This lithograph shows mosaic images of Mercury, captured by the Mariner 10 spacecraft. The images are accompanied by a brief description and history, some statistical facts, and a list of significant dates in the exploration of Mercury.
These images of Neptune were captured by the Voyager 2 spacecraft in 1989. The images are accompanied by a brief description and history, some statistical facts, and important dates in the study of Neptune.
This lithograph shows images of Saturn, its rings, and four of its moons. The images were captured by the Voyager 1 and 2 spacecraft. They are accompanied by a brief description and history, some statistical facts, and important dates in the exploration of Saturn.
Nanoelectronics and the Meaning of Resistance
The purpose of this series of lectures is to introduce the "bottom-up" approach to nanoelectronics using concrete examples. No prior knowledge of quantum mechanics or statistical mechanics is assumed; however, familiarity with matrix algebra will be helpful for some topics.
Statistics Online Compute Resources
This site offers software tools, instructional materials and online tutorials about college-level probability and statistics. The SOCR tool has interactive graphs and information about dozens of distribution models, as well as a large collection of statistical techniques for online data analysis, visualization, ...
Statistics in Psychosocial Research: Measurement
Presents quantitative approaches to measurement in the psychological and social sciences. Topics include the principles of psychometrics, including reliability and validity; the statistical basis for latent variable analysis, including exploratory and confirmatory factor analysis and latent class analysis; and item response theory. Draws examples from the social sciences, including stress and distress, social class and socioeconomic status, personality; consumer satisfaction, functional impairme
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
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 ...
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 ...
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).
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.
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.
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
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.
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.
Statistics - an intuitive introduction: variability
Statistical data vary: range and inter-quartile range measure this. Are they good measures?
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 ...
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
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
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 ...