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14440CAUSEweb.orgen-useditor@causeweb.orgwebmaster@causeweb.orgThu, 2 Oct 2014 12:00:00 -0400Tue, 20 May 2014 12:00:00 -0400http://www.rssboard.org/rss-2-0-1Introduction to Statistics Activity on SRS's from the TI-83
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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 -0500**Practice Classifying Statistical Problems
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2331On this site, students can practice classifying statistics problems. They first click to check the statistical methods that they want to practice classifying. Then they click the "Submit" button to get a description of a research project that involves a statistical technique. Students then click on the technique that will most likely be used in the project. If they choose the incorrect answer, they must read the hint and try again. When they get something correct, they click on the "Next" button to try another problem.Sun, 1 Apr 2012 10:44:27 -0400**Hypothesis Test For a Population Proportion Using the Method of Rejection Regions
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2115The purpose of this applet is to provide students with guided practice through problems on hypothesis testing for a population proportion using the method of rejection regions.Wed, 1 Sep 2010 01:18:20 -0400Introduction to Levels of Measurement Module
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2099In this module, students can test their knowledge of levels of measurement by attempting to determine the the level of measurement of ten different variables. For each variable, a statement is also provided and students can indicate whether the statement about the variable is valid or invalid (given the way in which the variable was measured). There is also a brief "refresher" included here about levels of measurement.Fri, 9 Jul 2010 02:37:04 -0400**Levels of Measurement Game
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2025This tool provides individuals with opportunities to quiz themselves on levels of measurement in a game-like environment much like "Who Wants to be a Millionaire."Wed, 17 Mar 2010 05:54:42 -0400Villanova Nursing Research Dataset Archive
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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 -0500Video: Statistically Speaking
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1991Statistically Speaking is a 5 minute 35 second video that can be used in discussing various concepts in descriptive statistics. The video was written, directed, and produced by Cameron W. Hatch and the cast includes (order of appearance) Mala Grewal, Sally Atkinson, Griffin Hatch, Jeff Hatch, Matt Burnham, and Sylvia Burnham.Mon, 7 Dec 2009 10:01:35 -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** Guessing Correlations
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=363This is a basic web application that allows practice with matching points on a scatterplot to the appropriate correlation coefficient, r. Applet provides four scatterplots to match with four numeric correlations via radio buttons. After making selections, students click to see "correct" answers and keep a running total of proportion of correct matches, then may select four more plots.Tue, 29 May 2007 01:48:49 -0400Simulating Size and Power Using a 10-Sided Die
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1739This group activity illustrates the concepts of size and power of a test through simulation. Students simulate binomial data by repeatedly rolling a ten-sided die, and they use their simulated data to estimate the size of a binomial test. They carry out further simulations to estimate the power of the test. After pooling their data with that of other groups, they construct a power curve. A theoretical power curve is also constructed, and the students discuss why there are differences between the expected and estimated curves. Key words: Power, size, hypothesis testing, binomial distribution Tue, 22 May 2007 12:42:19 -0400How well can hand size predict height?
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1736This activity 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.Tue, 22 May 2007 12:20:18 -0400*Investigating the Modernity of the University Library
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1735This activity makes use of a campus-based resource to develop a "capstone" project for a survey sampling course. Students work in small groups and use a complex sampling design to estimate the number of new books in the university library given a budget for data collection. They will conduct a pilot study using some of their budget, receive feedback from the instructor, then complete data collection and write a final report. Tue, 22 May 2007 12:15:14 -0400Sample Survey Activity
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1709This activity stresses the importance of writing clear, unbiased survey questions. It explore the types of bias present in surveys and ways to reduce these biases. In addition, the activity covers some basics of surveys: population, sample, sampling frame, and sampling method. Thu, 1 Feb 2007 11:15:00 -0500Regression Activity
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1708This activity focuses on basic ideas of linear regression. It covers creating scatterplots from data, describing the association between two variables, and correlation as a measure of linear association. After this activity students will have the knowledge to create output that yields R-square, the slope and intercept, as well as their interpretations. This activity also covers some of the basics about residual analysis and the fit of the linear regression model in certain settings.The corresponding data set for this activity, 'BAC data', can be found at the following web address:http://www.causeweb.org/repository/ACT/BAC.txtThu, 1 Feb 2007 11:10:50 -0500Quantitative 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 -0500Inference for Proportions Activity
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1706This activity provides practice for constructing confidence intervals and performing hypothesis tests. In addition, it stresses interpretation of confidence intervals and comparison and application of results in context. Thu, 1 Feb 2007 10:55:58 -0500**Inference for Means Activity
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1705This activity enables students to learn about confidence intervals and hypothesis tests for a population mean. It focuses on the t-distribution, the assumptions for using it, and graphical displays. The activity also focuses on how to interpretations a confidence interval, a p-value, and a hypothesis test.Thu, 1 Feb 2007 10:53:22 -0500Introduction to Experiments Activity
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1704This activity will allow students to learn the difference between observational studies and experiments, with emphasis on the importance of cause-and-effect relationships. The activity will also familiarize students with key terms such as factors, treatments, retrospective and prospective studies, etc.Wed, 31 Jan 2007 03:53:15 -0500Categorical Data Activity
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1703This activity will allow students to familiarize themselves with technology and its use in calculating marginal, conditional, and joint distributions, as well as making conclusions from these tabular and graphical displays.The corresponding data set 'Pizza Data' is located at the following web address:http://www.causeweb.org/repository/ACT/PIZZA.TXTWed, 31 Jan 2007 03:43:33 -0500Instructors Notes for the t-distribution activity
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1702The t-distribution activity is a student-based in-class activity to illustrate the conceptual reason for the t-distribution. Students use TI-83/84 calculators to conduct a simulation of random samples. The students calculate standard scores with both the population standard deviation and the sample standard deviation. The resulting values are pooled over the entire class to give the simulation a reasonable number of iterations.This document provides the instructor with learning objectives, context, mechanics, follow-up, and evidence from use associated with the in-class activity.Wed, 31 Jan 2007 03:18:46 -0500Simulation of the t-distribution
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1701The t-distribution activity is a student-based in-class activity to illustrate the conceptual reason for the t-distribution. Students use TI-83/84 calculators to conduct a simulation of random samples. The students calculate standard scores with both the population standard deviation and the sample standard deviation. The resulting values are pooled over the entire class to give the simulation a reasonable number of iterations. Wed, 31 Jan 2007 03:10:16 -0500Psych 431 Latent Variable Models
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1529This course website provides materials for teaching and learning path analysis. Materials include Regression Review, Introduction to Path Notation, Standardized Path Models, Unstandardized Path Models, Matrix Algebra, and many SAS programs. Wed, 30 Aug 2006 11:03:30 -0400Survival Analysis
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1510This Biostatistics course in Survival Analysis contains links to PDF and text reference materials as well as SAS and Excel files. Homework is also provided in PDF documents. Tue, 29 Aug 2006 04:42:24 -0400Introduction to Quantitative Methods
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1482
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 -0400Hypothesis Test Exercise
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1451This exercise checks users hypothesis testing skills. Poems by the same author have on average 6.9 new words with a standard deviation of 2.7 words. A new group of poems has on average 8.2 new words. Were these new poems written by the same author? A calculator is provided which calculates probabilities and quantiles for the binomial, normal, Poisson, t, F, and Chi-square distributions.Tue, 1 Aug 2006 02:34:40 -0400