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1993 New Car Data
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This dataset, created by Robin H. Locke of St. Lawrence University, describes 93 new cars for the 1993 model year with 26 variables, including price, mpg ratings, and engine size. It also illustrates a broad range of statistical techniques such as box-whisker plot, confidence intervals, difference in means, one-way ANOVA, contingency table, scatterplot, regression, and correlation. If further research is required the author has included a list of references.

Subject:
Mathematics
Material Type:
Data Set
Lesson Plan
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
Lock, Robin H.
2 x 2 Contingency Tables
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Created by David Lane of Rice University, this applet simulates experiments using 2 x 2 contingency tables. You specify the population proportions and the sample size and examine the effects on the probability of rejecting the null hypothesis. The author provides instructions and then five different exercises to practice these concepts. Overall, this is a nice interactive resource that allows users a more hands-on approach to statistics.

Subject:
Mathematics
Material Type:
Interactive
Simulation
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
Lane, David M.
ANOVA for Regression
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This site, created by Michelle Lacey of Yale University, gives an explanation, a definition and an example of ANOVA for regression. Topics include analysis of variance calculations for simple and multiple regression, and F-statistics. This is a great overview of this topic.

Subject:
Mathematics
Material Type:
Lesson Plan
Student Guide
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
Lacey, Michelle
Against All Odds: Inside Statistics
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With an emphasis on "doing" statistics, this series goes on location to help uncover statistical solutions to the puzzles of everyday life. Learn how data collection and manipulation Ń paired with intelligent judgement and common sense Ń can lead to more informed decision-making. This series can also be used as a resource for teacher professional development. A video instructional series on statistics for college and high school classrooms and adult learners; 26 half-hour video programs.

Subject:
Education
Mathematics
Material Type:
Lecture
Provider:
Annenberg Learner
Internet Scout Project
Provider Set:
Internet Scout Project
American Mathematical Association of Two-Year Colleges (AMATYC)
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The American Mathematical Association of Two-Year Colleges was founded in 1974. It is the only organization exclusively devoted to providing a national forum for the improvement of mathematics instruction in the first two years of college. AMATYC has approximately 2,500 individual members and more than 100 institutional members in the United States and Canada. Educators in 47 states and one Canadian province are represented through AMATYC's 44 affiliate organizations. AMATYC provides professional development opportunities for educators interested in the first two years of collegiate mathematics instruction through an annual conference, summer institutes, traveling workshops, publications and projects. The ˘ď‹ďĐOnline Resources˘ď‹ď section of the site has links to mathematics materials including algebra, geometry, economics, quantitative literacy, trigonometry, and developmental math.

Subject:
Engineering
Technology
Education
Mathematics
Material Type:
Lesson Plan
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
American Mathematical Society Journals
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A list of mathematics journals with articles on the Web and a list of Web sites for printed journals, with tables of contents of issues, abstracts of papers, actual papers, information about submissions and subscriptions, etc. See also the Annual Listing of New Journals in Mathematics file, which notes newly established journals devoted to papers in mathematics, organized by year.

Subject:
Engineering
History, Law, Politics
Life Science
Mathematics
Chemistry
Physics
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
American Statistical Association: Statistics in Sports
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This section of the American Statistical Association website covers Statistics in Sports. Available here are a few older articles dealing with sports statistics and links to websites containing data for several professional and amateur sports, as well as websites with general news and information about sports, and a listing of official team websites for pro teams. A section called Statistics on the Web provides links to academic departments, conferences, and employers, while another section answers some frequently asked questions about sports statistics as a career. The website also provides an explanation of the Player Game Percentage (PGP) technique and uses the 2004 World Series as an example to demonstrate the technique. Educators will find a link to a website that offers suggestions of ways to incorporate sports statistics in the classroom.

Subject:
Education
Mathematics
Provider:
Internet Scout Project
Provider Set:
Internet Scout Project
Analysis Of Categorical Dependent Variables With SAS And SPSS
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This tutorial, created by Choong-Geun Chung of Indiana University, Bloomington, contains SAS and SPSS instructions for categorical analysis techniques such as logistic regression and probit regression including models for ordered or unordered multiple choices. Key concepts of this lesson include multinomial logistic and conditional logistic regression.

Subject:
Mathematics
Material Type:
Lesson Plan
Student Guide
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
Chung, Choong-Geun
Analysis of Covariance (one-way)
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These pages will perform an analysis of covariance for k independent samples, where the individual samples, A, B, etc., represent k quantitative or categorical levels of the independent variable; DV = the dependent variable of interest; and CV = the concomitant variable whose effects one wishes to bring under statistical control. The pages in this first batch require the direct entry of data, item by item, and as they open you will be prompted to enter the size of the largest of your several samples. The pages in this second batch allow for the import of data from a spreadsheet via copy and paste procedures.

Subject:
Education
Mathematics
Material Type:
Simulation
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
Lowry, Richard, 1940-
Annenberg: Cast Your Vote
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This website by Annenberg Media addresses issues in statistics and polling. To enter the exhibit, you must complete a short online survey about your opinion on polling. Once you enter, you are taken through a year in "a fictitious election campaign for an inside look at the mathematics behind the polls and the news you hear everyday." The website reviews concepts such as random sampling, margin of error, confidence intervals, and ways in which surveys can "go wrong." The presentation is quick and easy to follow, ending with some examples of other instances where statistics comes into our daily lives. Links to related resources offer additional exploration of statistics.

Subject:
Education
Mathematics
Provider:
Internet Scout Project
Provider Set:
Internet Scout Project
The Anthill and Molecular Motion
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This website, created by Paul Trunfio and Gary McGath of Boston University's Center for Polymer Studies, provides the description and instructions for the the Anthill and Molecular Motion Java applet. Some of the topics covered include: mixing, diffusion, and contour plots. Overall, this is a fine resource for any mathematics classroom, especially one interested in statistics.

Subject:
Education
Mathematics
Material Type:
Interactive
Simulation
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
McGath, Gary
Trunfio, Paul
Applied Management Science: Making Good Decisions
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Hossein Arsham, Professor of Management Science and Statistics at the University of Baltimore, developed this site for his Applied Management Science course. The intent of the course is "to provide decision makers and analysts with tools that provide a logical structure for understanding problems as well as mathematical techniques for solving the problems that have been formulated." The web site contains notes on the methodology of management science, implementation of management science projects, optimization, linear programming, and formulation of network problems.

Subject:
Education
Mathematics
Material Type:
Diagram/Illustration
Full Course
Textbook
Provider:
AMSER: Applied Math and Science Education Repository
Internet Scout Project
Provider Set:
AMSER: Applied Math and Science Education Repository
Internet Scout Project
Author:
Arsham, Hossein.
Assessing Product Reliability (Engineering Statistics Handbook)
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Created by Alan Heckert and James Filliben, this chapter of the National Institute of Standard and Technology (NIST) Engineering Statistics handbook __ďĐdescribes the terms, models and techniques used to evaluate and predict product reliability. It contains an introduction, discussions on the assumptions, and sections on reliability data collection and analysis. The lesson is a fairly detailed overview of the statistical theories and applications of product reliability.

Subject:
Engineering
Mathematics
Material Type:
Lesson Plan
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
Filliben, James
Heckert, Alan
The Assessment Challenge in Statistics Education
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Created by authors Iddo Gal and Joan Garfield, respectively of the University of Haifa, Israel and University of Minnesota, this site provides the contents of the online book "The Assessment Challenge in Statistics Education." The authors structure the contents of the site in this manner: preface, curricular goals and assessment frameworks, assessing conceptual understanding of statistical ideas, innovative models for classroom assessment and assessing understanding of probability. This is a great resource filled with lesson plans, nearly nineteen, concerning statistics education.

Subject:
Education
Mathematics
Material Type:
Lesson Plan
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
Gal, Iddo
Garfield, Joan
BGIM : Maximum Likelihood Estimation Primer
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Created by Shaun Purcell of the Social, Genetic and Development Pyschiatry Research Centre, this set of pages is an introduction to the maximum likelihood estimation. It discusses the likelihood and log-likelihood functions and the process of optimizing. The author breaks the page down in this way: introduction, model-fitting, MLE in practice, likelihood ratio test, MLE analysis of twin data and MLE analysis of linkage data. The author offers further reading for extra study of this statistical method.

Subject:
Mathematics
Material Type:
Lesson Plan
Student Guide
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
Purcell, Shaun
Backpack Project
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Spurred by an orthopedic surgeon's report recommending how much weight a person should carry, teams of fifth and twelfth graders examined student backpack weights in relation to body weights in all three divisions of their school, weighing over 800 students and their backpacks and analyzing the data by gender, grade, and school division, using the Minitab statistics software package. The collaborative study includes rationale, hypotheses (predictions), methods (including explanation of boxplots), statistical results, analysis of the data, interviews (of administrators and nurse), and the student teams' recommendations for a healthy back. The site also offers related links about backpack weight and health concerns, and a "Backpack Rap."

Subject:
Engineering
Education
Mathematics
Material Type:
Case Study
Data Set
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
Chauveau, Phy
Backward Probability Template
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Given the population incidence of a certain disease, and the conditional probabilities of positive and negative test results, what are the probabilities for a particular test result of a true positive, true negative, false positive, and false negative? Adaptable to other kinds of conditional situations. Although this page is adaptable to a variety of backward probability situations, its exemplary case is the one in which one is seeking to make sense of the result of a medical test.

Subject:
Mathematics
Material Type:
Interactive
Simulation
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
Lowry, Richard
Bacteria Allocation Using Monte Carlo
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This applet, created by David Hill and Lila Roberts, uses the Monte Carlo technique to simulate a count of bacteria that are present as a result of a certain sampling process. This simulation could be modified to perform other experiments. This experiment is geared towards high school calculus students or probability courses for mathematics majors in college. Students must possess a basic understanding of probability concepts before performing this experiment. Overall, it is a nice activity for a mathematics classroom.

Subject:
Mathematics
Material Type:
Data Set
Interactive
Lesson Plan
Simulation
Student Guide
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
Hill, David R.
Roberts, Lila F.
Basic Linear Correlation and Regression: Data-Import Version
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The following pages calculate r, r-squared, regression constants, Y residuals, and standard error of estimate for a set of N bivariate values of X and Y, and perform a t-test for the significance of the obtained value of r. Allows for import of raw data from a spreadsheet; for samples of any size, large or small.

Subject:
Mathematics
Material Type:
Data Set
Interactive
Simulation
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
Lowry, Richard
Basic Linear Correlation and Regression: Direct-Entry Version
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The following pages calculate r, r-squared, regression constants, Y residuals, and standard error of estimate for a set of N bivariate values of X and Y, and perform a t-test for the significance of the obtained value of r. Values of X and Y are entered directly into individual data cells. This page will also work with samples of any size, though it will be rather unwieldy with samples larger than about N=50. As the page opens, you will be prompted to enter the value of N.

Subject:
Education
Mathematics
Material Type:
Simulation
Provider:
AMSER: Applied Math and Science Education Repository
Provider Set:
AMSER: Applied Math and Science Education Repository
Author:
Lowry, Richard, 1940-