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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-2-0-1Introduction 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 -0500SurfStat Australia
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1174This website serves as an online textbook for introductory statistics, covering topics such as summarizing and presenting data, producing data, variation and probability, statistical inference, and control charts.Thu, 7 Feb 2013 01:20:38 -0500DISCUSS: Critical Path Analysis
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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
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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
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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 -0500A Useful Display of a Normal Population
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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
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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
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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 -0500**Measures of Central Tendency and Outliers
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2080Share with your students why the presence of an outlier affects which measure of central tendency to report. Feel free to modify this Powerpoint presentation to fit the needs of your students. Included at the end are additional online resources to further engage your students in their learning about the mean, median, and mode. The presentation is covered by a Creative Commons Attribution-Share Alike 3.0 License.Sun, 13 Jun 2010 03:58:21 -0400Excel Graphical Simulations for Statistics and Probability
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2056This extensive collection of Excel simulations includes simulations related to flipping coins, tossing die, hypothesis tests, understanding different types of distributions (including sampling distributions), regression, and chi-square. There is even a simulation of the famous birthday problem.Mon, 17 May 2010 09:50:20 -0400**ANOVA Simulation
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2039The two worksheets enable instructors to demonstrate how changes in the magnitude of the treatment effects and of the standard deviation of the error term will impact significance in a One-Way ANOVA model. The user specifies three input values that influence the simulation of random observations. ANOVA calculations are provided for the student, leaving the focus on the interpretation of the results. The mirror site (found at http://misnt.indstate.edu/cmclaren/ANOVA_Note.doc) contains an article that can serve as a teaching note to accompany the worksheets.Fri, 16 Apr 2010 08:18:28 -0400Webinar: Using Data from the Federal Statistical System to Inspire Students
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1989Statistics educators are keenly aware of the value of using real data to help students see the relevance and applicability of statistics. The federal statistical agencies have invested in significant efforts to make data accessible and available. In this webinar, Ron Wasserstein will point you to these resources, discussing their uses and limitations.Wed, 18 Nov 2009 08:14:53 -0500Webinar: Statistics Video Wrappers: Moving It Out of the Classroom with PreLabs
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1970Many introductory Statistics courses consist of two main components: lecture sections and computer laboratory sections. In the computer labs, students often review fundamental course concepts, learn to analyze data using statistical software, and practice applying their knowledge to real world scenarios. Lab time could be better utilized if students arrived with 1) prior exposure to the core statistical ideas, and 2) a basic familiarity with the statistical software package. To achieve these objectives, PreLabs have been integrated into an introductory statistics course. A simple screen capture software (Jing) was used to create videos. The videos and a very short corresponding assignment together form a PreLab and are made available to students to access at appropriate times in the course.Some PreLabs were created to expose the students to statistical software details. Other PreLabs incorporate an available online learning resource or applet which allows students to gain a deeper understanding of a course concept through simulation and visualization. Not all on-line learning resources are ready to use 'as in' in a course. Some may be lacking a preface or description on how they are to be used; others may use slightly different notation or language than your students are accustomed to; a few may even contain an error or item that needs some clarification. One solution to such difficulties was to create a video wrapper so students can see how the applet works while receiving guidance from the instructor.In this webinar we will share the success story of how one introductory Statistics course integrated these video wrappers into the course and the discuss other possible applications.Wed, 23 Sep 2009 02:37:20 -0400Webinar: Sneaking in a Few History Lessons when Teaching Statistics
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1964Many of us, while teaching an introductory statistics course, have mentioned some of the history behind the methodology, perhaps just in passing. We might remark that an English chap by the name of R. A. Fisher is responsible for a great deal of the course content. We could further point out that the statistical techniques used in research today were developed within the last century, for the most part. At most, we might reveal the identity of the mysterious "Student" when introducing the t-test to our class. I propose that we do more of this. This webinar will highlight some opportunities to give brief history lessons while teaching an introductory statistics course.Mon, 31 Aug 2009 12:36:34 -0400Webinar: Putting Your Spotlight on CAUSEweb
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1837Submitting your spotlight presentation from USCOTS 2005 to CAUSEweb is an easy process, and you are in a prime position to submit your work! What better way to have your work showcased than in a peer-reviewed repository of contributions to statistics education? This Webinar will be an opportunity to talk about how to prepare your USCOTS spotlight for submission to CAUSEweb and to discuss the benefits of submission. Please join us to discuss how to put the spotlight on CAUSEweb.Fri, 3 Oct 2008 10:27:35 -0400Independent Samples t-Test: Chips Ahoy® vs. Supermarket Brand
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1746In this hands-on activity, students count the number of chips in cookies in order to carry out an independent samples t-test to see if Chips Ahoy® cookies have a higher, lower, or different mean number of chips per cookie than a supermarket brand. First there is a class discussion that can include concepts about random samples, independence of samples, recently covered tests, comparing two parameters with null and alternative hypotheses, what it means to be a chip in a cookie, how to break up the cookies to count chips, and of course a class consensus on the hypotheses to be tested. Second the students count the number of chips in a one cookie from each brand, and report their observations to the instructor. Third, the instructor develops the independent sample t-test statistic. Fourth, the students carry out (individually or as a class) the hypothesis test, checking the assumptions on sample-size/population-shape. Tue, 22 May 2007 02:06:36 -0400An In-Class Experiment to Estimate Binomial Probabilities
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1745This hands-on activity is appropriate for a lab or discussion section for an introductory statistics class, with 8 to 40 students. Each student performs a binomial experiment and computes a confidence interval for the true binomial probability. Teams of four students combine their results into one confidence interval, then the entire class combines results into one confidence interval. Results are displayed graphically on an overhead transparency, much like confidence intervals would be displayed in a meta-analysis. Results are discussed and generalized to larger issues about estimating binomial proportions/probabilities.Tue, 22 May 2007 02:02:12 -0400A ducks story- introducing the idea of testing (statistical) hypotheses
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1744By means of a simple story and a worksheet with questions we guide the students from research question to arriving at a conclusion. The whole process is simply reasoning, no formulas. We use the reasoning already done by the student to introduce the standard vocabulary of testing statistical hypotheses (null & alternative hypotheses, p-value, type I and type II error, significance level). Students need to be familiar with binomial distribution tables.After the ducks story is finished, the class is asked to come up with their own research question, collect the data, do the hypotheses testing and answer their own research question. The teaching material is intended to be flexible depending of the time available. Instructors can choose to do just the interactive lecture type, interactive lecture + activity, or even add the optional material. Tue, 22 May 2007 01:56:34 -0400Using Your Hair to Understand Descriptive Statistics
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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 -0400Count the Fs: Why a Sample instead of a Census?
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1741This interactive lecture activity motivates the need for sampling. "Why sample, why not just take a census?" Under time pressure, students count the number of times the letter F appears in a paragraph. The activity demonstrates that a census, even when it is easy to take, may not give accurate information. Under the time pressure measurement errors are more frequently made in the census rather than in a small sample. Tue, 22 May 2007 01:25:35 -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 -0400Nature of the chi-square distribution
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1738In this activity, students learn the true nature of the chi-square and F distributions in lecture notes (PowerPoint file) and an Excel simulation. This leads to a discussion of the properties of the two distributions. Once the sum of squares aspect is understood, it is only a short logical step to explain why a sample variance has a chi-square distribution and a ratio of two variances has an F-distribution. In a subsequent activity, instances of when the chi-square and F-distributions are related to the normal or t-distributions (e.g. Chi-square = z2, F = t2) will be illustrated. Finally, the activity will conclude with a brief overview of important applications of chi-square and F distributions, such as goodness-of-fit tests and analysis of variance.Tue, 22 May 2007 12:39:29 -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 -0500