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The Art of the Probable: Literature and Probability, Spring 2008
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The Art of the Probable" addresses the history of scientific ideas, in particular the emergence and development of mathematical probability. But it is neither meant to be a history of the exact sciences per se nor an annex to, say, the Course 6 curriculum in probability and statistics. Rather, our objective is to focus on the formal, thematic, and rhetorical features that imaginative literature shares with texts in the history of probability. These shared issues include (but are not limited to): the attempt to quantify or otherwise explain the presence of chance, risk, and contingency in everyday life; the deduction of causes for phenomena that are knowable only in their effects; and, above all, the question of what it means to think and act rationally in an uncertain world. Our course therefore aims to broaden students’ appreciation for and understanding of how literature interacts with--both reflecting upon and contributing to--the scientific understanding of the world. We are just as centrally committed to encouraging students to regard imaginative literature as a unique contribution to knowledge in its own right, and to see literary works of art as objects that demand and richly repay close critical analysis. It is our hope that the course will serve students well if they elect to pursue further work in Literature or other discipline in SHASS, and also enrich or complement their understanding of probability and statistics in other scientific and engineering subjects they elect to take.

Subject:
Arts and Humanities
Literature
Philosophy
Religious Studies
Statistics and Probability
Material Type:
Full Course
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Jackson, Noel
Kibel, Alvin
Raman, Shankar
Date Added:
01/01/2008
Econometrics Textbook
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Econometrics is the study of estimation and inference for economic models using economic data. Econometric theory concerns the study and development of tools and methods for applied econometric applications. Applied econometrics concerns the application of these tools to economic data.

Subject:
Business and Communication
Economics
Material Type:
Textbook
Provider:
University of Wisconsin
Author:
Bruce Hansen
Date Added:
01/01/2016
Evidence and Inference:  You live there?
Conditions of Use:
No Strings Attached
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Developed for students in advanced ESL/ELL classes as well as for native English speakers with low reading skills, this group lesson focuses on the formulation of inferences, and the relevant explicit details which support each inference. The initial presentation highlights the skill of making inferences in a real-world context, then transitions to the literary context. Students read selected chapters of The House on Mango Street, by Sandra Cisneros, a core text in many junior high and high school curricula across the United States. The students read out loud. Then, in groups they formulate inferences based on what they have read. Using sentence strips, they summarize the inference as well as cite the textual details which support each inference.

Subject:
English Language Arts
Material Type:
Lesson Plan
Author:
Patricia Petherbridge-Hernandez
Date Added:
05/05/2016
Grade 7 Module 5: Statistics and Probability
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In this module, students begin their study of probability, learning how to interpret probabilities and how to compute probabilities in simple settings.  They also learn how to estimate probabilities empirically.  Probability provides a foundation for the inferential reasoning developed in the second half of this module.  Additionally, students build on their knowledge of data distributions that they studied in Grade 6, compare data distributions of two or more populations, and are introduced to the idea of drawing informal inferences based on data from random samples.

Subject:
Statistics and Probability
Material Type:
Module
Provider:
New York State Education Department
Provider Set:
EngageNY
Date Added:
01/06/2014
Inference (Robbie Pock, Portland Community College)
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No Strings Attached
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In this unit you will learn about making inferences and the ways that active readers use this skill to improve both engagement and comprehension.

This unit contains a lesson, a link to a video, a short story, and a practice assignment.

This resource was created as part of a Developmental Reading course redesign project, with contributions from Theresa Love and David Pontious and support from an Open Oregon Educational Resources grant.

Subject:
English Language Arts
Material Type:
Module
Author:
Amy Hofer
Robbie Pock
Date Added:
04/19/2016
Inferring: Reading Between the Lines Isn't Just for Reading Class
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The reading strategy known as inferring is also one of the six basic process skills in science. How to apply the strategy in teaching K-5 reading and science is explained in this article from the free, online magazine Beyond Weather and the Water Cycle. The magazine is designed to prepare elementary teachers to teach climate science concepts while integrating inquiry-based science and literacy instruction.

Subject:
Arts and Humanities
Reading Informational Text
Material Type:
Teaching/Learning Strategy
Provider:
Ohio State University
Ohio State University College of Education and Human Ecology
Provider Set:
Beyond Weather and the Water Cycle
Author:
Jessica Fries-Gaither
Date Added:
05/30/2012
Is That Legal? A Case of Acid Rain
Conditions of Use:
Read the Fine Print
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The goal of this activity is to understand how techniques of persuasion (including background, supporting evidence, storytelling and the call to action) are used to develop an argument for or against a topic. Students develop an environmental case study for presentation and understand how a case study is used as an analysis tool.

Subject:
Engineering
Communication
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Denise Carlson
Jane Evenson
Malinda Schaefer Zarske
Date Added:
10/14/2015
Lessons about Inferring
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Different approaches to teaching the reading comprehension strategy of inferring in K-5 classrooms are identified in this article. The article appears in the free, online magazine Beyond Weather and the Water Cycle, which is structured around the essential principles of climate science.

Subject:
Arts and Humanities
Education
Reading Informational Text
Material Type:
Lesson Plan
Teaching/Learning Strategy
Provider:
Ohio State University
Ohio State University College of Education and Human Ecology
Provider Set:
Beyond Weather and the Water Cycle
Author:
Jessica Fries-Gaither
National Science Foundation
Date Added:
05/30/2012
Looking At An Object (Archaeology)
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Unfamiliar objects make us curious to know what they are. To make a proposed explanation --a hypothesis-- about something unfamiliar, archaeologists use the skills of observation and inference.

Subject:
Archaeology
Material Type:
Lesson Plan
Provider:
University of North Carolina at Chapel Hill School of Education
Provider Set:
LEARN NC Lesson Plans
Author:
UNC Archaeology
Date Added:
06/25/1999
Methods in Biostatistics II
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Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations.

Subject:
Health, Medicine and Nursing
Statistics and Probability
Material Type:
Full Course
Lecture Notes
Syllabus
Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
Brian Caffo
Date Added:
02/16/2011
Models, Data and Inference for Socio-Technical Systems, Spring 2007
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In this class, students use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making. Students will enhance their model-building skills, through review and extension of functions of random variables, Poisson processes, and Markov processes; move from applied probability to statistics via Chi-squared t and f tests, derived as functions of random variables; and review classical statistics, hypothesis tests, regression, correlation and causation, simple data mining techniques, and Bayesian vs. classical statistics. A class project is required.

Subject:
Statistics and Probability
Material Type:
Full Course
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Frey, Daniel
Date Added:
01/01/2007
Observation and Inference (Archaeology)
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Students will learn to differentiate between observation and inference using a photograph of an Algonkian boat building and colonial coins.

Subject:
Archaeology
Material Type:
Lesson Plan
Provider:
University of North Carolina at Chapel Hill School of Education
Provider Set:
LEARN NC Lesson Plans
Author:
UNC Archaeology
Date Added:
06/25/1999
OpenIntro Statistics
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OpenIntro Statistics strives to be a complete introductory textbook of the highest caliber. Its core derives from the classic notions of statistics education and is extended by recent innovations. The textbook meets high quality standards and has been used at Princeton, Vanderbilt, UMass Amherst, and many other schools. We look forward to expanding the reach of the project and working with teachers from all colleges and schools.

Subject:
Statistics and Probability
Material Type:
Textbook
Provider:
OpenIntro
Author:
Christopher Barr
David Diez
Mine Cetinkaya-Rundel
Date Added:
01/01/2011
Programming Languages, Fall 2002
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Principles of functional, imperative, and logic programming languages. Meta-circular interpreters, semantics (operational and denotational), type systems (polymorphism, inference, and abstract types), object oriented programming, modules, and multiprocessing. Case studies of contemporary programming languages. Programming experience and background in language implementation required. From the course home page: The course involves substantial programming assignments and problem sets as well as a significant amount of reading. The course uses the SCHEME+ programming language for all of its assignments.

Subject:
Computer Science
Material Type:
Full Course
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Ernst, Michael Dean
Date Added:
01/01/2002
Quantitative Research in Political Science and Public Policy, Spring 2004
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Introduction to the application of elementary statistics to political analysis. A basic literacy subject, teaching the student how to read and interpret the quantitative literature in various subfields of political science and public policy. Students develop elementary statistical computation skills and learn to use a statistical computing package. From the course home page: This course provides students with a rigorous introduction to Statistics for Political Science. Topics include basic mathematical tools used in social science modeling and statistics, probability theory, theory of estimation and inference, and statistical methods, especially differences of means and regression. The course is often taken by students outside of political science, especially those in business, urban studies, and various fields of public policy, such as public health. Examples draw heavily from political science, but some problems come from other areas, such as labor economics.

Subject:
Statistics and Probability
Political Science
Material Type:
Full Course
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Ansolabehere, Stephen
Date Added:
01/01/2004
Sonnet 130-- Rude Or Reality?
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This lesson focuses on Shakespeare's "Sonnet 130." It contains a copy of the sonnet, questions to use when discussing and analyzing the sonnet, and a creative component. This lesson has modifications for Novice Low Limited English Proficient students.

Subject:
Arts and Humanities
Literature
Language Education (ESL)
Material Type:
Lesson Plan
Provider:
University of North Carolina at Chapel Hill School of Education
Provider Set:
LEARN NC Lesson Plans
Author:
Elizabeth Mackie
Vicki Moats
Date Added:
06/17/2004
Statistical Reasoning
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Statistical Reasoning introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. In addition, the course helps students gain an appreciation for the diverse applications of statistics and its relevance to their lives and fields of study. The course does not assume any prior knowledge in statistics and its only prerequisite is basic algebra.

Subject:
Statistics and Probability
Material Type:
Diagram/Illustration
Full Course
Interactive
Reading
Provider:
Carnegie Mellon University
Provider Set:
Open Learning Initiative
Date Added:
01/09/2013
Statistical Thinking and Data Analysis, Fall 2011
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This course is an introduction to statistical data analysis. Topics are chosen from applied probability, sampling, estimation, hypothesis testing, linear regression, analysis of variance, categorical data analysis, and nonparametric statistics.

Subject:
Statistics and Probability
Material Type:
Full Course
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Allison Chang
Cynthia Rudin
Dimitrios Bisias
Date Added:
01/01/2011