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14440CAUSEweb.orgen-useditor@causeweb.orgwebmaster@causeweb.orgTue, 2 Sep 2014 12:00:00 -0400Tue, 20 May 2014 12:00:00 -0400http://www.rssboard.org/rss-2-0-1IDEAL Modules
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1304
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1304The modules in this collection discuss numerous statistical topics with examples and Java applets. Topics covered: Variable Types; Calculations; Histograms; Moments; Quantiles; Probability Definitions, Laws, and Simulations; Binomial, Poisson, and Normal Distributions, Normal Approximation to the Binomial, Central Limit Theorem, Confidence Intervals, Hypothesis Testing, Control Charts, Contingency Tables, Correlation, and Regression.Sun, 24 Feb 2013 10:07:30 -0500Webinar: Hand-size versus Height: a Real-time activity
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1992
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1992November 24, 2009 Activity webinar presented by Carl Lee, Central Michigan University, and hosted by Leigh Slauson, Capital University. This webinar introduces a real-time online hands-on activity database for teaching introductory statistics. One particular activity, "How well can hand size predict height?", is used to engage students with a real-time activity in order to learn bivariate relationships. Various other activities can be found at stat.cst.cmich.edu/statact. The real-time database approach speeds up the process of data gathering and shifts the focus in order to engage students in the process of data production and statistical investigation.Wed, 9 Dec 2009 10:31:17 -0500What Does It Take to Heat a New Room? Estimating Utility Demand in a Home
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1090
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1090This article describes a dataset containing energy use data for single-family homes and monthly weather data in the Boston area over a seven year period. The data can help illustrate concepts like central tendency, dispersion, time series analysis, correlation, simple and multiple regression, and variable transformations. Key Words: measurement; forecasting.Tue, 26 Jul 2005 03:44:36 -0400Using EDA, ANOVA and Regression to Optimise some Microbiology Data
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1089
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1089This article describes a dataset containing information on bacterium culturing. Students can use graphical methods, one-way and two-way ANOVA, and multiple polynomial regression to estimate the optimal conditions for bacteria growth. Key Words: Analysis of variance; Exploratory data analysis; Interactions; Optimisation; Outlier.Tue, 26 Jul 2005 03:39:29 -0400Getting What You Pay For: The Debate Over Equity in Public School Expenditures
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1086
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1086This article addresses a dataset on public school expenditures and SAT performance. Key Words: Multiple regression; Omitted variable bias; Partial correlation; Scatterplot.Tue, 26 Jul 2005 03:20:27 -0400Electric Bill Data
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1067
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1067This article 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.Tue, 26 Jul 2005 01:09:06 -0400Nonrandom Risk: The 1970 Draft Lottery
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1066
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1066This article presents a dataset containing the 1970 draft lottery information, which illustrates a nonrandom procedure. Key Words: Chi-square; Correlation; Exploratory data analysis; Graphical analysis; Randomness; Regression.Tue, 26 Jul 2005 01:02:18 -0400Pay for Play: Are Baseball Salaries Based on Performance?
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1060
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1060The dataset presented in this article provides the salary and performance data for non-pitchers for the 1992 Major League Baseball season. Exploratory data analysis is used to determine a suitable regression model for the data. Key Words: Model selection and validation; Stepwise model selection.Tue, 26 Jul 2005 12:15:29 -04001993 New Car Data
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1057
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1057This dataset 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. Tue, 26 Jul 2005 11:55:07 -0400The Regression Line and Correlation : Unit Overview
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=975
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=975This Unit Plan includes 4 lessons covering Correlation and Regression. Students will use interactive computer-based tools to investigate the relationship between a set of data points and a curve used to fit the data points. Students will be ablt to investigate relationships between variables using linear, exponential, power, logarithmic, and other functions for curve fitting.Mon, 23 May 2005 03:39:49 -0400Exploring Linear Data
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=971Students model linear data in a variety of settings that range from car repair costs to sports to medicine. Students will construct scatterplots of two-variable data; interpret individual data points; make conclusions about trends in data, especially linear relationships; and estimate and write equations of lines of best fit.Mon, 23 May 2005 03:10:22 -0400What are outliers in the data?
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=955
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=955This excerpt from Engineering Statistics Handbook gives a definition for and examples of outliers. A sub-page also discusses Grubbs' Test for OutliersSun, 15 May 2005 06:01:10 -0400Explanatory Style and Athletic Performance
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=942
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=942As described in the web page itself: "This document was prepared as an illustration of the use of both t tests and correlation/regression analysis in drawing conclusions from data in an actual study." The study compares athletic performance of swimmers that are optimists vs. pessimists.Fri, 13 May 2005 11:46:36 -0400Against All Odds: 8. Describing Relationships
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=606
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=606This free online program describes "how to use a scatterplot to display relationships between variables. Patterns in variables (positive, negative, and linear association) and the importance of outliers are discussed. The program also calculates the least squares regression line of metabolic rate y on lean body mass x for a group of subjects and examines the fit of the regression line by plotting residuals." This individual video is accessed by scrolling down to the "Individual Program Descriptions - 8. Describing Relationships" and click the "VOD" icon at the top-right of the description. Thu, 12 May 2005 12:15:01 -0400Statistical Applets: Two Variable Statistical Calculator
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=561
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=561This applet calculates correlation and regression information and displays graphs for a number of data sets from the text “Practice of Business Statistics.” Users can also enter their own data. Wed, 6 Apr 2005 02:44:24 -0400Exploratory Data Analysis Case Studies (Engineering Statistics Handbook)
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=493This part of the NIST Engineering Statistics Handbook contains case studies for Exploratory Data Analysis. Some of the topics include normal and uniform random numbers, reliability using airplane glass failure times, and analysis of primary factors using ceramic strength.Sat, 12 Mar 2005 08:36:19 -0500Statistics Tools
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1595
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1595This collection of calculators allows users to perform a number of statistical applications. Each provides background on the procedure and an example. Users can compute Descriptive Statistics and perform t-tests, Chi-square tests, Kolmogorov-Smirnov tests, Fisher's Exact Test, contingency tables, ANOVA, and regression.Wed, 28 Jul 2004 02:47:43 -0400Multiple Regression
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1394
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1394This resource explains Multiple Regression and concepts associated with it. Key Words: Predicted values; Residuals; Dummy Variables; Interaction Effects; T-Test; Regression Coefficients; Correlation; Partial Correlation; R-Squared; Adjusted R-Squared; Multicollinearity; Variance-Inflation Factors; Transformation; Cook's Distance; Validity; Durbin-Watson Coefficient.Tue, 27 Jul 2004 01:44:08 -0400Correlation
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=244
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=244This page gives a description of correlation, Pearson's r, Spearman's rho. There are some scatterplots illustrating the different values of r.Tue, 27 Jul 2004 09:58:28 -0400