CAUSEweb.org
http://www.causeweb.org/cwis/index.php?P=Home
CAUSEweb.org RSS Feed.(CAUSE: Consortium for the Advancement of Undergraduate Statistics Education)http://www.causeweb.org/images/logo.jpgCAUSEweb.org
http://www.causeweb.org/cwis/index.php?P=Home
14440CAUSEweb.orgen-useditor@causeweb.orgwebmaster@causeweb.orgTue, 23 Sep 2014 12:00:00 -0400Tue, 20 May 2014 12:00:00 -0400http://www.rssboard.org/rss-2-0-1Confronting Some Statistical Inference Misconceptions
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1301
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1301This lesson poses a series of questions designed to challenge students' possible misconceptions of statistical inference and hypothesis testing. The lesson uses the statistical software, Fathom, and three datasets with information on the number of chips per canister distributed by a snack maker. The data can found at the relation address below.Sun, 24 Feb 2013 09:33:39 -0500Introduction to Statistics Activity on SRS's from the TI-83
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1157
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1157This activity focuses on stratified random samples, how to use the TI-83 to quickly select simple random samples, and explores some of the reasons why we use random samples.Thu, 7 Feb 2013 01:33:14 -0500Understanding the Least-Squares Regression Line
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1274
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1274This applet allows students to explore three methods for measuring "goodness of fit" of a linear model. Users can manipulate both the data and the regression line to see changes in the square error, the absolute error, and the shortest distance from the data point to the regression line.Thu, 7 Feb 2013 01:24:22 -0500DataCounts!
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2337
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2337DataCounts! is an interactive website designed to help integrate social statistics into the classroom setting. Each collection contains a wide variety of datasets that can be viewed online with WebCHIP. DataCounts! also houses a collection of teaching modules that have been created by teachers across the country to integrate social science data into their classes.Fri, 25 Jan 2013 05:40:08 -0500DISCUSS: Critical Path Analysis
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1384
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1384This module introduces critical path analysis and addresses the following topics: Networks; Critical paths; Floats; Activity-on-node (AON) networks. Excel spreadsheets are used to provide examples and exercises.Thu, 24 Jan 2013 06:52:39 -0500DAU StatRefresher
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=507
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=507This site is an index of modules which cover probability and statistics topics including basic probability, random variables, moments, distributions, data analysis including regression, moving averages, exponential smoothing, and clustering.Tue, 22 Jan 2013 10:23:02 -0500A Variation on Coin Tossing Experiments
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1100
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 -0500A Useful Display of a Normal Population
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1125
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1125This article describes how to make a physical model of the normal distribution and use it to illustrate the concepts of sampling distributions, confidence intervals, and hypothesis testing.Mon, 21 Jan 2013 06:42:08 -0500A Practical Study of the Capture/Recapture Method of Estimating Population Size
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1109
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1109This article describes the process the of capturing and recapturing of mobile animals in order to estimate population size.Mon, 21 Jan 2013 06:37:06 -0500A Class Exercise Concerning the Distribution of Plants
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1108
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1108This article describes how an Environmental Science class became involved in a study to confirm the hypothesis that weeds are distributed at random in well established lawns.Mon, 21 Jan 2013 06:32:23 -0500Webinar: Supporting Statistical Thinking Through a Capstone Project
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2232
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2232July 27, 2010 Activity Webinar presented by Herle McGowan, North Carolina State University and hosted by Leigh Slauson, Capital University. Extra materials available for download free of charge. In this webinar, the webinar discusses the end-of-semester project that is used in North Carolina State's introductory statistics course. This project supports statistical thinking by allowing students to apply knowledge accumulated throughout the semester. Students are presented with a research question and must design and carry out an experiment, analyze the resulting data and form a conclusion over the course of several class periods.Sun, 28 Nov 2010 11:46:11 -0500Webinar: Using the Jigsaw Method for Exam Reviews in the Introductory Statistics Classroom
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2231
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2231August 24, 2010 Activity Webinar presented by Jackie Miller, The Ohio State University and hosted by Leigh Slauson, Capital University. Extra materials available for download free of charge. When Dr. Miller took a graduate course in College Teaching, she learned the jigsaw method. The jigsaw is a cooperative learning technique where students work together in a "home" group on a specific task and then are placed into "jigsaw" groups made up of one member from each home group. For example, if there are 25 students in the class, 5 students would be assigned to each of the A, B, C, D, E home groups, and each jigsaw group would each one member from A, B, C, D, and E. While in the jigsaw groups, the students teach each other what they learned in their home groups. Dr. Miller recalls bringing the idea back with her to one of the OSU elementary statistics courses where it has been used successfully since 1996. Recently a graduate teaching assistant (GTA) suggested to other GTAs that this might be good in another introductory statistics course, and the activity has been adopted successfully . As structured, the jigsaw can be used in an exam review in statistics by assigning students to, say, 5 exercises that they need to master before they go to their jigsaw groups to teach others about their exercise. During this webinar, the webinar presents how the jigsaw is done and address questions like: How do you budget your time for this class activity? How do you know that students are teaching the correct answer? How do you know that students are not just furiously writing down answers instead of listening to understand the concept? Can this work for you? By the end of the webinar, hopefully you will be as intrigued as Dr. Miller was to learn about the jigsaw method and will want to try it in your classroom.Sun, 28 Nov 2010 11:39:36 -0500Webinar: Why Not Just Take A Census
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2230
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2230September 28, 2010 Activity webinar presented by Carolyn Cuff, Westminster College and hosted by Leigh Slauson, Capital University. Extra materials available for download free of charge. Students must confront their misconceptions before we can teach them new concepts. Naively, a census is an accurate method to quantify a population parameter. A very brief, memorable and easy to implement activity demonstrates that a census is at best difficult even for a small and easily enumerated population.Sun, 28 Nov 2010 11:31:02 -0500Webinar: Using Your Hair To Understand Descriptive Statistics
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2229
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2229October 26, 2010 Activity Webinar presented by Tisha Hooks, Winona State University and hosted by Leigh Slauson, Capital University. Extra materials available to download free of charge. The purpose of this webinar is to introduce an activity 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.Sun, 28 Nov 2010 11:25:23 -0500Webinar: This Little Piggy Teaches Probability
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2228
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2228November 23, 2010 Activity Webinar presented by Stacey Hancock, Reed College, Jennifer Noll, Portland State University, Sean Simpson, Westchester Community College, and Aaron Weinberg, Ithaca College, and hosted by Leigh Slauson, Capital University. Extra materials available for download free of charge. Many instructors ask students to demonstrate the frequentist notion of probability using a simulation early in an intro stats course. Typically, the simulation involves dice or coins, which give equal (and known) probabilities. How about a simulation involving an unknown probability? This webinar discusses an experiment involving rolling (unbalanced) pigs. Since the probabilities are not equal, this experiment also allows the instructor to have students think about the concept of fairness within games.Sun, 28 Nov 2010 11:18:02 -0500Webinar: Class Experiment: Introduce t-tests and more, with haiku poems.
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2101
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2101June 22, 2010 Activity webinar presented by Paul Roback, St. Olaf College and hosted by Leigh Slauson, Capital University. This webinar describes an in-class activity, motivated by Case Study 1.1.1 in The Statistical Sleuth, in which students compose haiku poems about statistics. Their poems are used to introduce two-sample t-tests and randomization tests. In addition, the in-class experiment leads to good discussion about experimental design issues, where students compare our design to the actual experiment described in Amabile et al.(1985) "Motivation and Creativity: Effects of Motivational Orientation on Creative Writers", Journal of Personality and Social Psychology 48(2): 393-399. I use this activity on the first day of our second course in applied statistics (Statistical Modeling), but it could easily be used in an introductory course as well.Examples of haiku poems which have resulted from this activity can be found under CAUSEweb > Resources > Fun > Poem (direct link), or at www.causeweb.org/cwis/SPT--FullRecord.php?ResourceId=1883.Mon, 12 Jul 2010 05:00:44 -0400Webinar: A Guitar Hero Based Project in Mathematical Statistics
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2100
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2100May 25, 2010 Activity webinar presented by Ivan Ramler, St. Lawrence University and hosted by Leigh Slauson, Capital University. This webinar discusses an undergraduate Mathematical Statistics course project based on the popular video game Guitar Hero. The project included: 1) developing an estimator to address the research objective "Are notes missed at random?", 2) learning bootstrapping techniques and R programming skills to conduct hypothesis tests and 3) evaluating the quality of the estimator(s) under certain sets of scenarios.Mon, 12 Jul 2010 04:49:07 -0400Webinar: Using Games to Teach Design of Experiments
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2055
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2055April 27, 2010 Activity webinar presented by Shonda Kuiper, Grinnell College, and hosted by Leigh Slauson, Capital University. Educational games have had varied success in the past. However, what it means to incorporate games into the classroom has changed dramatically in the last 10 years. The goals of these games are to 1) foster a sense of engagement, 2) have a low threat of failure, 3) allow instructors to create simplified models of the world around us, and 4) motivate students to learn. This webinar uses the same reaction time game to demonstrate a simple 1- 2 day activity that is appropriate for introductory courses as well as an advanced project that encourages students to experience data analysis as it is actually practiced in multiple disciplines. In the introductory activity students are asked to spend 15 minutes playing an on-line game. Data collected from the game is used to demonstrate the importance of proper data collection and appropriate statistical analysis. The advanced project asks students to read primary literature, plan and carry out game based experiments, and present their results.Tue, 11 May 2010 04:45:00 -0400Webinar: Using the Online Dice-Based Golf Game GOLO to Illustrate Probability
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2054
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2054March 23, 2010 Activity webinar presented by John Gabrosek & Paul Stephenson, Grand Valley State University and hosted by Leigh Slauson, Capital University. GOLO is a dice-based golf game that simulates playing a round of golf. GOLO can be used to illustrate basic probability concepts, descriptive summaries for data, discrete probability distributions, order statistics, and game theory. Participants had a chance to play the online version of GOLO.Tue, 11 May 2010 04:35:53 -0400**Stat2Labs
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2047
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2047As mentioned on the home page of this resource "This site presents workbook-style, project-based material that emphasizes real world applications and conceptual understanding. This material is designed to give students a sense of the importance and allure of statistics early in their college career. By incorporating many of the successful reforms of the introductory statistics course into a wide range of more advanced topics we hope that students in any discipline can realize the intellectual content and broad applicability of statistics."Wed, 28 Apr 2010 11:29:41 -0400Webinar: Mites and Wilt Disease - Using Simulation to Examine a 2 x 2 Table
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2009
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2009January 26, 2010 webinar presented by Alicia Gram, Smith College, and hosted by Leigh Slauson, Capital University. This webinar describes an activity that uses data collected from an experiment looking at the relationship between two categorical variables: whether a cotton plant was exposed to spider mites; and did the plant contract Wilt disease? The activity uses randomization to explore whether there is a difference between the occurrence of the disease with and without the mites. The webinar includes a discussion of the learning goals of the activity, followed by an implementation of the activity then suggestions for assessment. The implementation first uses a physical simulation, then a simulation using technology. (Extra materials, including Fathom instructions for the simulation, available for download free of charge).Thu, 4 Feb 2010 02:44:37 -0500Villanova Nursing Research Dataset Archive
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=845
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=845This page contains an index of datasets for nursing related studies. Each dataset is accompanied by a worksheet asking students to analyze certain aspects of the data; a description of the study; and a description of each of the variables used.Wed, 30 Dec 2009 12:58:01 -0500How well can hand size predict height?
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1734
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1734This activity is an example of Cooperative Learning in Statistics.It uses student's own data to introduce bivariate relationship using hand size to predict height. Students enter their data through a real-time online database. Data from different classes are stored and accumulated in the database. This real-time database approach speeds up the data gathering process and shifts the data entry and cleansing from instructor to engaging students in the process of data production.Key words: Regression, correlation data collection, body measurementsWed, 30 Dec 2009 12:44:32 -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 -0500Webinar: Taking your Class for a Walk ... Randomly
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1980
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1980An important idea in statistics is that the amount of data matters. Often this is taught with formulas --- the standard error of the mean, the t-statistic, etc. --- in which the sample size appears in a denominator as √n. This is fine, so far as it goes, but it often fails to connect with a student's intuition. This webinar describes a kinesthetic learning activity --- literally a random walk --- that helps drive home to students why more data is better and why the square-root arises naturally and can be understood by simple geometry. Students remember this activity and its lesson long after they have forgotten the formulas from their statistics class.Sun, 1 Nov 2009 10:32:46 -0500