A 14-chapter, free online textbook in general introductory statistics that has been built up by wiki-style contributions from named contributors. Each chapter has multiple sections, each with key points, definitions, text, images, and quizzes. Some customisation and adaptation is allowed by the site's free licence. Paying a fee (per student per class) unlocks other customisation features such as VLE integration.
Assessment Materials in Statistics for Economists
Detailed lecture notes in PDF, reading list, past exams, and assignments from a 2009 course based on Larsen and Marx. Introduction to Mathematical Statistics and Its Applications. Available in Turkish as well as English.
This is an open online course, available freely to independent learners but with a fee for students who want feedback from an instructor. The course makes much use of online text, diagrams and interactive assignments. It is comprised of four units: Exploratory Data Analysis, Producing Data, Probability and Inference. These are subdivided into a total of twelve modules and more than two hundred "pages" of material. It is similar to the companion course on Statistical Reasoning, but with a more classical treatment of probability.
Free site combining short video tutorials and online self-test quizzes. The videos can also be viewed in YouTube. The top-level topics are Independent and dependent events; Probability and combinatorics; Descriptive statistics; Random variables and probability distributions; Regression; and Inferential statistics. Each of these is broken down into dozens of points. There are also forums for asking questions related to the material.
This is an open online course, available freely to independent learners but with a fee for students. The course makes much use of online text, diagrams and interactive assignments. It is comprised of four units: Exploratory Data Analysis, Producing Data, Probability and Inference. These are subdivided into a total of twelve modules and more than two hundred "pages" of material.
This course webpage supports an introductory module on quantitative economics as taught by Fowad Murtaza and Domenico Tabasso at the University of Essex in 2009/10. It introduces students to the methods of quantitative economics, i.e. to how data are used in economics. Beginning from an elementary level (assuming no background in statistics), the course shows how economic data can be described and analysed. The elements of probability and random variables are introduced in the context of economic applications. The probability theory enables an introduction to elementary statistical inference: parameter estimation, confidence intervals and hypothesis tests. With these foundations, students are then introduced to the linear regression model that forms a starting point for econometrics. It includes a course outline / handbook, lecture presentations, lecture notes, coursework assignments, problem sets with solutions and statistical data.
These SurfStat exercises with solutions, contain question sheets for introductory statistics and use simple linking to direct the reader to the answers.
The Introduction to Business Statistics Database (IBSD) contains more than eight hundred questions, about half multiple-choice, with answers at the foot of the page. They are selected from a huge database of questions and answers developed under National Science Foundation (NSF) funding in the mid 1970s.
HyperStat online is an introductory statistics textbook by David Lane of Rice University. It is arranged into 18 chapters, uses many interactive demonstrations and the textual content is broken into small chunks on successive pages. Each chapter ends with exercises, and offers selected answers. It also includes links to related material, recommended books and more information on how to use HyperStat in teaching.
Lecture slides, practice exams and online tutorials in R from a course in "how to learn from data and understand uncertainty using the ideas of probability theory and statistics" given in 2019
This course page supports an MBA course at the University of Portland, as taught by Todd Easton in 2008. It covers Statistical and Quantitative Analysis and presents tools for descriptive statistics and details their effective use. The page features a range of course materials - syllabus, past exams, Java applets etc. but perhaps most importantly it includes a booklet on Excel skills, with accompanying data.