Subscribe to RSS feed
Demonstrations 181 - 200 of 398
Simulating the Birth-Death Process
Probabilistic Interpretation of a Fractional Derivative
The Buffon Noodle Problem
Distribution of Normal Means with Different Sample Sizes
Correlated Lévy Processes via Lévy Copulas
Law of Large Numbers: Dice Rolling Example
Exploring Robustness of Mean-Difference Confidence Intervals
Robustness of Student t in the One-Sample Problem
Student's t-Distribution and Its Normal Approximation
The p-Value in One-Sample Tests for the Mean
Monte Carlo Simulation of Markov Prisoner
Law of Large Numbers: Comparing Relative versus Absolute Frequency of Coin Flips
Impact of Sample Size on Approximating the Uniform Distribution
Illustrating the Central Limit Theorem Using the Quantile Plot for Sums of Unit Exponential Random Variables
Maximum Likelihood Estimation of Ordinary and Finite Mixture Distributions
Sampling Distribution of the Mean and Standard Deviation in Various Populations
Sample Size Formula
Impact of Sample Size on Approximating the Triangular Distribution
Simulated Coin Tossing Experiments and the Law of Large Numbers
Impact of Sample Size on Approximating the Normal Distribution
The #1 tool for creating Demonstrations
and anything technical.
Explore anything with the first
computational knowledge engine.
The web's most extensive
Course Assistant Apps »
An app for every course—
right in the palm of your hand.
Wolfram Blog »
Read our views on math,
science, and technology.
Computable Document Format »
The format that makes Demonstrations
(and any information) easy to share and interact with.
STEM Initiative »
Programs & resources for
educators, schools & students.
Join the initiative for modernizing
Note: Your message & contact information may be shared with the author of any specific Demonstration for which you give feedback.
© 2015 Wolfram Demonstrations Project & Contributors |
Note: To run this Demonstration you need Mathematica 7+ or the free Mathematica Player 7EX
Download or upgrade to
Mathematica Player 7EX
I already have