PPT-Sampling and Statistical Power
Author : alida-meadow | Published Date : 2016-09-06
Laura Chioda World Bank 1 Outline Ingredients of a general recipe called Statistical Sampling Theory Key message a successful design involves some guess work
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Sampling and Statistical Power: Transcript
Laura Chioda World Bank 1 Outline Ingredients of a general recipe called Statistical Sampling Theory Key message a successful design involves some guess work It is important to have a general rule but then needs discussion depending on the case at hand. Simulation. Ascertainment. Benjamin Neale. March 6. th. , 2014 . International Twin Workshop, Boulder, CO. Denotes . practical. Denotes . He-man. Slide of Questions. What is power?. What affects power?. Jared Hockly - Western Springs College . hocklyj@wsc.school.nz. . Overview of this session:. Discuss the standards 1.10 and 2.9 briefly (some clarifications). Focus on developing understanding of sampling variability. SAI India. September 2011. Sampling is used by SAI-India extensively in. Financial Audit. Compliance Audit. Performance Audit. Sampling. Planning. – selection of units for audit. Audit Execution – selection of transactions for detailed scrutiny. Table of Contents. Overview of sampling in e-Discovery. Why sample? . Types of sampling. What is “statistically valid” sampling?. Mathematical considerations before sampling. How to sample in document review. Nepal. FAO-AFMA . Regional Workshop on Sampling for Agricultural Censuses and Surveys Bangkok, Thailand . 14-18 May . 2012. Ambika. . Bashyal. Central Bureau of Statistics. Hem Raj . Regmi. Ministry of Agriculture and Cooperatives. What students (. and teachers) don’t know. Centre of a distribution. What do we mean by “centre”?. Score playing first game of SKUNK. Centre of a distribution. The centre is the . one best number. BPT2423 – STATISTICAL PROCESS CONTROL. CHAPTER OUTLINE. Fundamental Concepts. Types of Sampling Plans. Single, Double, Multiple and Sequential. Statistical . Aspects. Lot-By-Lot . Acceptance Sampling Plans for Attributes. Benjamin Neale. March . 10. th. , 2016 . International Twin Workshop, Boulder, CO. Denotes . practical. Denotes . He-man. p-values are in the press. What we’ve been teaching. What exactly is a p-value?. By:. Pulakesh. . Maiti. Indian Statistical Institute. Summary.. While statistics have been collected and used in this subcontinent from antiquity, much changes in collection and use took place during the British Period (1757 – 1947) in Indian History. +. Principles of Simulation. Benjamin Neale. March 4. th. , 2010 . International Twin Workshop, Boulder, CO. Slide of Questions. What is power?. What affects power?. How do we calculate power?. What is simulation?. SAI India. September 2011. Sampling is used by SAI-India extensively in. Financial Audit. Compliance Audit. Performance Audit. Sampling. Planning. – selection of units for audit. Audit Execution – selection of transactions for detailed scrutiny. General Sampling Issues. Thinking of the steps in sampling (from theoretical population to respondents)—what are some biases that can come in at each point?. What is the proximity similarity model? What are issues with that model?. Larry Leamy. Department of Biology. University of North Carolina at Charlotte. Charlotte, NC 28223. INTRODUCTION. In designing experiments, need to know what number of individuals would be optimal to detect differences between groups (typically a control versus treatment groups).. The fifth edition of AUDIT SAMPLING continues to provide an important bridge between basic introductory auditing texts and the level of highly technical professional knowledge necessary to handle audit sampling applications in actual practice. Written from the standpoint of internal and external auditors, the information is easy-to-understand by entry-level auditing students, yet also appropriate for an advanced or graduate level auditing course. Updated to reflect the rapidly changing audit environment, the fifth edition offers the following new features: * The latest information on new technology and techniques for testing controls* Reflects the revisions of SAS No. 55 made by SAS No. 94.* Significant discussion of setting materiality and relating that to tolerable misstatement, including a discussion of SAB No. 99* Information on changes in practice regarding the use of nonstatistical sampling* New examples and cases The book companion web site includes data sets for cases particularly appropriate for solving with Excel. The actual cases are identified by an icon in the text. The web site also contains an Instructor\'s Resource Manual.
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