PPT-Sampling Issues:

part I Leonie huddy Stony brook university leoniehuddysunysbedu matthew baum harvard university outline Major Sources of Survey Error II Coverage Error 1 Coverage Problems in US Phone amp Web. 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. . 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. 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!. 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 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. 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.. 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 . A link between Continuous-time/Discrete-time Systems. x. (. t. ). y. (. t. ). h. (. t. ). x. [. n. ]. y. [. n. ]. h. [. n. ]. Sampling. x. [. n. ]=. x. (. nT. ), . T. : sampling period. x. [. n. ]. x. 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..