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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-2-0-1A Variation on Coin Tossing Experiments
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1100This article explains a coin tossing activity emphasizing the central limit theorem and binomial distributions.Mon, 21 Jan 2013 06:44:56 -0500Cartoon: Conditional Risk
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2173A cartoon suitable for use in teaching ideas about independence and conditional probability. The cartoon is number 795 from the webcomic series at xkcd.com created by Randall Munroe. Free to use in the classroom and on course web sites under a creative commons attribution-non-commercial 2.5 license.Thu, 18 Nov 2010 04:34:01 -0500Video: IQR in a Box
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1795IQR in a Box is a video that provides a fun rendition of the use of IQR to describe variability and boxplots to describe distributions.Credits: Concept, director, lyrics by Allison Lind, props by Maria Nunez, cinematography by Kristen Jaderlrab, and vocals by Ashok Krishnan, Avi Hakim, and Michelled Dominguez. The video is a parody of a famous Saturday Night Live musical skit by Andy Samberg and Justin Timberlake. (Note: because of the nature of the original Saturday Night Live skit, this video may be more appropriate for use in a club or end-of-term party rather than a classroom setting.)The video was produced in 2007 for Marie Diener-West's course in biostatistics at Johns Hopkins University .Wed, 30 Dec 2009 12:43:37 -0500Cartoon: Shakespeares
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1804A cartoon to teach the idea that patterns will appear in data if you observe enough data at random. The cartoon plays on the famous "million monkeys typing Shakespeare" problem. Extensions of that problem have many applications. For example, allowing for random letters to be randomly changed and then fixed when they agree with the desired text have applications to modeling molecular evolution. 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.Fri, 28 Mar 2008 04:37:55 -0400Cartoon: Education Research Advantages
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1803A cartoon to teach about one difficulty in conducting medical research compared to education research arising from problems in obtaining informed consent from subjects. 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.Fri, 28 Mar 2008 04:23:56 -0400Cartoon: Medical Research Advantages
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1802A cartoon to teach about one difficulty in conducting education research arising from problems in obtaining reliable and valid endpoints. 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.Fri, 28 Mar 2008 04:20:53 -0400Cartoon: The Pollsters
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1801A cartoon to teach about the interpretation of confidence statements. The cartoon plays on the idea of what would happen if the same process was repeated over-and-over again. 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.Fri, 28 Mar 2008 04:14:54 -0400Cartoon: Data Miners
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1800A cartoon to teach about the need for statistical techniques in drawing out the salient features in massive data sets. 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.Fri, 28 Mar 2008 04:08:47 -0400Sampling distribution of the mean
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1793This FLASH based applet illustrates the sampling distribution of the mean. This applet allows the user to pick a population from over 2000 pre-defined populations. The user can then choose size of the random sample to select. The applet can produce random samples in one, 10, 100, or 1000 at a time. The resulting means are illustrated on a histogram. The histogram has an outline of the normal distribution and vertical lines at 1, 2, and 3 standard deviations. The applet can be viewed at the original site or downloaded to the instructors machine.Sat, 26 Jan 2008 05:00:45 -0500*Using an Applet to Demonstrate a Sampling Distribution
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1761This in-class demonstration combines real world data collection with the use of the applet to enhance the understanding of sampling distribution. Students will work in groups to determine the average date of their 30 coins. In turn, they will report their mean to the instructor, who will record these. The instructor can then create a histogram based on their sample means and explain that they have created a sampling distribution. Afterwards, the applet can be used to demonstrate properties of the sampling distribution. The idea here is that students will remember what they physically did to create the histogram and, therefore, have a better understanding of sampling distributions.Sun, 25 Nov 2007 07:21:22 -0500*Using an Applet to Demonstrate Sampling Distributions of Regression Coefficients
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1760This visualization activity combines student data collection with the use of an applet to enhance the understanding of the distributions of slope and intercept in simple linear regression models. The applet simulates a linear regression plot and the corresponding intercept and slope histograms. The program allows the user to change settings such as slope, standard deviation, sample size, and more. Students will then see theoretical distributions of the slope and intercept and how they compare to the histograms generated by the simulated linear regression lines.Sun, 25 Nov 2007 07:12:35 -0500*Influence of Outliers on Correlation
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1759This activity begins with an instructor demonstration followed by a student out-of-class assignment. Students will observe their instructor create a scatterplot and observe how the correlation coefficient changes when outlier points are added. Students are then given a follow up assignment, which guides them through the applet. In addition, the assignment provides insight about outliers and their effect on correlation. This activity will show exactly how outliers numerically change the correlation coefficient value and to what degree.Sun, 25 Nov 2007 07:05:04 -0500*Correlation Guessing Game
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1758In this game activity, students match correlation values with plots generated by the applet. Competition in this game setting encourages students to become more involved in the classroom and attainment of learning objectives. This game is best if used in a lab setting, although it may be modified to fit other classroom situations.Sun, 25 Nov 2007 06:56:47 -0500*Interpreting Graphical Displays of Univariate Distributions
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1757In this activity, students work in groups to provide practical interpretations of graphs, considering shape, center, and spread. Each group posts their interpretation for one graph and critiques other groups' interpretations on other graphs. Students examine key aspects (shape, spread, location, etc) of histograms and stem plots to develop the ability to interpret graphics. This activity gets the students up and out of their seats and working together. It is a good activity for early in a term. The Gallery Walk idea can be adapted for different sized classes but this activity has been designed for classes up to 65 students.Sun, 25 Nov 2007 06:51:26 -0500**Reese's Pieces Samples
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1753Tue, 24 Jul 2007 06:21:50 -0400Statistics Before Your Eyes
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1713This site presents several photographs from real life that demonstrate natural statistical concepts. Each picture shows a statistical distribution made by some pattern occuring in everyday life. An explanation of each picture tells what distribution is being represented and how. Thu, 8 Feb 2007 03:48:05 -0500Understanding the standard deviation: What makes it larger or smaller?
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1613Using cooperative learning methods, this activity helps students develop a better intuitive understanding of what is meant by variability in statistics. Emphasis is placed on the standard deviation as a measure of variability. This lesson also helps students to discover that the standard deviation is a measure of the density of values about the mean of a distribution. As such, students become more aware of how clusters, gaps, and extreme values affect the standard deviation.Mon, 16 Oct 2006 10:48:16 -0400Body Measures: Exploring Distributions and Graphs Using Cooperative Learning
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1612Using cooperative learning methods, this lesson introduces distributions for univariate data, emphasizing how distributions help us visualize central tendencies and variability. Students collect real data on head circumference and hand span, then describe the distributions in terms of shape, center, and spread. The lesson moves from informal to more technically appropriate descriptions of distributions. Mon, 16 Oct 2006 10:45:49 -0400Histogram Sorting Using Cooperative Learning
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1611Using cooperative learning methods, this activity provides students with 24 histograms representing distributions with differing shapes and characteristics. By sorting the histograms into piles that seem to go together, and by describing those piles, students develop awareness of the different versions of particular shapes (e.g., different types of skewed distributions, or different types of normal distributions), and that not all histograms are easy to classify. Students also learn that there is a difference between models (normal, uniform) and characteristics (skewness, symmetry, etc.). Mon, 16 Oct 2006 10:42:54 -0400An Epidemic Applet
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1585This simulation applet shows percent of infection over time for an epidemic. Users specify the number groups, the size of each group, the within group activity rate, the outside group activity rate, the number of initial infectives, and the number of time units.Tue, 19 Sep 2006 04:21:31 -0400Brownian Motion Applet
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1583This applet draws one-dimensional Brownian motion. Click the mouse in the window to start zooming. Click again to stop. Since Brownian motion is self-similar in law, all of the zoomed pictures look the same.Tue, 19 Sep 2006 04:11:31 -0400Gamma Process Applet
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1584This applet draws a Gamma process (a stochastic process with independent increments X(s + t) - X(s).) Click the mouse in the window to start zooming. Click again to stop. The total increase occurs at a countable set of jumps. The simulation gives some idea of this.Tue, 19 Sep 2006 04:11:31 -0400Polls: What Do the Numbers Tell Us?
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1554This tutorial opens with a survey on polling. Upon completing the survey, students are taken through an election example which uses polling to explain random sampling, bias, margin of error, and confidence intervals.Tue, 12 Sep 2006 11:51:51 -0400Common Concepts in Statistics
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1549This glossary gives definitions for numerous statistical terms, concepts, methods, and rules.Mon, 11 Sep 2006 03:28:57 -0400NASA's Global Change Master Directory
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=785The Global Change Master Directory is a very large directory to Earth science data and services. Users can search for datasets by a number of Earth Science topics such as agriculture, atmosphere, oceans, climate indicators, and more. A detailed description is provided for each dataset as well as a link to the data center housing the dataset. Some records link directly to the data. Some of the datasets are in a downloadable format and are ready to use, while others require preparation. Thu, 31 Aug 2006 02:38:05 -0400