PPT-CoAg Sampling & Sample Preparation Working Group:

Author : tawny-fly | Published Date : 2018-03-08

YR04 Efforts MFRPA Alliance and Lab Accreditation Meeting Louisville KY February 2 2016 Overview of S ampling Working Group Efforts Publication of the Guidance

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CoAg Sampling & Sample Preparation Working Group:: Transcript


YR04 Efforts MFRPA Alliance and Lab Accreditation Meeting Louisville KY February 2 2016 Overview of S ampling Working Group Efforts Publication of the Guidance on Obtaining Defensible Samples . Basic Terms. Research units – subjects, participants. Population of . interest (all humans?). Accessible . population – those you can actually try to sample. Intended . sample – those you select for participation. Impact Evaluations. Kristen Himelein. 1. Introduction. The goal of this presentation is not to make you a sampling expert – rather to give an . overview. . of the issues faced in designing a sample for your impact evaluation. (Generally it is recommended that you consult a sampling expert.). Population = group of people you need to know information about. Census = information obtained from every person in population. Sample = small group from within the population. Sample survey = investigation done using a sample. Comparison of Group Means. Standard Deviations (. z . scores). 0. +1. +2. +3. -2. -1. -3. 34.13%. 34.13%. 13.59%. 13.59%. 2.14%. 2.14%. 0.13%. 0.13%. Percentile Equivalents. 1. 5. 10. 2. 0. 4. 0. 5. 0. Big Question: How do you know when you have collected enough data and done it appropriately?. Today’s Agenda. Tips and Tricks. Article Review Discussion. Assignment for Feb 24. Sampling Review. Observation Approaches (Qualitative/ Quantitative) and Practice. It is important that the sample selected be representative of the population from which it is taken so that inferences about the population are the best that they can be.. Probability Sampling Methods. W.. A. . Chulamani. C.. CA3011 Communication Arts Research. Sampling. Objectives. To explain and differentiate the population and sample. To describe the types of sampling procedures; nonprobability sampling, and probability sampling. 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. How do Sociologists choose the participants for their research?. Starter. Think. - Work independently for 2 minutes to write in as many key concepts into the worksheet as you can. . Pair. - Now, work in a pair with the person sitting next to you for 2 minutes and help each other with any key concepts you couldn't do on your own.. as your field technicians.. Jeff Martin, Astrea Taylor, . & Nancy Zikmanis. Next Phase of the Project Life Cycle. PLANNING:. . SAMPLING:. . ASSESSMENT:. EVALUATION: . Plan for data collection using the DQO . 7. Introduction. In . a typical statistical inference problem, you want to discover one or more characteristics of a given population. .. However, it is generally difficult or even impossible to contact each member of the population.. SBS200 - Lecture . Section 001, . Spring 2017. Room . 150 Harvill Building. 9:00 . - . 9:50 . Mondays, Wednesdays & Fridays. .. Welcome. http://www.youtube.com/watch?v=oSQJP40PcGI. Remember bring your. EUS 210. Types of Dielectric. Mineral Oil . Polychlorinated biphenyls (PCBs). Silicone-based or Fluorinated Hydrocarbons. Natural and Synthetic Esters. Air. Why Do We Sample the oil. In-Service Electric Transformer:. What is statistics? Statistics is the science of dealing with data. Data is any type of info packaged in numerical form. Common examples: Political polls, Health/medical studies Some Basic Definitions

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