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14440CAUSEweb.orgen-useditor@causeweb.orgwebmaster@causeweb.orgFri, 31 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
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 -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 -0500The Distributions of Sample Statistics
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2041A webpage in which links are provided to histograms of sample statistics (mean, median, standard deviation, maximum etc.) as a function of sample size. Each time the REFRESH button is clicked a new set of 2000 samples is generated.Fri, 16 Apr 2010 09:13:54 -0400**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 -0400Simulating the Effect of Sample Size on the Sampling Distribution of the Mean
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1740This activity allows students to explore the relationship between sample size and the variability of the sampling distribution of the mean. Students use a Java applet to specify the shape of the "parent" distribution and two sample sizes. The simulation then samples from the parent distribution to approximate the sampling distributions for the two sample sizes. Students can see both sampling distributions at the same time making them easy to compare. The activity also allows students to determine the probability of extreme sample means for the different sample sizes so that they can discover that small sample sizes are much more likely than large samples to produce extreme values. Keywords: sampling distribution, sample size, simulation Tue, 22 May 2007 01:20:31 -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 -0400**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 -0500High Exposure
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1149This probability activity discusses the differences among various kinds of studies and which types of inferences can legitimately be drawn from each, as well as how sample statistics reflect the values of population parameters and use sampling distributions as the basis for informal inference. The procedure and assessment are provided.Mon, 12 Sep 2005 01:12:10 -0400Sample Means
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=419This site gives an explanation of, a definition for and an example of sample means. Topics include mean, variance, distribution, and the Central Limit Theorem.Tue, 17 May 2005 05:13:01 -0400Sampling in Statistical Inference
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=412This site gives an explanation, a definition and an example of sampling in statistical inference. Topics include parameters, statistics, sampling distributions, bias, and variability.Tue, 17 May 2005 04:57:40 -0400Java Applets for Visualization of Statistical Concepts
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=435
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=435This collection of applets simulate many different statistical concepts such as: distributions, correlation, hypothesis testing, regression, and ANOVA. Tue, 17 May 2005 03:40:17 -0400Sampling SIM: Simulation Software
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1162This program allows the student to explore the nature of sampling distributions of sample means and sample proportions. The software provides separate windows for building population distributions, drawing and viewing random samples from the population, exploring the behavior of sampling distributions of sample means, and exploring the behavior of confidence intervals. Fri, 13 May 2005 03:13:01 -0400Bootstrapping
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=952This lesson describes bootstrapping in the context of a statistics class for psychology students.Fri, 13 May 2005 12:00:44 -0400Lecture and Lab Things
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=777This page is a collection of examples, demonstrations, and exercises that can be used to motivate a lecture, demonstrate an important point, or create a laboratory exercise for students. Topics include the following: Descriptives, Normal Distribution, Sampling Distributions, Probability, Chi-Square, t tests, Power, Correlation/Regression, One-way Anova, Multiple Comparisons, Factorial Anova, Repeated Measures, Multiple Regression, General Linear Model, Log Linear Models, and Distribution-Free Tests.Fri, 13 May 2005 11:58:24 -0400Simulations and Demonstrations
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=622
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=622This is a collection of applets organized by subject of study and searchable. It contains applets for ANOVA, Binomial Distribution, Central Limit Theorem, Chi Square, Confidence Interval, Correlation, Central Tendency, Effect Size, Goodness of Fit, Histogram, Normal Distribution, Power, Regression, Repeated Measures, Restriction of Range, Sampling Distribution, Skew, t-test, and Transformations.Thu, 12 May 2005 04:35:02 -0400Star Library: Rectangularity
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=893This article describes an interactive activity illustrating sampling distributions for means, properties of confidence intervals, properties of hypothesis testing, confidence intervals for means, and hypothesis tests for means. Students generate and analyze data and through simulation explore these concepts. The activity is completed in three parts. The three parts of the activity can be used in sequence or they can be used individually as “stand alone” activities. This allows the educator flexibility in utilizing the activity. Part I illustrates the sampling distribution of the sample mean. Part II illustrates confidence intervals for the population mean. Part III illustrates hypothesis tests for the population mean. This activity is appropriate for use in an introductory college or high school AP statistics course. Key words: sampling distribution of a sample mean, confidence interval for a mean, hypothesis test on a mean, simulation, random rectangles Thu, 12 May 2005 12:35:15 -0400Star Library: Sampling Distributions of the Sample Mean and Sample Proportion
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=886
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=886In these activities designed to introduce sampling distributions and the Central Limit Theorem, students generate several small samples and note patterns in the distributions of the means and proportions that they themselves calculate from these samples. Outside of class, students generate samples of dice rolls and coin spins and draw random samples from small populations for which data is given on each individual. Students report their sample means and proportions to the instructor who then compiles the results into a single data file for in-class exploration of sampling distributions and the Central Limit Theorem. Key words: Sampling distribution, sample mean, sample proportion, central limit theorem Thu, 12 May 2005 11:20:31 -0400Empirical Distributions
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=482This applet plots the survival function (1-F(t)) of the exponential distribution against the empirical survival function. The empirical survival function is one minus the empirical distribution function.Sat, 12 Mar 2005 12:46:09 -0500Empirical Cumulative Distribution
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=483This applet allows the user to enter data, then returns the values of empirical cumulative distribution function by sorting the data and reporting the height of the curve at each point. It does not show the graph.Sat, 12 Mar 2005 12:42:41 -0500Theoretical Underpinnings of the Bootstrap
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=490This page discusses the theory behind the bootstrap. It discusses the empirical distribution function as an approximation of the distribution function. It also introduces the parametric bootstrap.Sat, 12 Mar 2005 12:24:00 -0500Sampling Distribution of r
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=272This page generates a graph of the sampling distribution of r, the Pearson correlation coefficient. Upon opening, the applet prompts for sample size greater than 6. The applet also displays the probabilities associated with the distribution.Tue, 28 Sep 2004 10:45:05 -0400Sampling Distribution of Sample Mean Differences
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=271
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=271This page generates a graph of the sampling distribution of the difference between two means and displays the probabilities associated with that distribution. Users enter the population standard deviation and the sample sizes, Na and Nb. The applet also calculates the standard error of the sample mean difference.Mon, 27 Sep 2004 11:54:02 -0400Sampling Distribution of Sample Means
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=270
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=270This applet generates a graph of the sampling distribution of sample means and displays the probabilities associated with that distribution. Users enter the mean and standard deviation of the source population and the size of the samples. The applet also calculates the standard error of the sample means.Mon, 27 Sep 2004 11:49:53 -0400Standard Error of Sample Means
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=269This page calculates the standard error of a sampling distribution of sample means when users input the mean and standard deviation of the population and the sample size.Mon, 27 Sep 2004 11:37:19 -0400Standard Error of the Difference Between the Means of Two Samples
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=279
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=279The page displays the sampling distribution and the standard error of the difference between two sample means. To calculate standard error, enter the standard deviation of the source population, along with the sample sizes, Na and Nb, and then click "Calculate". Mon, 27 Sep 2004 11:37:19 -0400