PPT-Example 3.2.6: Sampling

Fruitflies In a Drosophila population 30 of the flies are black and 70 are gray Suppose that two flies are randomly chosen from the population What is the probability that they are the same color. Figure 1 Analysis Figure 2 brPage 3br dI dT Object Moment of Inertia I kgm Period For One Oscillation s Table 1 Figure 3 I I brPage 4br I T T I Conclusion References KarlineSoetaert3example(image3D)example(contour3D)example(colkey)example(jet.col)example(perspbox)example(mesh)example(trans3D)example(plot.plist)example(ImageOcean)example(Oxsat)2.Functionsimage2Dand spun sampling cylinders HOKE Inc.PO Box 4866 • Spartanburg, SC 29305-4866Phone (864) 574-7966 Fax (864) 587-5608www.hoke.com • Sales-hoke@circor.com Spun Sampling Cylinders316 Stainless 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. 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. and. purge techniques. Acquiring . a . representative sample. Your Resources:. ISO Standards (5667). GNS National Protocol. What are we trying to achieve?. 3. Why is this so important?. A REPRESENTATIVE SAMPLE!. 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. Choosing your participants for your research.. Sample. The group of participants that make up your research. Samples are supposed to represent the . population . that you are researching but the way you choose to find your sample is dependent on many factors.. ADC Types. EE174 – SJSU. Tan Nguyen. A continuous-time signal . x. (. t. ) with frequencies no higher than . f. max. can be reconstructed from its samples . x. [. n. ] = . x. (. nT. s. ) if the samples are taken at a proper sampling frequency . , Identification and Testing. (S.I.T.) . Introduction. Define basic principles for applying sampling, identification and testing requirements. 1) . Systems and procedures. ensuring that samples are representative of the batch when sampled. Amber Spackman Jones. Utah Water Research Lab. Nancy Mesner. Watershed Science. Jeff Horsburgh. Utah Water Research Lab. Ron . Ryel. Wildland Resources. David Stevens. Utah Water Research Lab. Environmental processes can have fine scale.. Approximately 1050 samples taken annually. Programme prepared in April targeting particular premises and food types. All samples taken informally unless a previous sample was “unacceptable/potentially hazardous” or during an outbreak investigation. From Surveys to Big . D. ata. Edith Cohen. Google Research. Tel Aviv University. Disclaimer:. Random sampling is classic and well studied tool with enormous impact across disciplines. This presentation is biased and limited by its length, my research interests, experience, understanding, and being a Computer Scientist. I will attempt to present some big ideas and selected applications. I hope to increase your appreciation of this incredible tool.. 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..