PPT-Sampling Design and Analysis

MTH 494 Lecture17 Ossam Chohan Assistant Professor CIIT Abbottabad Estimation of a Population Proportion In our numerical example we have been interested in estimating the average or the total number of hours per week spent watching television. 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.. Approximating the . Depth. via Sampling and Emptiness. Approximating the . Depth. via Sampling and Emptiness. Approximating the . Depth. via Sampling and Emptiness. Example: Range tree. S = Set of points in the plane. Population = group of people you need to know information about. Census = information obtained from every person in population. Sample = small group from within the population. Sample survey = investigation done using a sample. Santosh . Vempala. , Georgia Tech. A really old . p. roblem. Given set K in n-dimensional space, estimate its volume. . E.g., . Pyramids, wine barrels, … . Polytopes . Intersection of a polytope with ellipsoid(s) . Dru. Rose . Methods of Data Collection. Surveys . and Polls. Experimental. Studies. Observational. Studies. Dru. Rose . Polls and Surveys. Poll. Few questions. Multi-choice type only. Survey. Many questions. 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. 2. Groundwater Sampling. Sampling a well with a tennis shoe?. Standards, Directives, Guidelines................... 4. Standards, Directives, Guidelines. Hierarchy:- “more or less a general consensus” EN/AS/NZS=. 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 Rare . Event. Analysis with Multiple Failure Region Coverage. Wei Wu. 1. , Srinivas Bodapati. 2. , Lei He. 1,3. 1 Electrical Engineering Department, UCLA. 2 Intel Corporation. 3 . State . Key Laboratory of ASIC and Systems, . How . can it be that mathematics, being after all a product of human thought independent of experience, is so admirably adapted to the objects . of reality. Albert Einstein. Some parts of these slides were prepared based on . General Sampling Issues. Thinking of the steps in sampling (from theoretical population to respondents)—what are some biases that can come in at each point?. What is the proximity similarity model? What are issues with that model?. Presented by:. Er. Bhagawan Shrestha. Quality Assurance Plan. Total Quality management (TQM). As defined by ISO: “TQM is a management approach of an organisation, . centered on Quality. , . based on participation of all its members of the organisation. 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.. 1. Attributes of Common Cause Variation. It is the variation inherent to a Process.. It cannot be reduced unless one changes the Process.. It can be considered to be the background noise present in a Process..