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14440CAUSEweb.orgen-useditor@causeweb.orgwebmaster@causeweb.orgSat, 1 Nov 2014 12:00:00 -0400Tue, 20 May 2014 12:00:00 -0400http://www.rssboard.org/rss-2-0-1IDEAL Modules
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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 -0500Gallery: Reinterpreting Sidney Richard Percy
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2066A sketch by Anastasia Mandel reinterpreting Cattle by a Lake by Sidney Richard Percy (1862) with the statistical caption "A multimodal distribution with small outliers." This is part of a collection of sketches by Anastasia Mandel and their accompanying statistical captions discussed in the paper "How art helps to understand statistics" (2009) by Stan Lipovetsky and Igor Mandel in volume 4 pages 313-324. Free to use in classrooms and on course websites.Fri, 28 May 2010 10:51:55 -0400Quote: Brown on Normal
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1985"Normal is the average of deviance" is a quote by American writer and political activist Rita Mae Brown (1944 - ). The quote may be found on page 126 of her 1993 novel Venus Envy, spoken by the main character Mary Frazier Armstrong.Sat, 7 Nov 2009 09:48:20 -0500Webinar: Using Web Applets to Foster Active Learning in the Online Statistics Course
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1960August 25, 2009 Activity webinar presented by Michelle Everson, University of Minnesota and hosted by Leigh Slauson, Capital University. In a classroom setting, students can engage in hands-on activities in order to better understand certain concepts and ideas. Replicating hands-on activities in an online environment, however, can be a challenge for instructors. The purpose of this webinar is to present an applet that was created to replicate a "Post-it Note" activity commonly used in classroom sections of an undergraduate introductory statistics course at University of Minnesota. The Post-it Note activity is meant to help students develop a more conceptual understanding of the mean and the median by moving a set of Post-it Notes along a number line. During the webinar, participants have an opportunity to see and experience just how online students are able to interact with an applet named the "Sticky Centers" applet, and the webinar presents the kinds of materials and assignments that have been created to use in conjunction with this applet. The webinar ends with a preview of a newer applet that is being developed in order to replicate the famous "Gummy Bears in Space" activity (presented in Schaeffer, Gnanadesikan, Watkins & Witmer, 1996). A supplemental student handout is available for download free of charge.Thu, 27 Aug 2009 10:16:09 -0400Cartoon: Meaningless Statistics
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1788A cartoon that can be used in teaching about summary statistics. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.Tue, 8 Jan 2008 08:18:20 -0500Using Your Hair to Understand Descriptive Statistics
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1743
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1743The purpose of this activity is to enhance students' understanding of various descriptive measures. In particular, by completing this hands-on activity students will experience a visual interpretation of a mean, median, outlier, and the concept of distance-to-mean.Tue, 22 May 2007 01:42:03 -0400Quantitative Data Activity
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1707This activity explains the important features of a distribution: shape, center, spread, and unusual features. It also covers how to determine the difference between mean and median, and their respective measures of spread, as well as when to apply them to a particular distribution. Graphical displays such as: histograms and boxplots are also introduced in this activity.The corresponding data set for this activity is found at the following web address:http://www.causeweb.org/repository/ACT/food.txtThu, 1 Feb 2007 11:01:50 -0500Cartoon: Office Numbers
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1638A cartoon for teaching about the interpretation of basic summary statistics. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.Sat, 9 Dec 2006 04:03:48 -0500Types of Variable
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1558This lesson on types of variables highlights characteristics of quanitative (discrete/continuous)and qualitative (nominal/ordinal) variables as well as percentages and proportions. A multiple choice test is given at the end.Thu, 31 Aug 2006 02:09:33 -0400Statistics Tutorials Based on SPSS and Minitab
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1527
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1527This collection of tutorials demonstrates various statistical topics with data and provides SPSS and Minitab code. Topics covered: Measures of Central Tendency; Sign Test; Chi-Square; Mann-Whitney Test; Wilcoxon Matched-Pairs Signed-Ranks Test; Kruskal-Wallis One-Way Analysis of Variance; Friedman Two-Way Analysis of Variance; Spearman Rank Correlation; Pearson Product-Moment Correlation; Multiple Regression; t-Test for Independent Samples; t-Test for Matched Pairs; One-Way ANOVA; Two-Way ANOVA.Tue, 29 Aug 2006 06:06:17 -0400Introduction to Quantitative Methods
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1482This course webpage contains 7 lessons for introductory statistics. Each lesson introduces a new statistical topic, provides datasets for exploring concepts, links to instructions for using statistical software, links to online statistical calculators, and provides homework assignments. Topics include: Introduction to Statistical Methods; Graphing & Tabulating Data; Describing Central Tendency, Variability & Skew; Normal Distribution & Standard Scores; Correlation & Regression; Proportions & Contingencies; Sampling & Statistical Inference.Mon, 14 Aug 2006 10:03:29 -0400**Statistics Every Writer Should Know
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1346This site provides an introduction to basic statistical concepts for journalists and writers with little math background. Key Words: Mean; Median; Percent Changes; Per capita; Rates; Standard Deviation; Normal Distribution; Margin of Error; Confidence Interval; Data Analysis; Sample Sizes; Statistical Tests; Student's T. Thu, 29 Jun 2006 04:03:25 -0400Song: Standard Score
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1222Song is simply a quick jingle to help students recall the conceptual interpretation of a standard score (or, z-score), which in turn should help make sense of the formula. May be sung to tune of "Row, Row, Row Your Boat". Recorded June 26, 2009 at the OSU Whisper Room: Larry Lesser, vocals/guitar; Justin Slauson, engineer.Mon, 10 Apr 2006 07:31:41 -0400What 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 -0400NFL Scores and Pointspreads
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1080
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1080The datasets described in this article contain information for all National Football League (NFL)regular season and playoff games played from 1993 to 1996. In addition to game scores, the data give oddsmakers' pointspreads and over/under values for each game. Key Words: Predictions; Wagering.Tue, 26 Jul 2005 02:47:07 -0400Career Records for All Modern Position Players Eligible for the Major League Baseball Hall of Fame
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1077
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1077The dataset described in this article contains data on retired Major League Baseball players, eligible for the MLB Hall of Fame. The data can be used to illustrate descriptive statistical methods (numerical, graphical, and tabular) or inferential statistics (hypothesis testing, confidence intervals, etc.). The data is in .dat format.Tue, 26 Jul 2005 02:20:56 -0400Data from the Television Game Show "Friend or Foe?"
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1071This article describes data from the television game show Friend or Foe. The data can be used to determine factors affecting contestants' strategies using descriptive statistics, testing for differences in means or proportions, and regression analysis. Key Words: Discrete choice analysis.Tue, 26 Jul 2005 01:26:37 -0400An Exhalent Problem for Teaching Statistics
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1070The dataset presented in this article contains information on respiratory function and smoking. The data can be used to explore descriptive statistics, graphical analysis, regression, and observational studies. The data are in .dat format. Tue, 26 Jul 2005 01:23:24 -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 -0400Pay for Play: Are Baseball Salaries Based on Performance?
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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 -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 -0400Sexual Activity
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=945This page provides survey data on the sexual activity of male and female subjects and discusses choosing appropriate statistics to describe the data as well as reporting bias. It also links to a Chance article about the same study. Fri, 13 May 2005 11:58:24 -0400A Positively Skewed Distribution
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=946This assignment asks students to explore a set of data which is positively skewed. The data come from a survey of college students asking how vulnerable they feel about the loss of a parent.Fri, 13 May 2005 11:58:24 -0400Comparing distributions
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=633This simulation shows recorded response times on a simple motor task under two conditions. Various statistics and graphs used to compare the distributions are presented.Thu, 12 May 2005 03:55:00 -0400Dataset Archives
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=843
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=843The datasets on this page are classified by analysis technique (ANOVA, Linear Regression, Markov Chain Monte Carlo, Nonlinear Regression, and Univariate Summary Statistics) and by level of difficulty (lower, average, higher). They were originally intended to test statistical software.Wed, 11 May 2005 01:04:12 -0400