PPT-Sampling and Sample Size in Epidemiology

Dr Papia Sultana Associate Professor Department of Statistics University of Rajshahi 20042012 1 Dr Papia Sultana Sampling The sample The population 20042012 2 Dr Papia Sultana. ©2013 Michael J. Rosenfeld. Draft date: 1/14/2013. The sample frame, or sample universe, is the data that our sample is drawn from. In the case of the March, 2000 CPS, the sample universe includes all people residing in the US in March, 2000, who were not living in institutional settings. This sample frame has N members.. . Epidemiology . matters: a new introduction to methodological foundations. Chapter . 4. Seven steps. Define . the population of . interest. Conceptualize . and create measures of exposures and health indicators. 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. What students (and teachers) don’t know. Let’s start with measurement:. What do we mean by “volume” in measurement?. Start with measurement:. What do we mean by “volume” in measurement?. How do we measure volume?. Motivating example: enrollment in California Schools. California schools: E=4421, H=775, M=1018. We are interested in the number of enrolled students. 25%. What is stratified sampling. ?. Stratify. : make . 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?. SAMPLING DISTRIBUTIONS & STANDARD . ERRORS. (And Possible Effects on Results of Teaching Evaluation). VARIABLE & DISTRIBUTION. A function or . rule that . maps or associates . with . each element in a domain . 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 . Martina Litschmannová. m. artina.litschmannova. @vsb.cz. EA 538. Populations. vs. Sample. A . population. includes each element from the set of observations that can be . made.. A . sample. consists only of observations drawn from the population.. Uses of sampling in Quality. 1. Why sample?. Samples give us information about a Population.. For us, the population could be manufactured items, internet orders from Amazon. , . Skype calls. , customers in . 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.. William P. Wattles, Ph.D.. I got the job!!! I am the new Human Resource Recruitment Specialist for . …I . would be involved in all branches. BEST PART... most of my job has to do with job analysis and performance, retention and turnover trends! (ALL STATISTICS and Behavior analysis) I will always apply what I learned at Francis Marion . CONFIRMATION . FROM FOUR BIVALVE SPECIES IN THE PLEISTOCENE OF NORTH CAROLINA. w. ith Patricia H. Kelley, Kristina . Ottens. , Nicholas O. Moore, Sarah L. Simpson, Anna M. . Zappulla. , Gregory P. . Dietl. Penny for your thoughts Take a sample of size 5 from the population Calculate p = the proportion of pennies minted in the 2000s Calculate the mean year of the pennies as well KEEP THIS DATA WHERE YOU CAN USE IT AGAIN!