple priorities amid rising structural imbalances: Fiscal imbalances and falling domestic savings pose significant structural challenges. We will look for a credible commitment towards fiscal consolidation, ways to raise tax revenue (200bp hike in excise duty or expanding the tax base by including more services), reduction in subsidy burden by raising prices of public utilities and services, ways to address the recurring deficits across multiple public sector undertaking and departments and most importantly providing the focus on capital spending and infra sectors. While implementation of GST is most ideally suited in the current context we think it is unlikely to happen in this budget...
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...ALLIED AMERICAN UNIVERSITY Personalized. Flexible. Dedicated. Online Programs – Individual Support – Open Enrollment – Ease of Transfer Credits UNIVERSITY CATALOG 2013 Seventh Edition 22952 Alcalde Drive, Laguna Hills, CA 92653 Phone: (888) 384-0849 ∼ Fax: (949) 707-2978 7:00 A.M. – 5:00 P.M. (Monday – Friday) Email: info@allied.edu Website: www.allied.edu KEY STAFF AND FACULTY Charlotte Hislop, Ph.D. Candidate, President/CEO Bonny Nickle, Ed.D., Provost Eric Sharkey, M.Ed., Director of Education Bill Luton, Ph.D., Director of Assessment and Dean of Business Carlo Tannoury, Ph.D. Candidate, Dean of Computer Information Systems Patricia Drown, Ph.D., Dean of Criminal Justice and General Studies C.J. Bishop, M.B.A., Institutional Research Frank Vazquez, Operations Director Parrish Nicholls, J.D., Director of Compliance Lindsay Oglesby, Admissions Director Abby Dolan, B.A., Registrar Sasha Heard, M.B.A., Student Services Manager Barbara Jobin, B.S.B.A., Career Center Manager Hugo Aguilar, B.A., Chief Financial Officer Richard Madrigal, B.A., Financial Aid Officer As a prospective student at Allied American University, you are encouraged to review this catalog prior to signing an enrollment agreement. You are also encouraged to review the student performance fact sheet which must be provided to you prior to signing an enrollment agreement. This catalog is not a contract between the student, AAU, or any party or parties. Reasonable effort was made at the time this document...
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...Technology in Computer Science and Engineering by cyril nwoba (Roll no. 54373) and Prashant Trivedi (Roll no. 107cs015) Under the guidance of : Prof. B. Majhi Department of Computer Science and Engineering National Institute of Technology Rourkela Rourkela-769 008, Orissa, India 2 . Dedicated to Our Parents and Indian Scientific Community . 3 National Institute of Technology Rourkela Certificate This is to certify that the project entitled, ‘Student Attendance System Based On Fingerprint Recognition and One-to-Many Matching’ submitted by Rishabh Mishra and Prashant Trivedi is an authentic work carried out by them under my supervision and guidance for the partial fulfillment of the requirements for the award of Bachelor of Technology Degree in Computer Science and Engineering at National Institute of Technology, Rourkela. To the best of my knowledge, the matter embodied in the project has not been submitted to any other University / Institute for the award of any Degree or Diploma. Date - 9/5/2011 Rourkela (Prof. B. Majhi) Dept. of Computer Science and Engineering 4 Abstract Our project aims at designing an student attendance system which could effectively manage attendance of students at institutes like NIT Rourkela. Attendance is marked after student identification. For student identification, a fingerprint recognition based identification system is used. Fingerprints are considered to be the best and fastest method for biometric identification. They...
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