PPT-Stratified Sampling STAT262

Author : kittie-lecroy | Published Date : 2018-03-17

Motivating example enrollment in California Schools California schools E4421 H775 M1018 We are interested in the number of enrolled students 25 What is stratified

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Stratified Sampling STAT262" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Stratified Sampling STAT262: Transcript


Motivating example enrollment in California Schools California schools E4421 H775 M1018 We are interested in the number of enrolled students 25 What is stratified sampling Stratify make . A. Random Sampling B. Stratified Sampling C. Cluster Sampling D. Sampling Using Multiple Probability Techniques A. Sampling to Achieve Representativeness or ComparabilityB. Sampling Special or Unique Basic Terms. Research units – subjects, participants. Population of . interest (all humans?). Accessible . population – those you can actually try to sample. Intended . sample – those you select for participation. brian. . schnick. BASIC CONCEPTS IN SAMPLING. Advantages of Sampling. Sampling Error. Sampling Procedure. Advantages of Sampling. Sampling is a necessity in many geographic research problems. Population may be simply too big for 100% contact. 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. Super Hero Stratified Sampling - What's The Story?. In tough economic times the Super Heroes of the world are trying to make their operations more efficient. To do this they have decided to survey both members of the public and villains as to what works best.. 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.. Jonathan . Pearce. Medical Research Council, Translational Programme Manager. University of Glasgow . Industry Day: 24 September 2015. Value. Diagnostics to better predict disease state, prognosis, response. Catherine Neck. Macmillan Cancer Rehabilitation/ Recovery Package Project Lead. 27. th. January 2017. Recovery Package & Stratified Pathway Recommendations:. ‘Cancer Taskforce is working with Macmillan to roll out the ‘Recovery Package’… a set of actions that ensure the individual needs of all people going through cancer treatment are met by tailored support and services’. How do Sociologists choose the participants for their research?. Starter. Think. - Work independently for 2 minutes to write in as many key concepts into the worksheet as you can. . Pair. - Now, work in a pair with the person sitting next to you for 2 minutes and help each other with any key concepts you couldn't do on your own.. Catherine Neck. Macmillan Cancer Rehabilitation/ Recovery Package Project Lead. 16. th. May 2017. Recovery Package & Stratified Pathway Recommendations:. ‘Cancer Taskforce is working with Macmillan to roll out the ‘Recovery Package’… a set of actions that ensure the individual needs of all people going through cancer treatment are met by tailored support and services’. A new sampling method. Motivating example. Want to study the average amount of water used per person per month. How would you design a survey?. 2. A new sampling method. Consider the two strategies. Sample person by person. Stochastic. . Transparency. Samuli Laine, Tero Karras. NVIDIA Research. Stratified Stochastic Transparency. Goal: Improve image quality of stochastic transparency . [. Enderton. et al. 2010]. Motivation: As always, good sampling produces less noise than bad sampling. Paul A. Smith, S3RI, University of Southampton. Shelley Gammon, Sarah Cummins, Christos Chatzoglou, Office for National Statistics. Dick . Heasman. 1. Outline. Record linkage and strategies. Quality measures for record linkage. Mark Bun (Boston University), . Jörg. Drechsler (IAB), . Marco . Gaboardi. (Boston University), Audra McMillan (Apple), . Jayshree Sarathy (Harvard University). Outline. Background. Cluster sampling.

Download Document

Here is the link to download the presentation.
"Stratified Sampling STAT262"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents