PPT-Sampling and Statistical Power

Laura Chioda World Bank 1 Outline Ingredients of a general recipe called Statistical Sampling Theory Key message a successful design involves some guess work It is important to have a general rule but then needs discussion depending on the case at hand. 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. 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. 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.. BPT2423 – STATISTICAL PROCESS CONTROL. CHAPTER OUTLINE. Fundamental Concepts. Types of Sampling Plans. Single, Double, Multiple and Sequential. Statistical . Aspects. Lot-By-Lot . Acceptance Sampling Plans for Attributes. Benjamin Neale. March . 10. th. , 2016 . International Twin Workshop, Boulder, CO. Denotes . practical. Denotes . He-man. p-values are in the press. What we’ve been teaching. What exactly is a p-value?. By:. Pulakesh. . Maiti. Indian Statistical Institute. Summary.. While statistics have been collected and used in this subcontinent from antiquity, much changes in collection and use took place during the British Period (1757 – 1947) in Indian History. 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. Robert Christensen. , Feifei Li. University of Utah. Lu Wang, Ke Yi. Hong Kong University. Of Science and Technology. Motivation. Geo Spatial Data is being collected on a massive scale. Approximate aggregations is fast and often effective for this data. 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. 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?. 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.. : . Using Microsoft Excel for . Univariate. and Bivariate Analysis. Alfred P. Rovai. Hypothesis Testing. PowerPoint Prepared by . Alfred P. Rovai. Presentation . © . 2015 . by Alfred P. Rovai. Microsoft® Excel® Screen Prints Courtesy of Microsoft Corporation.. Electrofishing Efficiency and Sampling Design 6 Session Purpose The primary purpose of this module is  to help biologists  increase the accuracy and precision of sampling by 1 . improving efficiency of capture, and