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 A Practical Approach to the Introductory Political Science Statistics Course This article, created by Gary M. Klass of Illinois State University, contains practical information on teaching statistics to a political science class. The author discusses the numerical data that political scientists use in their research. He presents their interpretation of both "political and social indicator data, often called time series data." The data is shown in both tabular, graphical... http://www.statlit.org/pdf/2004KlassASA.pdf
 Process or Product Monitoring and Control (Engineering Statistics Handbook) This chapter of the NIST Engineering Statistics handbook presents techniques for monitoring and controlling processes and signaling when corrective actions are necessary. It contains an introduction to process control, a discussion of acceptance sampling, introductions to control charts and time series modeling, tutorials for background information and case studies. This is a nice overview of the... http://www.itl.nist.gov/div898/handbook/pmc/pmc.htm
 Time Series Data Library This is a collection of time series datasets covering many application areas, but are all for time series analysis. Some of the topics covered are: agriculture, chemistry, crime, demography, ecology, finance, health, hydrology, industry, labor market, macroeconomics, physics, production, sales, sport, transportation, tourism, tree rings and utilities. The data are in text format, thus they can be... http://robjhyndman.com/TSDL/
 Electric Bill Data This article, created by Bruce J. McLaren and Constance H. McLaren from Indiana State University, describes a dataset containing monthly household electric billing charges for ten years. The data can be used to illustrate graphing, descriptive statistics, correlation, seasonal decomposition, a variety of smoothing methods, ARIMA models, forecasting, and multiple regression. Additionally, the... http://www.amstat.org/publications/jse/v11n1/datasets.mclare...
 Year 13 Statistics (Level 3) Workshop 2003 - Department of Statistics Created by Rachel Cunliffe, Ross Parsonage and Matt Regan, faculty members at Auckland University (New Zealand), this page is a resource for a series of workshops held by the Department of Statistics at the before mentioned school. The page contains links to worksheets, applets, and articles. The author include such topics as: regression, time series analysis, the central limit theorem, and dice... https://www.stat.auckland.ac.nz/~teachers/2003/regression.ph...
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