kept steady for 3 h to reach equilibrium before test. The surface tension test was conducted at 20±1 oC and each measurement repeated for at least 3 times. 2.6. Statistical analysis A completely randomized design was used for statistical analysis. The data was statically analyzed by Analysis of Variance (ANOVA) and Duncan Multiple Range Test. The P level of < 0.05 was considered statistically
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References: Byar‚ M.D.‚ David P.‚ et al "Randomized Clinical Trials." The New England Journal of Medicine. Vol 295 No.2 (1976): p 74-80 Code of Federal Regulations Helms‚ Robert. "No Charges Filed: The Manslaughter of Jesse Gilsinger" March 2000. Retrieved November 10‚ 2000‚ from http://www.geocities
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the CPhT within the clinical trial pharmacy team we hope to better understand the way clinical trials are conducted. A clinical trial is used to evaluate the efficacy and safety of a new drug or a new medical procedure (Merrill‚ 2013‚ p. 205) and randomized controlled trials are the most common type of trial conducted in clinical
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A choice experiment is a stated preference method based on demand‚ welfare and consumer theory (Lancaster‚ 1966) and random utility model (RUM) developed by McFadden (1974). It was first developed for marketing and transportation related studies‚ but used extensively in the valuation of environmental amenities (Bennett and Blamey‚ 2001). It allows the valuation of changes in welfare‚ or policies relating to their level of provision. In CE‚ sets of choices made up of alternative outcomes are based
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Evaluating the Impact of Movie Piracy on the Tamil Movie Industry Business Research Methodology Report MS Table of Contents Background description of the problem...................................................................................3 Main Research Problem............................................................................................................4 Scope of Research.................................................................................
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Online Learning: Does It Help Low-Income and Underprepared Students? Shanna Smith Jaggars January 2011 CCRC Working Paper No. 26 A WORKING PAPER IN THE CCRC ASSESSMENT OF EVIDENCE SERIES Across the first year of a major grant from the Bill & Melinda Gates Foundation‚ with supplemental funding from Lumina Foundation for Education‚ CCRC has gathered and synthesized a large body of research evidence regarding strategies that may improve the success of students who attend community college. Working
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When to Use One-Way‚ Single Factor ANOVA In a manufacturing or service environment‚ you might wonder if changing a formula‚ process or material might deliver a better product at a lower cost. Saving a penny a pound on five million pounds a month can really add up. Saving ten minutes of wait time in hospital might add $100‚000 to the bottom line and deliver better patient outcomes. Comparing two or more drug formulations might pinpoint the best drug for a desired result. How can you compare the
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0 An Application of Lean Six Sigma To Improve The Assembly Operations At A Wireless Mobile Manufacturing Company David Woo‚ Holly Wong A thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Applied Science in Industrial Engineering Supervisor: Viliam Makis Department of Mechanical and Industrial Engineering University of Toronto March 2007 Abstract This thesis project is the focus of our final year MIE496Y1Y thesis course. The purpose of the
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SPSS Basics for One-way ANOVA As an illustration of the process‚ consider the data given in Example 11-8‚ pp. 593 – 595‚ of Bluman’s Elementary Statistics: A Brief Version. Problem Statement: A researcher wishes to try three different techniques to lower the blood pressure of individuals diagnosed with high blood pressure. The subjects are randomly assigned to three groups; the first group takes medication‚ the second group exercises‚ and the third group follows a special diet. After four weeks
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3+ groups 2- Var#6 bonus How long was your current or last relationship? Months___ Quantitative 2- groups 3+ groups 2-groups RH#1: Relationship between Core variable and Variable #1 Statistic you’ll use 2BG ANOVA 2WG ANOVA r 2x2 X² State RH: (using appropriate terms for the statistic you’ll be using) RH: Participants who are in the two parent group for family type will have the highest interpersonal trust scores; participants
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