PPT-Chapter 3 Probability Sampling Theory

Hypothesis Testing Probability The extent to which something is likely to happen On average Distribution of outcomes On Average Probability is based upon an infinite number of chances. Understanding the meaning of the terminology we use.. Quick calculations that indicate understanding of the basis of methods.. Many of the possible questions are already sprinkled in the lecture slides.. Big Question: How do you know when you have collected enough data and done it appropriately?. Today’s Agenda. Tips and Tricks. Article Review Discussion. Assignment for Feb 24. Sampling Review. Observation Approaches (Qualitative/ Quantitative) and Practice. W.. A. . Chulamani. C.. CA3011 Communication Arts Research. Sampling. Objectives. To explain and differentiate the population and sample. To describe the types of sampling procedures; nonprobability sampling, and probability sampling. Richard Peng. M.I.T.. Joint work with . Dehua. Cheng, Yu Cheng, Yan Liu and . Shanghua. . Teng. (U.S.C.). Outline. Gaussian sampling, linear systems, matrix-roots. Sparse factorizations of . L. p. 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 G.Cormode@warwick.ac.uk. Nick Duffield, Texas A&M University. Nick.Duffield@gmail.com. Sampling for Big Data. x. 9. x. 8. x. 7. x. 6. x. 5. x. 4. x. 3. x. 2. x. 1. x. 10. x’. 9. x’. 8. x’. 10. Probability Terminology. Classical Interpretation. : Notion of probability based on equal likelihood of individual possibilities (coin toss has 1/2 chance of Heads, card draw has 4/52 chance of an Ace). Origins in games of chance.. Lecture Presentation Slides. Macmillan Learning ©. 2017. Chapter 5. Sampling . Distributions. 5.1 Toward Statistical Inference. 5.2 The Sampling Distribution of a Sample Mean. 5.3 Sampling Distributions for Counts and . Daniel R. Montello. Paul C. Sutton. Prepared for: GEOG 4020, Geographic Research Methodology University of Denver , Department of Geography. Chapter 8 Outline. Section 1: Sampling Frames and Sampling Designs. 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.. Slide . 2. Probability - Terminology. Events are the . number. of possible outcome of a phenomenon such as the roll of a die or a fillip of a coin.. “trials” are a coin flip or die roll. Slide . A value between zero and one that describe the relative possibility(change or likelihood) an event occurs.. The MEF announces that in 2012 the change Cambodia economic growth rate is equal to 7% is 80%.. Tony Cox. My e-mail: . tcoxdenver@aol.com. Course web site: . http://cox-associates.com/DA/. . Agenda. Problem set 8 solutions; Problem set 9 . Hypothesis testing: statistical decision theory view. Copyright © Cengage Learning. All rights reserved. 5 Joint Probability Distributions and Random Samples Copyright © Cengage Learning. All rights reserved. 5.3 Statistics and Their Distributions