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Statistical Java
This is a collection of applets regarding various topics in statistics. Topics include Central Limit Theorem, Probability Distributions, Hypothesis Testing, Power, Confidence Intervals, Correlation, Control Charts, Experimental Design, and Data Analysis.
Author(s): S.Dorai-Raj,C.Anderson-Cook,T.Robinson

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Confidence Intervals
The applets in this section of Statistical Java allow you to see how levels of confidence are achieved through repeated sampling. The confidence intervals are related to the probability of successes in a Binomial experiment.
Author(s): S.Dorai-Raj,C.Anderson-Cook,T.Robinson

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The Central Limit Theorem
The applets in this section of Statistical Java allow you to see how the Central Limit Theorem works. The main page gives the characteristics of five non-normal distributions (Bernoulli, Poisson, Exponential, U-shaped, and Uniform).
Author(s): S. Dorai-Raj,C. Anderson-Cook,T. Robinson

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Control Charts
The applets in this section allow you to see how the common Xbar control chart is constructed with known variance. The Xbar chart is constructed by collecting a sample of size n at different times t.
Author(s): S. Dorai-Raj,C. Anderson-Cook,T. Robinson

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Correlation
The applets in this section allow you to see how different bivariate data look under different correlation structures. The Movie applet either creates data for a particular correlation or animates a multitude data sets ranging correlations from -1 to 1.
Author(s): S. Dorai-Raj,C. Anderson-Cook,T. Robinson

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Data Analysis
The applet in this section allows for simple data analysis of univariate data. Users can either generate normal or uniform data for k samples or copy and paste data from another source to a text box. A univariate analysis is performed for all k samples.
Author(s): S. Dorai-Raj,C. Anderson-Cook,T. Robinson

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The Weibull Distribution
This applet allows the user to adjust the alpha (rate) and the beta (scale) parameters of the Gamma distribution with a slider or manual input. The user can also indicate a model (density, hazard, or reliability).
Author(s): S.Dorai-Raj,C.Anderson-Cook,T.Robinson

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The T Distribution
This applet allows the user to adjust the degrees of freedom of the T Distribution with a slider or manual input. The applet allows the user to fix the x and or y axes. The user immediately sees how this affects the shape of the graph.
Author(s): S.Dorai-Raj,C.Anderson-Cook,T.Robinson

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Exponential Probabilities
The applet in this section allows you see how probabilities are determined from the exponential distribution. The user determines the mean of the distribution and the limits of probability. Three different probability expressions are available.
Author(s): S. Dorai-Raj,C. Anderson-Cook,T. Robinson

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The Negative Binomial Distribution
This applet allows the user to adjust the value of r and p of the Negative Binomial Distribution with a slider or manual input. The applet allows the user to fix the x and or y axes. The user immediately sees how this affects the shape of the graph.
Author(s): S.Dorai-Raj,C.Anderson-Cook,T.Robinson

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Normal Distribution
The applets in this section allow users to see how probabilities and quantiles are determined from a Normal distribution. For calculating probabilities, set the mean, variance, and limits; for calculating quantiles, set the mean, variance, and probability.
Author(s): S. Dorai-Raj,C. Anderson-Cook,T. Robinson

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The Poisson Distribution
This applet allows the user to adjust the value of lambda of the Poisson distribution with a slider or manual input. The applet allows the user to fix the x and or y axes. The user immediately sees how this affects the shape of the graph.
Author(s): S.Dorai-Raj,C.Anderson-Cook,T.Robinson

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Power Applet
The applets in this section of Statistical Java address Power. Users can perform one or two tailed tests for proportions or means for one or two samples. Set the parameters and drag the mouse across the graph to see how effect size affects power.
Author(s): S.Dorai-Raj,C.Anderson-Cook,T.Robinson

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Regression
This applet from Statistical Java allows the user to generate bivariate data for analysis with simple linear regression. The page describes the equations used to generate the data and estimate the regression lines.
Author(s): S.Dorai-Raj,C.Anderson-Cook,T.Robinson

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T Probabilities
The applet in this section allows you to see how the T distribution is related to the Standard Normal distribution by calculating probabilities. The T distribution is primarily used to make inferences on a Normal mean when the variance is unknown.
Author(s): S. Dorai-Raj,C. Anderson-Cook,T. Robinson

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Simulation of the t-distribution
The 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.
Author(s): Creator not set

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Instructors Notes for the t-distribution activity
The 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.
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Basic French: Ratounet sings Comment tu t'appelles
Ratounet, your French tutor, sings "comment tu t'appelles" in French, lyrics at http://frenchspanishonline.com/beginnersfrench/freefrench.html
Author(s): No creator set

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Analysis of a selection of educational ICT systems for mathematics
The deliverable describes a grid that has been designed to study ILEs (Iteractive Learning Environments) in arithmetic and algebra, a process for choosing 6 ILEs to be studied and the result of the studies. The studied ILES are: ActiveMath, AnimalWatch, Cognitive Tutor, Math-Teacher Plus, MatXpert, Ms. Lindquist.,deliverable D20.5.1 from ERT Telma in the NoE Kaleidscope
Author(s): Nicaud Jean-François,Alshwaikh Jehad,argyro papad

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Diagnostic models of intelligent tutor system for teaching skills to construct control object freque
In this paper one solution for teaching skills to construct the control object frequency characteristics method is described. Student’s mistakes are discovered and classified. Based on signal-parametric approach to fault diagnosis in dynamic systems mathematical diagnostic models which allow detecting mistake classes by comparing student calculated results and system calculated results are created. Features of proposed diagnostic models application are presented. Intelligent tutor system is dev
Author(s): Kulik Anatoly,Chukhray Andrey

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