| Java Applets for Visualization of Statistical Concepts
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The website contain sections in Basics, Tests, Regression and Anova. These applets are designed for the purpose of computer-aided education in statistic courses. The approach taken here is based upon visualization and simulation.
Submitted Aug 13, 2004
Updated Aug 16, 2004
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| Bivariate Normal Distribution
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The normal distribution is the classic "bell shaped" distribution of statistics. The bivariate normal distribution has two variables, z1 and z2, possibly dependent. This applet lets you change the correlation between two variables and see how that affects the distribution of dots where the x,y values are the two variables. Source code is available.
Submitted Nov 02, 1999
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| WebCab Probability and Statistics (J2SE Edition)
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This suite consists of four packages: Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis
Testing, Correlation and Linear Regression.
Submitted Sep 19, 2004
by Ben Fairfax
Updated Oct 07, 2004
by Ben Fairfax
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Total Visits: 305
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| Statistical applets
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This collection of of Java applets comes from NWP Associates, Inc. Datasets up to 100 rows, 10 columns can be analyzed for free; anything larger requires a subscription (Distributions, Probability & Stochastic Processes, Statistics and others).
Submitted Nov 02, 1999
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| Introduction to Probability Models
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A random variable is a numerical outcome of a random experiment... The distribution of a random variable is the collection of possible outcomes along with their probabilities. This may be described by a table, a formula, or a probability histogram. If we repeat an experiment many times, we can calculate the sample histogram, which is a bar chart showing the number of times each value of X was observed. This should give us an idea of the probability histogram. In the following applet, the sample histogram for the random variable X, the sum of the values showing on the dice, is plotted. The red plot shows the expected number of occurences of X, calculated as (number of rolls) times P(X=x), where P(X=x) is the probability that X takes on the value x.
Submitted Nov 02, 1999
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| Linear Regression
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This applet lets you mark the locations of order pairs (X,Y), and then determines the equation of the regression line and graphs it.
Submitted Nov 02, 1999
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Total Visits: 195
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| Statistical Tables
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Need Statistical tables? Just point to the URL above and your audience can use them. Code can be downloaded, although I would advise you to wait for my newer version. The current version is not a full "Literate program", it is only semi-literate. This page contains a few of the applets developed in JAVA. The graphical stuff is based on Leigh Brookshaw's Graph2D class. The complete code is available if you are interested.
Submitted Nov 01, 1999
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Total Visits: 190
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| Gambler's Ruin
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Gambler's Ruin is a famous problem in statistics. This applet lets you view it. Source code is avialable.
Submitted Nov 02, 1999
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Total Visits: 151
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| Regression
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After putting points on the graph area the correlation coefficient, regression line and residuals are computed and displayed.
Submitted Nov 03, 1999
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| Statistics Online Computational Resource
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A suite of Java tools for education and statistical computing. The SOCR resource includes: Distribution modelers, experiments, games, analysis and additional Java GUI-based tools.
Submitted Aug 05, 2005
by Ivo Dinov
Updated Aug 09, 2005
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Total Visits: 146
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| Poisson Distribution
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The Poisson Distribution is a discrete distribution which takes on the values X = 0, 1, 2, 3,... In our applet, R. A. is fishing at Mentone Beach and observing the number of sharks seen in area one square mile in different one hour time periods. Use the "Fish" button to run the applet. To change the parameter lambda, type in the value and hit the "Clear" button.
Submitted Nov 02, 1999
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Total Visits: 145
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| Least-Squares fitting of data
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This applet determines a linear or polynomial function that is least-squares fitted to a discrete set of data points. Functions of one variable can be plotted.
Submitted Nov 11, 2001
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Total Visits: 125
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| Statiscope
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Statiscope presents summarizing data and descriptive statistical charts. In the applet you can enter data manually or download data over the Internet. Charts included: Distribution, Probability mass, Density, Box plot, Stem & leaf. Other features such as hypothesis testing and calculation of confidence intervals are also included. The user interface is responsive and friendly, e.g. Statiscope introduces a new funny way of changing the scale. It is intended both for people learning the concepts of statistics and for practical use by researchers of various kinds... Statiscope is also available as a standalone application that has Open and Save menu options.
Submitted Nov 02, 1999
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| Sampling Distribution Simulation
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This Java applet lets you explore various aspects of sampling distributions. When the applet begins, a histogram of a normal distribution is displayed at the topic of the screen.
Submitted Nov 02, 1999
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Total Visits: 108
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| Chisquare
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This applet lets you calculate the chisquare statistic for a simple table, then simulate the chisquare statistic to estimate the P-Value.
Submitted Nov 03, 1999
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Total Visits: 101
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| Normal Probabilities
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This is a more interactive applet than the previous one; it allows the user to drag the ends of the included region with the mouse. This applet is more fun but its accuracy is limited by the resolution of the screen. However, it may be more educational because the user directly experiences the connection between the shaded area under the normal distribution and the probability.
Submitted Nov 02, 1999
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| Correlation
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This is a "Guessing Correlations" applet: you press the button. Four scatter plots should appear. Your job is to match the plots with the correlations. Choose which plot you think goes with each correlation, then you can see the answers.
Submitted Nov 03, 1999
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| Hypergeometric Distribution
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The hypergeometric distribution arises when a random selection (without repetition) is made among objects of two distinct types. The hypergeometric distribution is described by three parameters: N, the total number of objects; R, the number of objects of the first type; and k the number of objects to be chosen. The probability function f(x) is:
f(x) = C(R,x)*C(N-R, k-x) / C(N,k) for x=max(0,k+R-N)..min(R,k) To play with the applet, choose numbers by clicking on the cells. These numbers will be indicated by blue backgrounds. Hit the "play" button and the computer will choose the winning numbers (indicated by red backgrounds). The random variable X is the number of matches between your choices, indicated by magenta backgrounds.
Submitted Nov 02, 1999
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| Virtual Laboratories in Probability and Statistics
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The goal of this project is to provide interactive, web-based modules for students and teachers of probability and statistics. Includes: Special Models, Basic Probability, Basic Statistics.
Submitted Nov 02, 1999
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Total Visits: 80
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| Log Statistics
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This document has the following sections:
Statistics Files, Sorting Statistics, Charting Statistics, Displaying Statistics, Buttons. The Log Statistics page allows you to sort and display service log data in several ways.
Submitted Nov 02, 1999
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Total Visits: 69
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| Brownian motion 3
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In this simulation particles begin a 60-step random walk from the origin. The x-values at the end of the walk are tallied, and a running frequency graph is displayed. This graph tends towards a fixed limit as the number of trials increases: the famous Gaussian distribution (aka, the infamous Bell curve).
Submitted Nov 02, 1999
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| z-scores
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Use to answer all questions which specify a probability and ask for the relevant range of raw or z-scores. Also does transformations between raw scores and z-scores in either direction.
Submitted Nov 02, 1999
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| Rice Virtual Lab in Statistics
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Java applets that demonstrate various statistical concepts.
Submitted Nov 01, 1999
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| Galton's quincunx
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This applet simulates Galton's Board, in which balls are dropped through a triangular array of nails. This device is also called a quincunx.
Submitted Nov 02, 1999
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Total Visits: 52
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| Buffon's Needle
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Buffon's Needle is a famous problem in statistics. This applet lets you play with it (drop needles "many" times").
Submitted Nov 02, 1999
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Total Visits: 49
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| Confidence Intervals for Means
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This applet simulates finding confidence intervals for the mean of a normal random variable. A sample of size 20 is generated from a standard normal random variable. Source code is available.
Submitted Nov 02, 1999
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| Interactive Statistics Pages
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Some Experimental Interactive Statistics Pages at UIUC.
Submitted Oct 30, 1999
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| Power of a Hypothesis Test Applet
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This applet illustrates the fundamental principles of statistical hypothesis testing through the simplest example: the test for the mean of a single normal population, variance known (the Z test).
Submitted Nov 02, 1999
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| Normal Approximation to Binomial
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The initial graph shows the probability distribution associated with flipping a fair coin 12 times defining a head as a success. The vertical lines represent the probabilites of obtaining each of the 13 possible outcomes (0-12 heads).
Submitted Nov 02, 1999
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| Normal Tables
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This applet illustrates how to use "old-fashioned" tables of normal probabilities. This applet is sometimes tempermental and requires a tall browser window.
Submitted Nov 02, 1999
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Total Visits: 37
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| Brownian motion 3b
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In this simulation particles begin a 60-step random walk from the origin. The x-values at the end of the walk are tallied, and a running frequency graph is displayed. This graph tends towards a fixed limit as the number of trials increases: the famous Gaussian distribution (aka, the infamous Bell curve).
Submitted Nov 02, 1999
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Total Visits: 35
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| Central Limit Theorem Applet
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This applet demonstrates the central limit theorem using simulated dice-rolling experiments. An "experiment" consists of rolling a certain number of dice (1-5 dice are available in this applet) and adding the number of spots showing.
Submitted Nov 02, 1999
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Total Visits: 34
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| New Confidence Interval Applet
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This applet is designed to help students understand confidence intervals. Each of the 50 lines on the graph represents a confidence interval for the mean (assuming known variance).
Submitted Nov 02, 1999
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Total Visits: 26
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| Brownian motion 1
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In 1827 the English botanist Robert Brown noticed that pollen grains suspended in water jiggled about under the lens of the microscope, following a zigzag path. you can view a simulation of this in this applet.
Submitted Nov 02, 1999
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| A "Small" Effect Size Can Make a Large Difference
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Each applicant for a job is given a series of tests and interviews from which a numerical "suitability" score is calculated. This score is designed to predict success on the job and is used as the criterion for selecting applicants.
Submitted Nov 03, 1999
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| Leverage points
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This applet shows effect of leverage points on the regression line.
Submitted Nov 03, 1999
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Total Visits: 21
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| IDD Statistics Viewer
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This Java applet is an interactive IDD Latency Statistics Server.
Submitted Nov 02, 1999
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Total Visits: 20
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| Brownian motion 2
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In this simulation a particle starts from the origin and undergoes Brownian motion for 60 steps.
Submitted Nov 02, 1999
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| Tests of proportions
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This applet simulates a series of hypothesis of tests for the value of the parameter p in a Bernoulli random variable. Each column of red and green marks represents a sample of 30 observations. "Successes" are coded by green marks and "failures" by red marks.
Submitted Nov 02, 1999
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Total Visits: 18
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