PPT-7.0 Sampling

71 The Sampling Theorem A link between ContinuoustimeDiscretetime Systems x t y t h t x n y n h n Sampling x n x nT T sampling period. 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. 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. 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. 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. Sampling is perhaps the most important step in assuring that good quality aggregates are being used on INDOT contracts. Since a sample is just a small portion of the total material, the importance th MTH . 494. LECTURE-13. Ossam Chohan. Assistant Professor. CIIT Abbottabad. 2. STRATIFIED SAMPLING. 3. STRATIFIED SAMPLING. 1.. . Stratification. : The elements in the population are divided into layers/groups/ strata based on their values on one/several auxiliary variables. The strata must be non-overlapping and together constitute the whole population.. 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. , 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.. Husheng Li. The University of Tennessee. Chopper Sampling . We introduce a switching function such that . x_s. (t)=x(t)s(t), where. Nyquist. Criterion. The sampling rate should be at least twice the bandwidth of the signal, in order to fully reconstruct the signal.. Parameter & Statistic. Parameter. Summary measure about population. Sample Statistic. Summary measure about sample. P. . in. . P. opulation. . &. . P. arameter. S. . in. . S. ample. . FOR . AGRICULTURAL STATISTICS. Module 2 - Session . 5:. Using . a Multiple Sampling Frame as an MSF. Objectives of the presentation. Review the . principles of multiple frame . sampling. Deal . with . 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..