...BUSI 600 Liberty University September 20, 2013 Discussion Board Forum 5 This paper will attempt to answer varies questions from chapters nine and ten. The questions asked and answered pertain to ethical problems, experiments and their designs. After reading this paper you should know that there are some ethical issues when it comes to experimental research. You should also understand and become aware of the steps you should take to accomplish a well-planned experiment (Cooper & Schindler, 2011, p.206). There is information about the types of experimental designs and how they are different. Also discussed are the three communication approaches. Question 9.4 What ethical problems do you see in conducting experiments with human subjects? The question of “what ethical problems do you see in conducting experiments with human subjects?” is truly a multi-layered opinionated question that forces a person to ask “what would be the most responsible way society could condone such acts and what could be the worst case scenario?” The first step in analyzing this question is to define ethics. Ethics is defined as “norms or standards of behavior that guide moral choices about our behavior and our relationships with others” (Cooper & Schindler, 2011, p. 32). The key issues of ethics in experimentation relate to benefits, deception, informed consent, debriefing participants, and the right to privacy (Cooper & Schindler, 2011). It is important that the researcher “discuss the study’s...
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...Priyanka Palamuru SCSU Design of Experiment on a Catapult Taguchi Design Design of Experiment on a Catapult Taguchi Design Objective The objective of this project is to analyze the effect of various factors controlling the catapult model using Design of experiments (DOE). Design : Taguchi Software : Minitab17 Introduction Design of experiments (DOE) is a method of finding the important and less important factors involved in an experiment through a number of steps such as information gathering and mathematical calculations either manually or using a software. It is considered as one of the accurate techniques and widely used in various fields such as engineering, healthcare, education, etc. It is also known for its quality improvement, efficiency, cost and effectiveness. Catapult experiment is generally used to demonstrate DOE as it has the simplest setup and meets the requirements for this method. Taguchi Design 1. Define the process objective i.e. whether we need the output to be maximum or nominal or smaller. In this experiment, it is given as nominal the best. 2. Determine the factors which affect the outcome and number of levels the factors can vary for performing the experiment. Here, the factors are Start angle, Stop position, Cup Position and Peg position and has three levels each. 3. Select the suitable orthogonal array based on number of factors and levels, prepare a table with number of experiments and conditions to...
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...Design a Marketing Experiment Sample Report Introduction This report has the purpose to develop a marketing experiment for an energy drink by a Peruvian Beverage Company. The campaign is a tv advertising campaign focus on the pros to drink this kind of beverage when need an extra boost for athletes. With the common concerned about healthy problems caused due to their use, benefits from their carbs content become in an important point. This experiment will be a before-after design experiment. Experiment Design In this experiment, the independent variable is increased advertising in the form of a tv adevertising campaign while the dependent variable observed here is sales. The experiment will be run in Miraflores, a district in Lima (peruvian capital city). The control market observed will be San Isidro (Lima’s district as well). The test and control markets were selected caused their similarities (population and socioeconomic status). Miraflores and San Isidro, both have a population around 60,000. Since both districts will be exposed to the experiment, the sample size would be big enough to be statistically significant. Since it s a before-after design experiment, sales will be captured for control and test markets for a 3 month average from Jan –March. The experiment will be run for the next three months from April to June. The variations or changes in sales while doing the experiment will be then used to calculate the lift in sales. Anticipated Issues Recorded...
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...Robust Design Method s Since 1960, Taguchi methods have been used for improving the quality of Japanese products with great success. During the 1980’ many companies finally realized that the old s, methods for ensuring quality were not competitive with the Japanese methods. The old methods for quality assurance relied heavily upon inspecting products as they rolled off the production line and rejecting those products that did not fall within a certain acceptance range. However, Taguchi was quick to point out that no amount of inspection can improve a product; quality must be designed into a product from the start. It is only recently that companies in the United States and Europe began adopting Taguchi’ robust design approaches in an effort to improve product s quality and design robustness. What is robust design? Robust design is an “engineering methodology for improving productivity during research and development so that high-quality products can be produced quickly and at low cost” (Phadke, 1989). The idea behind robust design is to improve the quality of a product by minimizing the effects of variation without eliminating the causes (since they are too difficult or too expensive to conrol). His method is an off-line quality control method that is instituted at both the product and process design stage to improve product manufacturability and reliability by making products insensitive to environmental conditions and component variations. The end result is a robust design, a design...
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...Genichi Taguchi and Taguchi Methods - Practical, Rapid Quality Cohort 2, Wooshik Jung Taguchi methodology is concerned with the routine optimisation of product and process prior to manufacture, rather than emphasizing the achievement of quality through inspection. Instead concepts of quality and reliability are pushed back to the design stage where they really belong. The method provides an efficient technique to design product tests prior to entering the manufacturing phase. However, it can also be used as a trouble-shooting methodology to sort out pressing manufacturing problems. Here are some of the major contributions that Taguchi has made to the quality improvement world: 1. The Loss Function - Taguchi devised an equation to quantify the decline of a customer's perceived value of a product as its quality declines. Essentially, it tells managers how much revenue they are losing because of variability in their production process. It is a powerful tool for projecting the benefits of a quality improvement program. Taguchi was the first person to equate quality with cost. 2. Orthogonal Arrays and Linear Graphs - When evaluating a production process analysis will undoubtedly identify outside factors or noise which cause deviations from the mean. Isolating these factors to determine their individual effects can be a very costly and time consuming process. Taguchi devised a way to use orthogonal arrays to isolate these noise factors from all others in a cost...
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...LINK:_ http://www.scielo.br/scielo.php?pid=S1516-14392008000200008&script=sci_arttext Process parameter optimization for fly ash brick by Taguchi method Prabir Kumar Chaulia*; Reeta Das Central Mechanical Engineering Research Institute, Durgapur–713209, India ABSTRACT This paper presents the results of an experimental investigation carried out to optimize the mix proportions of the fly ash brick by Taguchi method of parameter design. The experiments have been designed using an L9 orthogonal array with four factors and three levels each. Small quantity of cement has been mixed as binding materials. Both cement and the fly ash used are indicated as binding material and water binder ratio has been considered as one of the control factors. So the effects of water/binder ratio, fly ash, coarse sand, and stone dust on the performance characteristic are analyzed using signal–to–noise ratios and mean response data. According to the results, water/binder ratio and stone dust play the significant role on the compressive strength of the brick. Furthermore, the estimated optimum values of the process parameters are corresponding to water/binder ratio of 0.4, fly ash of 39%, coarse sand of 24%, and stone dust of 30%. The mean value of optimal strength is predicted as 166.22 kg.cm–2 with a tolerance of ± 10.97 kg.cm–2. Confirmatory experimental result obtained for the optimum conditions is 160.17 kg.cm–2. Keywords: optimization, compressive strength, fly ash brick,...
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...QUALITY ENGINEERING DESIGN FOR WEB-BASED CATAPULT BY Mohammed Mujeeb Ahmed khan SUBMITTED TO PROFESSOR K. M. RAGSDELL FOR CREDIT IN EMGT-475: QUALITY ENGINEERING Contents 1. Introduction 1.1. An overview of Quality Engineering 1.2. Problem description P diagram Quality characteristics Control factors Noise factors Mathematical Model of Crystal Ball 2. Method and Experimental plan The static experiment The dynamic experiment Fast Diagram Fault tree Diagram 3. Conclusions 4. References 5. Annexure Static Experiment Analysis of means Analysis of Variance Dynamic experiment Confirmation Experiment 2 1. Introduction The Taguchi system of Quality Engineering is a philosophy and a set of tools and techniques to design and deliver high quality, low cost products in a short time. The foundation of this system was laid by Dr. Genichi Taguchi in Japan. In the decades that followed, Dr. Taguchi’s techniques were applied to an increasing number of applications to solve real world problems. The technique was introduced to the western world in the 1980s, and it quickly created a paradigm shift in the perception of quality. 1.1. An overview of Quality Engineering System: Product Parameter Design: Product parameter design is optimizing the product parameters to give the desired performance. A quality characteristic is chosen whose...
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...Taguchi methods Taguchi methods are statistical methods developed by Genichi Taguchi to improve the quality of manufactured goods and, more recently, to biotechnology [1], marketing and advertising. Taguchi methods are considered controversial among some traditional Western statisticians but others accept many of his concepts as being useful additions to the body of knowledge. Taguchi's principal contributions to statistics are: 1. Taguchi loss-function; 2. The philosophy of off-line quality control; and 3. Innovations in the design of experiments. [pic]Loss functions Taguchi's reaction to the classical design of experiments methodology of R. A. Fisher was that it was perfectly adapted in seeking to improve the mean outcome of a process. As Fisher's work had been largely motivated by programmes to increase agricultural production, this was hardly surprising. However, Taguchi realised that in much industrial production, there is a need to produce an outcome on target, for example, to machine a hole to a specified diameter or to manufacture a cell to produce a given voltage. He also realised, as had Walter A. Shewhart and others before him, that excessive variation lay at the root of poor manufactured quality and that reacting to individual items inside and outside specification was counter-productive. He therefore, argued that quality engineering should start with an understanding of the cost of poor quality in various situations. In much conventional industrial...
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...be bolder. As a conclusion, the power of randomization is about marketing. The author mentions a method known as Taguchi. Google this term to get more insight on this and write a synopsis of this technique. Taguchi methods are statistical methods developed by Genichi Taguchi to improve the quality of manufactured goods, and more recently also applied to engineering, biotechnology, marketing and advertising. Professional statisticians have welcomed the goals and improvements brought about by Taguchi methods, particularly by Taguchi's development of designs for studying variation, but have criticized the inefficiency of some of Taguchi's proposals. Give your thoughts about the number of tests run by Captial One in 2006. Is it possible for one company to do this much testing? I think it’s possible. In fact ,Captial One has been running randomized tests for a long time. Way back in 1995, it ran an even larger experiment by generating a mailing list of 600,000...
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...1 Motivating GLMMs I briefly summarize the motivations for GLMMs (in linguistic modeling): • The Language-as-fixed-effect-fallacy (Clark 1973 following Coleman 1964). If you want to make state- ments about a population but you are presenting a study of a fixed sample of items, then you cannot legitimately treat the items as a fixed effect (regardless of whether the identity of the item is a factor in the model or not) unless they are the whole population. – Extension: Your sample of items should be a random sample from the population about which claims are to be made. (Often, in practice, there are sampling biases, as Bresnan has discussed for linguistics in some of her recent work. This can invalidate any results.) • Ignoring the random effect (as is traditional in psycholinguistics) is wrong. Because the often significant correlation between data coming from one speaker or experimental item is not modeled, the standard error estimates, and hence significances are invalid. Any conclusion may only be true of your random sample of items, and not of another random sample. • Modeling random effects as fixed effects is not only conceptually wrong, but often makes it impossible to derive conclusions about fixed effects because (without regularization) unlimited variation can be attributed to a subject or item. Modeling these variables as random effects effectively limits how much variation is attributed to them (there is an assumed normal distribution on random effects)...
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...were on the diet for a fixed period of time were recorded as follows. Fat Content of Diet 15-24 25-34 Age 35-44 45-54 55-64 1 Extremely Low 0.73 0.86 0.94 1.40 1.62 2 Fairly Low 0.67 0.75 0.81 1.32 1.41 3 Moderately Low 0.15 0.21 0.26 0.75 0.78 a) What was the blocking variable? Why do you think this blocking variable was used? b) Give the model for the experiment. What is the additional major assumption that is needed here? How could you do a very rough check of whether it was violated? c) Given that SSTO = 2.75856 set up the ANOVA table and test whether the mean reduction in lipid level differs for the 3 diets. Use a = .01. d) If appropriate, carry out all pairwise comparisons between the 3 diet means. Use a = .01. Summarize your results in words and in a graphical line summary. e) What is the relative efficiency of the RBD in this case? Would you recommend using the same blocks in a future experiment? Explain. Verify your results using SAS. The data is on my web page under ch2lpr07.dat col 1 has the response col 2 has "time elapsed since graduation" col 3 has training method 2. -An experiment was conducted to evaluate the effect of timing of nitrogen application to the soil (early, optimum, late) and 2 different levels of nitrogen fertilizer (1 , 2). 3...
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...were on the diet for a fixed period of time were recorded as follows. Fat Content of Diet 15-24 25-34 Age 35-44 45-54 55-64 1 Extremely Low 0.73 0.86 0.94 1.40 1.62 2 Fairly Low 0.67 0.75 0.81 1.32 1.41 3 Moderately Low 0.15 0.21 0.26 0.75 0.78 a) What was the blocking variable? Why do you think this blocking variable was used? b) Give the model for the experiment. What is the additional major assumption that is needed here? How could you do a very rough check of whether it was violated? c) Given that SSTO = 2.75856 set up the ANOVA table and test whether the mean reduction in lipid level differs for the 3 diets. Use a = .01. d) If appropriate, carry out all pairwise comparisons between the 3 diet means. Use a = .01. Summarize your results in words and in a graphical line summary. e) What is the relative efficiency of the RBD in this case? Would you recommend using the same blocks in a future experiment? Explain. Verify your results using SAS. The data is on my web page under ch2lpr07.dat col 1 has the response col 2 has "time elapsed since graduation" col 3 has training method 2. -An experiment was conducted to evaluate the effect of timing of nitrogen application to the soil (early, optimum, late) and 2 different levels of nitrogen fertilizer (1 , 2). 3...
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...International Journal for Research in Education (IJRE) Vol.1, Issue: December: 2012 ISSN: Research Paper-Education EFFECT OF YOGA EXERCISES ON ACHIEVEMENT, MEMORY AND REASONING ABILITY Nilesh Gajjar Assistant Prof. SVS Edu. College, P. G. Dept., Nagalpur, Mehsana. ABSTRECT Now, we are living in the world of 21st century which is known as the world of ‘Mental Stress’ in these circumstances, knowledge amplifies day by day. There is a Knowledge explosion in the world, hence each and every person tries to get this Knowledge by new & most recent Medias & they also use it. In this direction there is a qualitative growing up in the person for in receipt of Knowledge & its use by appreciative. In the same way, we notice the qualitative addition in the Educational organization, teachers, & the students, which are going to get Knowledge. In these circumstances, teachers & students feel a perplexity. So there is a question against us that, this growth in the education organization, teachers & in the students will have no proper direction for the Academic achievement of students. If we get an affirmative answer of this question, we must do the fundamental change in the teaching learning process of Education. In the present day, each person including the students and the teachers face anxiety, frustration, etc. Due to these factors, the students cannot keep much interest in their study, academic activity & their performance in the entire exam. Consequently, in this way it is very...
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...Introduction Surveys and experiments can prove to be an extremely valuable tool that organizations can use to gain pertinent information. In order to effectively utilize these tools firms must pay careful attention to the design, methodology, and ethical issues of the experiment chosen. Among these issues are variables in conducting experiments with human subjects, design elements affecting the accuracy of the experiment, and questions of methodology. The information below addresses each of these concerns and describes how experiments can become a valuable tool for organizations to plan for the future. Question 9.4 – Ethical Problems in Conducting Experiments with Human Subjects After choosing the experimental design, the researcher must then select and assign participants for the study. According to Cooper and Schindler (2014), participants selected for an experiment should be members of the population in which the researcher wishes to make interpretations about. When choosing to conduct experiments with humans as the main subjects, researchers should be aware of various ethical concerns that may arise. When ethical problems are debated in the research design process, most people often think first about defending the rights of the participant. Whether observations are taken from an interview, survey, or an experiment, the participant has many rights that need to be protected during the research process. As discussed in the text, research must be designed in a way...
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...and expectations survey to assess how students perceive the nature of physics experiments in the contexts of laboratory courses and the professional research laboratory. The Colorado Learning Attitudes about Science Survey for Experimental Physics (E-CLASS) evaluates students’ shifts in epistemology and affect at the beginning and end of a semester. Also, at the end of the semester, the E-CLASS assesses students’ reflections on their course’s expectations for earning a good grade. By basing survey statements on widely embraced learning goals and common critiques of teaching labs, the E-CLASS serves as an assessment tool for lab courses across the undergraduate curriculum and as a tool for PER research. We present the development, evidence of validation, and initial formative assessment results from a sample that includes 45 classes at 20 institutions. We also discuss feedback from instructors and reflect on the challenges of large-scale online administration and distribution of results. I. INTRODUCTION Laboratory courses offer significant opportunities for engagement in the practices and core ideas of science. Laboratory course environments typically have apparatus, flexible classroom arrangements, low student/teacher ratios, and opportunities for collaborative work that promote students’ engagement in a range of scientific practices (e.g., asking questions, designing and carrying out experiments, analyzing data, developing and refining models, and presenting results to peers)...
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