PPT-Sampling

the real world Gunnar Stevens Human Computer Interaction University of Siegen Germany 3b Agenda Scribble sketching Sampling with camera Collecting images and clippings Physical collections. 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. . 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. 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. 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. How to run these simulations using Amber. vs.. Cazuela. sampling?. (progress of) reaction coordinate. ΔG. (progress of) reaction coordinate. ΔG. Add “restraint” to force simulation. to sample barrier region.. 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.. Stats Day 2014. Jason Ellwood. Otumoetai. College. Today... A look through, and go at, . some. . activities designed to give students visual and conceptual . appreciation . of what sampling variation is and how it impacts on statistical investigation in 91264. Sampling And AliasingSampling And AliasingWhat is sampling?What is sampling?–– The Process of conversion of analog signal to the The Process of conversion of analog signal to the digital sig 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. 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.. 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. Parameter & Statistic. Parameter. Summary measure about population. Sample Statistic. Summary measure about sample. P. . in. . P. opulation. . &. . P. arameter. S. . in. . S. ample. . 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..