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Computer Science 273A: Machine Learning
The goal of this class is to familiarize you with various state-of-the-art machine learning techniques for classification, regression, clustering and dimensionality reduction. Besides this, an important aspect this class is to provide a modern statistical view of machine learning.

Author(s): No creator set

Design of a View-Based DSS For Location Planning
This paper describes the design of a DSS for locating facility networks. The proposed DSS is based on the principle of dynamic data definitions. The declarative and procedural forms of knowledge involved are identified by a logical analysis of planning tasks. The DSS supports an iterating process of adjusting and evaluating plan options. A flexible and interactive problem solving environment is achieved by means of a user defined set of views that captures both forms of knowledge. Each view desc
Author(s): Arentze, T., Borgers, A. and Timmermans, H.

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): No creator set

Confidence Intervals
The applets in this section of Statistical Java allow you to see how levels of confidence are achieved through repeated sampling. The confidence intervals are related to the probability of successes in a Binomial experiment.
Author(s): No creator set

Probability Distributions
This page of Statistical Java describes 11 different probability distributions including the Binomial, Poisson, Negative Binomial, Geometric, T, Chi-squared, Gamma, Weibull, Log-Normal, Beta, and F. Each distribution has its own applet.
Author(s): No creator set

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 data. Simonoff (1997) discussed the use of this data set in a second statistics course to illustrate logistic regression. Moore (2000) used an abbreviated form of the data set in a chapter ex
Author(s): No creator set

Attendance and students' school experiences
This report was commissioned by the National Educational Welfare Board (NEWB) in Ireland. It is an exploratory study which draws together literature and findings related to characteristics of school attendance by pupils in Irish primary and post-primary schools. It uses a number of data sources, particularly re-working data collected by the Economic and Social Research Institute (ESRI) and the NEWB. In particular, it highlights issues relating to poor attendance, discussing definitions of terms
Author(s): No creator set

Research Fundamentals
This module will introduce students to demographic and statistical language and terms and encourage critical thinking and extrapolation skills.
Author(s): No creator set

Competition Within and Between Species of Parasitoid Wasps
Although competition plays a significant role in communities, it is sometimes difficult to demonstrate the complexity of competitive interactions to an introductory class. This exercise investigates the effects of competition on reproduction within and between two species. Students design an experiment by placing females on a host, alone, or with conspecific or interspecific competitors. In a subsequent lab, students gather data on the number of offspring produced by females under each condition
Author(s): No creator set

Community Ordination Utilizing Winter Stoneflies
This exercise in community ecology can be carried out in mid-winter and introduces participants to useful taxonomic and statistical procedures.
Author(s): No creator set

1 Your worries and concerns with charts, graphs and tables
Your course might not include any maths or technical content but, at some point during your course, it’s likely that you’ll come across information represented in charts, graphs and tables. You’ll be expected to know how to interpret this information. This unit will help you to develop the skills you need to do this. This unit can be used in conjunction with the ‘More working with charts, graphs and tables’ unit, which looks into more ways to present statistical information and shows y
Author(s): The Open University

Learning outcomes
Your course might not include any maths or technical content but, at some point during your course, it’s likely that you’ll come across information represented in charts, graphs and tables. You’ll be expected to know how to interpret this information. This unit will help you to develop the skills you need to do this. This unit can be used in conjunction with the ‘More working with charts, graphs and tables’ unit, which looks into more ways to present statistical information and shows y
Author(s): The Open University

Elementary Statistics
Elementary Statistics is an introduction to data analysis course that makes use of graphical and numerical techniques to study patterns and departures from patterns. The student studies randomness with emphasis on understanding variation, collects information in the face of uncertainty, checks distributional assumptions, tests hypotheses, uses probability as a tool for anticipating what the distribution of data may look like under a set of assumptions, and uses appropriate statistical models to
Author(s): No creator set

Colour preferences in relation to the foraging performance and fitness of the bumblebee Bombus terre
Bumblebee (Bombus terrestris) colonies showed significant variation in their unlearned preference for violet (bee UV-blue) over blue (bee blue) flowers. Bumblebee colonies with a higher average innate preference for violet (over blue) in the laboratory harvested more nectar per unit time under field conditions. Although this correlation was strong (rs = 0.82), it narrowly missed statistical significance at the 5% level (p = 0.089), but was significant at the 10% level. This increase in foraging
Author(s): Raine, Nigel,Lars Chittka, Chittka

Getting started with SPSS
Handling statistical data is an essential part of psychological research. However, many people find the idea of using statistics, and especially statistical software packages, extremely daunting. This unit takes a step-by-step approach to statistics software through seven interactive activities. No statistics software is needed.
Author(s): The Open University

Fear of Crime: Correlation between Crime Statistics and Demographic Data
The purpose of this module is to introduce students in an online Criminology course to the idea of data analysis using an online analysis program and the General Social Survey. Prior to this module, students will have read several documents describing the scientific method including terminology such as statistical significance, independent and dependent variables, and operationalization. Once students have read this document, they then complete a guided online analysis and turn in their answers
Author(s): No creator set

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
Author(s): No creator set

Statistics for Laboratory Scientists II
This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. Presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the likelihood function, confidence intervals, and hypothesis tests. Topics include experimental design, linear regression, the analysis of
Author(s): No creator set

Statistical Reasoning II
Statistical Reasoning in Public Health II provides an introduction to selected important topics in biostatistical concepts and reasoning through lectures, exercises, and bulletin board discussions. The course builds on the material in Statistical Reasoning in Public Health I , extending the statistical procedures discussed in that course to the multivariate realm, via multiple regression methods. New topics, such as methods for clinical diagnostic testing, and univariate, bivariate, and multivar
Author(s): No creator set

Statistical Reasoning I Course Lectures
This website contains a collection of lecture examples on topics such as describing data, Stata, sampling variability & confidence intervals, paired t-test & hypothesis testing, comparing means, comparing proportions, and survival analysis.