PPT-Randomized Sampling

LEARNING OBJECTIVES Explain the Monte Carlo method Explain extreme pathways Explain sampling lowdimensional solution space Explain sampling highdimensional solution space Each student should be able to. Sampling Tutorial. STRAY DOG SAMPLNG PROCEDURE. Each . team will be assigned a specific region with the city of Detroit. A map of the assigned region will be provided to each team. Within the region assigned to a team there are 50 predetermined points that will need to be sampled. A map of all the regions within the city of Detroit will be provided as well. Each team will need to visit and sample each of the 50 points within their assigned region making sure to follow the sampling procedure outlined below. . 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 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!. and . Introduction to Experimental Design. Simple Random Sample:. n. measurements from a population . Population subset. Selected such that:. Every sample of size . n. from the population has an equal chance of being selected. 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.. J. D. Johnston. Factotum. An . Audio Company. THERE IS ONE RULE IN THIS TALK. If you don’t get what’s going on:. ASK A QUESTION!. DO NOT WAIT. But first, a word from our sponsor, the Shannon Sampling Theorem. 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. x(t. ). x~(t. ). Sound is audible in 20 Hz to 20 kHz range:. . f. max. = 20 kHz and the Nyquist rate 2 . f. max. = 40 kHz . What is the extra 10% of the bandwidth used?. Rolloff. from passband to stopband in the magnitude response of the anti-aliasing filter. 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.. Wendy . Parulekar. MD, FRCP(C). Wei Tu PhD. Objectives. To review the classification of randomized phase II trial designs. To propose and critique potential  randomized phase II trials designs for a concept in head and neck cancer (case scenario to be presented). Mark Bun (Boston University), . Jörg. Drechsler (IAB), . Marco . Gaboardi. (Boston University), Audra McMillan (Apple), . Jayshree Sarathy (Harvard University). Outline. Background. Cluster sampling. in primary care: . Evidence from a randomized trial . with underserved patients . Jennifer Moss, PhD*; Paul Reiter, PhD; Lisa Klesges, PhD; . Tracy Onega, PhD; Mack Ruffin, MD, MPH. *Penn State College of Medicine.