Testing statistical significance is an excellent way to identify probably relevance between a total data set mean/sigma and a smaller sample data set mean/sigma‚ otherwise known as a population mean/sigma and sample data set mean/sigma. This classification of testing is also very useful in proving probable relevance between data samples. Although testing statistical significance is not a 100% fool proof‚ if testing to the 95% probability on two data sets the statistical probability is .25% chance
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A Study on Gugo and Okra as Homemade Shampoo A Research Done by: Francine Faye A. Jumaquio Majaline Faye A. Tolentino Romer T. Nepumoceno Talavera National High School Talavera Nueva Ecija A Study on Gugo and Okra as a Homemade Shampoo Claudine M. Lajara I-Rosal Introduction This study was conducted to determine the effectiveness of a homemade shampoo out of the native Gugo‚ scientific name Entada phaseuoliodes and Okra‚ scientific name Abelomoschus Esculentus L. in making
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Copyright 1983 by the American Psychological Association‚ Inc. Statistical Significance‚ Power‚ and Effect Size: A Response to the Reexamination of Reviewer Bias Bruce E. Wampold Department of Educational Psychology University of Utah Michael J. Furlong and Donald R. Atkinson Graduate School of Education University of California‚ Santa Barbara In responding to our study of the influence that statistical significance has on reviewers ’ recommendations for the acceptance or rejection of
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Statistical Significance Eric G Peppers HCS/438 Statistical Applications October 8‚ 2012 Gerald Rintala Statistical Significance Identification of a statistic as being significant is more difficult than the novice statistician may at first understand. At the most rudimentary definition‚ a significant finding simply means the statistic is reliable. This term states how convinced you are that a relationship or difference may exist. Bennett‚ et al states‚ “we determine statistical
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6.2.5 Statistical analysis The values are expressed as mean ± SEM. The statistical analysis was carried out by one-way analysis of variance using SPSS (version 17) statistical analysis program. Duncan’s post hoc multiple comparison tests were used to determine significant differences among groups. P < 0.05 was considered to be significant. 6.3 Results 6.3.1 Liver function tests Liver toxicity markers were assayed to assess hepatic injury. The activities of alkaline phosphatase (ALP)‚ acid phosphatase
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Homework Exercise 29 Grand Canyon University December 23‚ 2012 1. Were the groups in this study independent or dependent? Provide a rationale for your answer. Answer- The group studies were independent. They were being tested by gender‚ male and female. They were also not matched or paired with each other. 2. t = −3.15 describes the difference between women and men for what variable in this study? Is this value significant? Provide a rationale for your answer. Answer- The variable
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Significance of the study This section will provide brief description on the various significances of the study. The primordial purpose of the study is to provide the students with a complete and balance education by avoiding peer pressure. Thus‚ the results of this study will benefit the students‚ the school administrators‚ the teachers not only in English but also in other subjects‚ and especially the parents who are concerned about the behavior of their children. This study will serve as the
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“Statistical Treatment” Communication Reasearch 1 S.Y. 2013- 2014 T.F 7:00am – 8:30am MCS June 21‚ 2013 ILARIA L. PANDOLFI PROFESSOR ROSALIE CERVANTES I. Objectives: The learners are expected to: a. Determine what statistical treatment is all about. b. Choose their own right statistics in analysing their data. c. Follow the steps involving statistical treatment. d. Interpret the data involving tabulation. e. Provide answers to the drills. II. Outline
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Sample Outline for Review‚ Gap‚ Purpose‚ Significance and Scope 1.3.1 The Numerical Approach … (omitted review of earlier studies) Modified Smith’s model incorporating Novak’s theoretical solution -Simon & Randolph (1985)‚ Wong (1988) different definitions of ultimate failure – assumptions difference in result – insignificant Discrepancy - measured & simulated radiation damping effect - cause (Nogami & Konagai‚ 1986) Deal with discrepancy - include shear zone - Novak & Sheta‚ 1994 [Summary/Comments]
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Statistical Data Analyses Graeme Ferdinand D. Armecin‚ MHSS Outline of Presentation Overview of Research Designs Functions of Statistics Sampling Principles of Analysis and Interpretation (with Computer Package) – Descriptive Statistics – Inferential Statistics Graeme Ferdinand D. Armecin‚ MHSS Statistical Data Analyses Purposes of Research Design Exploratory/Descriptive Research design – Basic or fundamental in the research enterprise – What is going on? –
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