on research behavior has slowly provided a more complete and critical understanding of research practices, particularly in the biomedical and behavioral sciences. The results of this research suggest that some earlier assumptions about irresponsible conduct are not reliable, leading to the conclusion that there is a need to change the way we think about and regulate research behavior. This paper begins with suggestions and support for more precise definitions of the terms “responsible
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amount of chemicals. Introduction In this lab that contained various experiments, we explored the theory of how groundwater and drinking water can become contaminated by the inappropriate disposal of different household products. We used three sample products during this experiment which is: vinegar, detergent, and oil. After groundwater becomes contaminated due to harmful human
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statistical distribution and to a hypothesis testing procedure that produces a statistic that is approximately distributed as the chi-square distribution. In this entry the term is used in its second sense. PEARSON’S CHI-SQUARE The original chi-square test, often known as Pearson’s chi-square, dates from papers by Karl Pearson in the earlier 1900s. The test serves both as a ”goodnessof-fit” test, where the data are categorized along one dimension, and as a test for the more common ”contingency table”
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elections won by the taller candidate to be slightly above 50 percent, suggesting that there is, in fact, a bias toward the taller candidate. Introduction Research suggests that throughout modern and ancient cultures, selection of leaders with more dominant physical traits is prevalent. However, the collective process that leads a voter to choose one candidate over another in a presidential election can depend on a number of variables. Is it then equally likely for a presidential candidate
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descriptive studies, it must minimize bias and maximize reliability.” Discuss. Q4. Differentiate between exploratory and descriptive research. Q5. Write short notes on following: a. Extraneous variable b. Confounded relationship c. Research hypothesis d. Experimental and control group. Q6. Write short note on “experience survey” explaining fully its utility in exploratory
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Master of Arts RESEARCHER: MEBELO MUTEMWA COMPUTER NO.: 531004482 SUPERVISORS: DR. C. NG’ANDWE DR. C. MPHUKA DATE: AUGUST, 2012. * ABSTRACT This study seeks to investigate the extent to which the Fisher Hypothesis holds in Zambia. The Fisher hypothesis states that nominal interest rates move one-for-one with expected inflation, leaving the real rate of interest unaffected. Interest rate is an important variable for macroeconomists because it links the economy of today and the
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field data, collected by employing scientific survey techniques. Unless regularly updated, such data are the product of a one-time effort and have limited use beyond the situation that may have called for their collection. A student knows statistics more intimately as a subject of study like economics, mathematics, chemistry, physics, and others. It is a discipline, which scientifically deals with data,
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APPLICATION OF ARIMA MODEL FOR TESTING “SERIAL INDEPENDENCE” OF STOCK PRICES AT THE HSEC Cao Hao Thi – Pham Phu – Pham Ngoc Thuy School of Industrial Management HoChiMinh City University of Technology ABSTRACT The paper is an attempt to test the “serial independence” of stock prices at HoChiMinh City Stock Exchange Center (HSEC) in Vietnam by applying the ARIMA model for preliminary assessment in terms of its market efficiency. From findings derived, it appears to be
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about their methods of sample selecting and data analysis greatly reduces the validity and generalizability of their findings. Critique of Colella & Gejerman’s Study “Survivorship Health Information Counseling for Patients with Prostate Cancer” In their article, “Survivorship Health Information Counseling for Patients with Prostate Cancer,” (Colella & Gejerman, 2013) outline a quasi-experimental research design involving two sample groups (one experimental
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Global Journal of Researches in Engineering: G Industrial Engineering Volume 14 Issue 3 Version 1.0 Year 2014 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 2249-4596 & Print ISSN: 0975-5861 Improving Quality and Productivity in Manufacturing Process by using Quality Control Chart and Statistical Process Control Including Sampling and Six Sigma By Ghazi Abu Taher & Md. Jahangir Alam Khulna University of Engineering & Technology
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