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UCI Math 131B: Introduction to Probability and Statistics (Summer 2013) Lec 01. Introduction to Probability and Statistics View the complete course: http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 131B is an introductory course covering basic principles of probability and statistical inference. Point estimation, interval estimating, and testing hypotheses, Bayesian approaches to inference. Recorded on August 5, 2013 Required attribution: Cranston, Michael C. Math 131B (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (http://creativecommons.org/licenses/by-sa/3.0/deed.en_US)

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UCI Math 131B: Introduction to Probability and Statistics (Summer 2013) Lec 02. Introduction to Probability and Statistics View the complete course: http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 131B is an introductory course covering basic principles of probability and statistical inference. Point estimation, interval estimating, and testing hypotheses, Bayesian approaches to inference. Recorded on August 7, 2013 Required attribution: Cranston, Michael C. Math 131B (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (http://creativecommons.org/licenses/by-sa/3.0/deed.en_US)

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UCI Math 131B: Introduction to Probability and Statistics (Summer 2013) Lec 04. Introduction to Probability and Statistics View the complete course: http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 131B is an introductory course covering basic principles of probability and statistical inference. Point estimation, interval estimating, and testing hypotheses, Bayesian approaches to inference. Recorded on August 12, 2013 Required attribution: Cranston, Michael C. Math 131B (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (http://creativecommons.org/licenses/by-sa/3.0/deed.en_US)

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UCI Math 131B: Introduction to Probability and Statistics (Summer 2013) Lec 03. Introduction to Probability and Statistics View the complete course: http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 131B is an introductory course covering basic principles of probability and statistical inference. Point estimation, interval estimating, and testing hypotheses, Bayesian approaches to inference. Recorded on August 9, 2013 Required attribution: Cranston, Michael C. Math 131B (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (http://creativecommons.org/licenses/by-sa/3.0/deed.en_US)

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UCI Math 131B: Introduction to Probability and Statistics (Summer 2013) Lec 05. Introduction to Probability and Statistics View the complete course: http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 131B is an introductory course covering basic principles of probability and statistical inference. Point estimation, interval estimating, and testing hypotheses, Bayesian approaches to inference. Recorded on August 14, 2013 Required attribution: Cranston, Michael C. Math 131B (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (http://creativecommons.org/licenses/by-sa/3.0/deed.en_US)

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UCI Math 131B: Introduction to Probability and Statistics (Summer 2013) Lec 06. Introduction to Probability and Statistics View the complete course: http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 131B is an introductory course covering basic principles of probability and statistical inference. Point estimation, interval estimating, and testing hypotheses, Bayesian approaches to inference. Recorded on August 16, 2013 Required attribution: Cranston, Michael C. Math 131B (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (http://creativecommons.org/licenses/by-sa/3.0/deed.en_US)

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UCI Math 131B: Introduction to Probability and Statistics (Summer 2013) Lec 07. Introduction to Probability and Statistics View the complete course: http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 131B is an introductory course covering basic principles of probability and statistical inference. Point estimation, interval estimating, and testing hypotheses, Bayesian approaches to inference. Recorded on August 19, 2013 Required attribution: Cranston, Michael C. Math 131B (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (http://creativecommons.org/licenses/by-sa/3.0/deed.en_US)

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Recorded on May 08, 2013. Jeanett Castellanos is director of the Social Sciences Academic Resource Center. The SSARC operates under her theory of the Five Pillars of Education - research, leadership, practical experience, community service and academics. She also serves as a lecturer in the School of Social Sciences, coordinator for the social science major, and director of the Social Sciences Honors Program. She is the recipient of the American Psychological Association Division 12 (Clinical Psychology) Samuel M. Turner Mentorship Award.

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U Club: John Dombrink: After the Culture War, recorded January 30, 2013. John Dombrink is a renowned author and co-author of many articles pertaining to the "culture war" in America and the controversial issues that are becoming more prominent in our everyday society. He is also the director of the Mentor-Mentee Program for the School of Social Ecology (UC Irvine) and the director of the Criminology Outreach Program which provides academic support to elementary and middle-school students since 1999.

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UCI ESS 280A: Special Topics in Earth System Science (Fall 2013) Lec 03. Special Topics in ESS -- Biodiversity and Ecology View the complete course: http://ocw.uci.edu/courses/ess_280a_special_topics_in_earth_system_science.html Instructor: Diane E. Pataki License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info. More courses at http://ocw.uci.edu Description: Each quarter is devoted to current topics in the field of Earth System Science. Topics addressed vary each quarter. For this course, topics discussed include: climate change, biodiversity, demographics, transportation and urban systems, cost-benefit analysis, negative impacts on the environment, environmental policy, and sustainability. Recorded on October 13, 2010. Required attribution: Pataki, Diane E. Specail Topics in Earth System Science 280A (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/ess_280a_special_topics_in_earth_system_science.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (creativecommons.org/licenses/by-sa/3.0/deed.en_US).

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This seminar explores the five most common behaviors of gifted students and explains how these behaviors manifest differently in the school and home setting. Strategies for effectively responding to these behaviors are presented. Judith Roseberry, M.A., currently serves as the Treasurer of the California Association for the Gifted and as a consultant to state departments and school districts around the United States. She also leads a number of interaction groups for parents of the gifted.

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21st century learning is providing curriculum and instruction designed to engage this generation of digital-native students. Learn how 21st century skills can be implemented into the classroom to add critical thinking, collaboration, and complex curriculum through an interdisciplinary, integrated, project-based approach. Beth Andrews, M.A., is the GATE Coordinator for the Irvine Unified School District and is the Orange County Educator Representative for California Association for the Gifted. She has worked with gifted learners for 26 years and has served educators of gifted learners as a mentor teacher, GATE consultant, coordinator, author of curriculum, and teacher.

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An Inside UCI Lecture recorded on August 16, 2011 delivered by Professor Jeff Russell. This lecture discusses some of the topics in college student success. Professor Russell demonstrates the work he is doing in his lab at Calit2, SHAPe Lab. Some of what is covered is studying balance, sensing and motion-capture tools for movement analysis, mobility therapy and rehabilitation, and important factors in college student health. The SHAPe lab is part of the eHealth Collaboratory: advances in information technology are creating revolutionary health care delivery options that can improve quality, reduce cost and provide health patient empowerment.

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Image from ?[Thomas Wingfold, Curate. [A novel.]]?, 002310011 Author: MacDonald, George Page: 33 Year: 1880 Place: London Publisher: Strahan & Co. Following the link above will take you to the British Library?s integrated catalogue. You will be able to download a PDF of the book this image is taken from, as well as view the pages up close with the ?itemViewer?. Click on the 'related items? to search for the electronic version of this work.

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This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty. They form the basis for the analysis of quantitative data in science and engineering. The MATLAB® programming language is used to perform virtual experiments and to analyze real-world data sets, many downloaded from the web. Programming applications include display and assessment of data sets, investigation of hypotheses, and identification of possible casual relationships between variables. This is the first semester that two courses, Computing and Data Analysis for Environm

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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Image from ?Nouvelle Histoire de Lyon et des provinces de Lyonnais, Forez, Beaujolais, etc. [Illustrated by the author.]?, 003504498 Author: STEYERT, Andre?. Volume: 01 Page: 77 Year: 1895 Place: Lyon Publisher: Following the link above will take you to the British Library?s integrated catalogue. You will be able to download a PDF of the book this image is taken from, as well as view the pages up close with the 'itemViewer?. Click on the 'related items? to search for the electronic version of this work.

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Image from ?Camilla?s Girlhood. [A novel.]?, 002439406 Author: MAZINI, afterwards VILLARI, Linda. Volume: 01 Page: 145 Year: 1885 Place: London Publisher: T. Fisher Unwin Following the link above will take you to the British Library?s integrated catalogue. You will be able to download a PDF of the book this image is taken from, as well as view the pages up close with the 'itemViewer?. Click on the 'related items? to search for the electronic version of this work.

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This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty. They form the basis for the analysis of quantitative data in science and engineering. The MATLAB® programming language is used to perform virtual experiments and to analyze real-world data sets, many downloaded from the web. Programming applications include display and assessment of data sets, investigation of hypotheses, and identification of possible casual relationships between variables. This is the first semester that two courses, Computing and Data Analysis for Environm

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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Image from ?Le Monde vu par les artistes. Ge?ographie artistique. ? Ouvrage orne? d'environ 600 gravures et cartes?, 002456588 Author: Me?nard, Rene? Page: 247 Year: 1881 Place: Paris Publisher: Following the link above will take you to the British Library?s integrated catalogue. You will be able to download a PDF of the book this image is taken from, as well as view the pages up close with the 'itemViewer?. Click on the 'related items? to search for the electronic version of this work.

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This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty. They form the basis for the analysis of quantitative data in science and engineering. The MATLAB® programming language is used to perform virtual experiments and to analyze real-world data sets, many downloaded from the web. Programming applications include display and assessment of data sets, investigation of hypotheses, and identification of possible casual relationships between variables. This is the first semester that two courses, Computing and Data Analysis for Environm

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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Image from ?The Carnival: a comedy [in five acts, in verse and prose]?, 002962895 Author: PORTER, Thomas Dramatist Page: 9 Year: 1664 Place: London Publisher: Following the link above will take you to the British Library?s integrated catalogue. You will be able to download a PDF of the book this image is taken from, as well as view the pages up close with the 'itemViewer?. Click on the 'related items? to search for the electronic version of this work.

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Image from ?The Dewy Morn. A novel?, 001859019 Author: Jefferies, Richard Volume: 02 Page: 251 Year: 1884 Place: London; Guildford [printed] Publisher: R. Bentley & Son Following the link above will take you to the British Library?s integrated catalogue. You will be able to download a PDF of the book this image is taken from, as well as view the pages up close with the 'itemViewer?. Click on the 'related items? to search for the electronic version of this work.

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This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty. They form the basis for the analysis of quantitative data in science and engineering. The MATLAB® programming language is used to perform virtual experiments and to analyze real-world data sets, many downloaded from the web. Programming applications include display and assessment of data sets, investigation of hypotheses, and identification of possible casual relationships between variables. This is the first semester that two courses, Computing and Data Analysis for Environm

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty. They form the basis for the analysis of quantitative data in science and engineering. The MATLAB® programming language is used to perform virtual experiments and to analyze real-world data sets, many downloaded from the web. Programming applications include display and assessment of data sets, investigation of hypotheses, and identification of possible casual relationships between variables. This is the first semester that two courses, Computing and Data Analysis for Environm

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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Image from ?A Thousand Miles in Wharfedale ? Being a description of a tour by a party of artists ? from Cawood to Camfell ? Illustrated, etc?, 000394010 Author: Bogg, Edmund. Page: 250 Year: 1892 Place: Leeds Publisher: Goodall & Suddick Following the link above will take you to the British Library?s integrated catalogue. You will be able to download a PDF of the book this image is taken from, as well as view the pages up close with the 'itemViewer?. Click on the 'related items? to search for the electronic version of this work.

http://creativecommons.org/publicdomain/zero/1.0/

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