Number of labor hours per week Q = L –L2/800 MCL=$20 P= $40= therefore MR=$40 Part A: A firm maximizes profit when it equates MRPL = (MR) *(MPL) = MCL MPL= dQ/dL =1 – L/400 Therefore (40)*(1-L/400) = 20. The solution is L = 200. In turn‚ Q = 200 – (2002/800). The solution is Q = 150. The firms profit is= PQ – (MC)L= ($40) (150) – ($20) (200) = $2‚000 Part B Price increase to $50: Q = Dresses per week L= Number of labor hours per week Q = L –L2/800 MCL=$20 P= $50 A firm maximizes
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UNIVERSITY OF THE EAST Manila Indirect Feedback in the writing Process A term paper in EN-112 College Reading and Writing Submitted to: Prof. Francis Dizon Submitted by: Angel Grace C. Castellano HR2A Teacher Written Feedback for L2 Learners’ Writing Development Vol 12‚ No 1 (2012) Silpakorn University Journal of Social Sciences‚ Humanities and Arts I. Introduction “English is an art that can only be mastered by practice.” As Ramarao bobby said. To be able to master English
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A Brief History of Intel’s desktop processor CPU is the most important part in computers. If compared to a person‚ computer’s heart is CPU. Processing information in accordance with its word length‚ CPU can be divided into: 4-bit processors‚ 8-bit processors‚ 16-bit processors‚ 32-bit processors and 64-bit processors‚ etc. Intel Corporation was founded in 1968‚ and then became a leader of the IT Industry. November 15th‚ 1971‚ Intel’s engineer Hoff invented the world’s first commercial
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hypothesis: Issues and implications. Harlow‚ England: Longman. Krashen‚ S.D. (1981). Second language acquisition and second language learning. New York‚ NY: Pergamon Press. Lessard-Clouston‚ M. (1997‚ December). Language learning strategies: An overview for L2 teachers. The Internet TESL Journal‚ 3(12). Lucas‚ T.‚ & Katz‚ A. (1994). Reframing the debate: The roles of native languages in English-only programs for language minority students. TESOL Quarterly‚ 28(3)‚ 537–561. Marzano‚ R.J. (1998). A theory-based
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EFFECTIVENESS OF MOTHER TONGUE AS TOOL FOR MODERN TEACHING Chapter I INTRODUCTION Background of the study Everyone knows that a big part of teaching is communication. It is more than just imparting knowledge to students‚ but it is also about effective communication and that when it is missing‚ everything is nonsense inside the classroom. The communication of teachers plays the key role in teaching which depends upon the language and so effect on the learning of students. This study
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FEA Report Guidelines Presenting your finite element analysis well is as important as doing your FEA correctly‚ no matter whether you study at university or do your job in career. How well you present an FEA will be assessed in this unit. The bottom line is to persuade readers to trust your FE results. As there are no formulas for the readers to check your calculations‚ writing a good FEA report sounds particularly important. Generally‚ a good FEA report should cover the following contents. Introduction
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length times width‚ as A1. The resulting output‚ or sum of all A values‚ will be calculated. The following is a list of the required input and resulting output. RoomName as String L1 as Float L2 as Float L3 as Float L4 as Float W1 as Float W2 as Float W3 as Float W4 as Float A1=L1*W1 A2=L2*W2 A3=L3*W3 A4=L4*W4 TotalSqFt=A1+A2+A3+A4 Using this design‚ The following pseudocode has been produced: Main module Declare Room1Name as String Declare Room2Name as String Declare
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PHY 113: Speed of Sound- Resonance Tube Student’s name: Ilian Valev Lab partners: Jayanthi Durai‚ Susan Berrier‚ Chase Wright Date of experiment: April 15‚ 2010 Section SLN: 17742 TA’S name: Alex Abstract: This experiment tried to determine the speed of sound waves. To determine the speed‚ a resonance tube full of water was used and two different tuning forks of known frequency. Each fork was struck above the water
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buying |Student: |Dennis W. Haupt | |Course: |CT-101 | |Assignment: |Portfolio Project | |Student ID: |682442
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manipulation‚ or processing of a new word will help in the learning of that word”. The present study is designed to investigate and contrast the prediction permitted by two frameworks that have strived to perform the format of elaborate processing for L2 vocabulary learning: Involvement Load Hypothesis (Laufer & Hulistijn‚ 2001) and Technique Feature Analysis (Nation & Webb‚ 2011). The goal is to reveal which of the two frameworks accommodate a greater explanatory power in foreseeing the effectiveness
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