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Supercourse: Epidemiology, the Internet, and Global Health
Supercourse is a global, continuously updated repository of lectures on public health and prevention targeting educators across the world. Supercourse has a network of over 32000 scientists in 151 countries who are sharing for free a library of over 2500 lectures. Originally funded three times by NASA, and now by the National Library of Medicine, this "Library of Lectures" has been developed from passionate scientific lectures from across the world. The result is a technology for inexpensive, su
Author(s): Creator not set

Time Series Analysis of Lehigh Valley Instrumental Climate Records
In this lab, students will learn basic statistical and graph skills by analyzing real data sets of local and regional instrumental climate records for the last 100 years. They will learn how to calculate seasonal means of climate parameters, detect trends or patterns in the records, and make different ...
Author(s): Zicheng Yu,Carleton College Science Education Reso

Star Library: An Unusual Episode
Dawson (1995) presented a data set giving a population at risk and fatalities for an “unusual episode” (the sinking of the ocean liner Titanic) and discussed the use of the data set in a first statistics course as an elementary exercise in statistical thinking, the goal being to deduce the origin of ...
Author(s): Mary Richardson

The Central Limit Theorem
The applets in this section of Statistical Java allow you to see how the Central Limit Theorem works. The main page gives the characteristics of five non-normal distributions (Bernoulli, Poisson, Exponential, U-shaped, and Uniform).
Author(s): S. Dorai-Raj,C. Anderson-Cook,T. Robinson

Power Applet
The applets in this section of Statistical Java address Power. Users can perform one or two tailed tests for proportions or means for one or two samples. Set the parameters and drag the mouse across the graph to see how effect size affects power.
Author(s): S.Dorai-Raj,C.Anderson-Cook,T.Robinson

Regression
This applet from Statistical Java allows the user to generate bivariate data for analysis with simple linear regression. The page describes the equations used to generate the data and estimate the regression lines.
Author(s): S.Dorai-Raj,C.Anderson-Cook,T.Robinson

Science as Investigation: A First Majors Course Teaching the Process
The first laboratory course biology majors take should challenge their expectation that biology is the mere memorization of knowledge. Rather, it should introduce them through experience to the scope and limitations of scientific investigation. Following a brief introduction to epistemology and the nature and goals of science, this course provides students with a developing understanding of scientific thinking, methodology, and experimental design. During the final unit of the course students de
Author(s): No creator set

The Line-Intercept Method: A Tool for Introductory Plant Ecology Laboratories
This ABLE major workshop took participants to Bogg's Rock, a granitic flatrock community that is in the early serial stages of succession. The line-intercept method of sampling was employed to allow the rapid characterization of the community structure. After species composition was defined, a simple statistical procedure was used to test one of several factors that might be controlling species distribution.
Author(s): Denny Smith,John Cummings

Statistics - an intuitive introduction: standard deviation
A standard way of measuring statistical variability: standard deviation and the associated concepts of variance and degrees of freedom.
Author(s): Creator not set

Statistics - an intuitive introduction: variability
Statistical data vary: range and inter-quartile range measure this. Are they good measures?
Author(s): Creator not set

Paleobiology Database
The Paleobiology Database is a public resource for the scientific community. Its purpose is to provide global, collection-based occurrence and taxonomic data for marine and terrestrial animals and plants of any geological age, as well as web-based software for statistical analysis of the data. From ...
Author(s): John Alroy,Charles Marshall,Arnold Miller

Artificial Intelligence: Natural Language Processing
This course is designed to introduce students to the fundamental concepts and ideas in natural language processing (NLP), and to get them up to speed with current research in the area. It develops an in-depth understanding of both the algorithms available for the processing of linguistic information and the underlying computational properties of natural languages. Wordlevel, syntactic, and semantic processing from both a linguistic and an algorithmic perspective are considered. The focus is on m
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Artificial Intelligence: Machine Learning
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins); reinforcement learning and adaptive control. The course will also discuss recent applications of machi
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Boeing 757 Glider Kit
In this activity, students construct models of the NASA Boeing 757 using the materials and instructions provided. Working in groups, the students fly their gliders in two challenge events involving launches and landings, experiment with altering the configurations of the gliders, and perform statistical ...
Author(s): Creator not set

Mars
This poster of Mars shows a full-disk mosaic, taken by the Mars Global Surveyor. The northern polar ice cap, Tharsis volcanoes, and Valles Marineris are visible. The accompanying text provides a brief description, history, and geology, as well as some statistical facts and significant dates in Mars ...
Author(s): Creator not set

Uranus
These images of Uranus and its rings and moons were captured by the Hubble Space Telescope and by the Voyager 2 spacecraft. The images are accompanied by a brief description and history, some statistical facts, and important dates in the exploration of Uranus.
Author(s): Creator not set

Against All Odds - Describing Distributions
'This program examines the difference between mean and median, explains the use of quartiles to describe a distribution, and looks to the use of boxplots and the five-number summary for comparing and describing data. An illustrative example shows how a city government used statistical methods to correct inequity between men’s and women’s salaries.'
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Sam Wang: The Princeton Election Consortium - A First Draft of Electoral History - February 11, 2009
Lunch 'n Learn presentation: How we experience political races is dominated by opinion polls. Polling data can be confusing because of their sheer number. In 2008, hundreds of polls were released during the Presidential campaign. Is there a way to cut through the resulting noise? Four years ago Dr. Wang devised a statistical approach to analyze state polls to get a single, easy-to-understand snapshot of the race, viewed from the point of view of the Electoral College. In 2008, this approach mad
Author(s): No creator set

Sam Wang: The Princeton Election Consortium - A First Draft of Electoral History PDF - February 11,
Lunch 'n Learn presentation: How we experience political races is dominated by opinion polls. Polling data can be confusing because of their sheer number. In 2008, hundreds of polls were released during the Presidential campaign. Is there a way to cut through the resulting noise? Four years ago Dr. Wang devised a statistical approach to analyze state polls to get a single, easy-to-understand snapshot of the race, viewed from the point of view of the Electoral College. In 2008, this approach mad
Author(s): No creator set

05 - Insurance: The Archetypal Risk Management Institution
Insurance provides significant risk management to a broad public, and is an essential tool for promoting human welfare. By pooling large numbers of independent or low-correlated risks, insurance providers can minimize overall risk. The risk management is tailored to individual circumstances and reflects centuries of insurance industry experience with real risks and with moral hazard and selection bias issues. Probability theory and statistical tools help to explain how insurance companies use ri
Author(s): No creator set