Winter Lecture Series - 2009: Ten things the alcohol industry won't tell you about alcohol
Professor Sellman believes New Zealand is currently in the midst of a national alcohol crisis judging by health and crime statistics. As Director of the National Addiction Centre in Christchurch since 1996 – he is passionate about the right of consumers to know the other side of the alcohol story – its carcinogenic qualities to name just one. This lecture is the prelude to a national alcohol campaign.
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An Introduction to Clinical Trials
George Warimwe from the Kenya Medical Research Institute (KEMRI)/Wellcome Trust Research Programme in Kilifi, Kenya presents an introduction to clinical trials aimed at trial site staff and anyone new to the field. Topics covered include: equipoise and hypothesis, protocol, trial design, comparative effectiveness, pharmacovigilance, ICH-GCP basics, informed consent, essential documents, databases and statistics.
Author(s): George Warimwe

Biometrics
This text manual introduces statistical analysis and its underlying philosophy, enabling students to understand how to describe the confidence they have in their analysis. Statistical analysis is one of the most widely used, and abused, techniques in the biological sciences. Statistics are ostensibly used to allow an investigator to be objective. That is, the researcher uses statistical tests to determine whether or not his/her hypothesis is supported by the data collected. Unfortunately, the
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18.05 Introduction to Probability and Statistics (MIT)
This course provides an elementary introduction to probability and statistics with applications. Topics include: basic probability models; combinatorics; random variables; discrete and continuous probability distributions; statistical estimation and testing; confidence intervals; and an introduction to linear regression.
Author(s): Panchenko, Dmitry

Order Statistic Experiment
This resource consists of a Java applet and expository text. The applet simulates the order statistics of a random sample from a given distribution. The sample size, order, and sampling distribution can be specified.
Author(s): No creator set

Quake: 1906 San Francisco Quake
This site tells why the April 18, 1906, earthquake along the San Andreas Fault was one of the most significant earthquakes of all time. See photos, eyewitness accounts, the 1906 seismogram, and casualty and damage statistics. Learn about the flurry of scientific investigation unleashed by the quake and the advances that followed.
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Introduction to Applied Statistics, Summer 2003
This course provides graduate students in the sciences with an intensive introduction to applied statistics. Topics include descriptive statistics, probability, non-parametric methods, estimation methods, hypothesis testing, correlation and linear regression, simulation, and robustness considerations. Calculations will be done using handheld calculators and the Minitab Statistical Computer Software.
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15.075 Applied Statistics (MIT)
This course is an introduction to applied statistics and data analysis. Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and statistical computing. It is not a course in mathematical statistics, but provides a balance between statistical theory and application. Prerequisites are calculus, probability, and linear algebra. We would like to acknowledge the contributions that Prof. Roy Welsch (MIT), Pro
Author(s): Newton, Elizabeth

15.062 Data Mining (MIT)
Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Such data is often stored in data warehouses and data marts specifically intended for management decision support. Data mining is a rapidly growing field that
Author(s): Patel, Nitin

17.874 Quantitative Research Methods: Multivariate (MIT)
This course is the second semester in the statistics sequence for political science and public policy offered in the Political Science Department at MIT. The intellectual thrust of the course is a presentation of statistical models for estimating causal effects of variables. The model of an effect is a conditional mean (though we might imagine other effect). The notion of causality is the effect of one variable on another holding all else constant.
Author(s): Ansolabehere, Stephen

18.443 Statistics for Applications (MIT)
This course provides a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. The course topics include hypothesis testing and estimation. It also includes confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, and correlation.
Author(s): Panchenko, Dmitry

18.465 Topics in Statistics: Nonparametrics and Robustness (MIT)
This graduate-level course focuses on one-dimensional nonparametric statistics developed mainly from around 1945 and deals with order statistics and ranks, allowing very general distributions. For multidimensional nonparametric statistics, an early approach was to choose a fixed coordinate system and work with order statistics and ranks in each coordinate. A more modern method, to be followed in this course, is to look for rotationally or affine invariant procedures. These can be based on empiri
Author(s): Dudley, Richard

2.22 Design Principles for Ocean Vehicles (13.42) (MIT)
The course covers the basic techniques for evaluating the maximum forces and loads over the life of a marine structure or vehicle, so as to be able to design its basic configuration. Loads and motions of small and large structures and their short-term and long-term statistics are studied in detail and many applications are presented in class and studied in homework and laboratory sessions. Issues related to seakeeping of ships are studied in detail. The basic equations and issues of maneuvering
Author(s): Techet, Alexandra

22.38 Probability And Its Applications To Reliability, Quality Control, And Risk Assessment (MIT)
This course covers interpretations of the concept of probability. Topics include basic probability rules; random variables and distribution functions; functions of random variables; and applications to quality control and the reliability assessment of mechanical/electrical components, as well as simple structures and redundant systems. The course also considers elements of statistics; Bayesian methods in engineering; methods for reliability and risk assessment of complex systems (event-tree and
Author(s): Golay, Michael

14.30 Introduction to Statistical Method in Economics (MIT)
This course is a self-contained introduction to statistics with economic applications. Elements of probability theory, sampling theory, statistical estimation, regression analysis, and hypothesis testing. It uses elementary econometrics and other applications of statistical tools to economic data. It also provides a solid foundation in probability and statistics for economists and other social scientists. We will emphasize topics needed in the further study of econometrics and provide basic prep
Author(s): Bennett, Herman