Bookmark Collection

Introduction to Statistics: Virtual Lab

Good understanding in Nature of Probability and Statistics, Frequency Distributions and graphs, Data Description, Normal Distribution, Probability and counting Rules, Confidence Intervals, Hypothesis Testing, Correlation and Regression.

Date Added to MERLOT:: April 2, 2015
Created by:: Phyllis Okwan
License:

Collection Content

Rice Virtual Lab in Statistics (Open (Access) Textbook)
Quick Calcs Online Calculators for Scientists (Assessment Tool)
Rossman/Chance Applet Collection (Statistics/Probability) (Simulation)
Sampling Distribution of the Mean Tutorial (Tutorial)
Flash Mathlets (Animation)
Stat2Labs (Collection)
Linear Regression Calculator (Simulation)
Hypothesis Test for a Proportion (Tutorial)

This Java applet tutorial prompts the user to input the components of a hypothesis test for a proportion. Hints are... More

This Java applet tutorial prompts the user to input the components of a hypothesis test for a proportion. Hints are provided whenever the user enters an incorrect value. Once the steps are completed and the user has chosen the correct conclusion for accepting or rejecting the null hypothesis, a statement summarizing the conclusion is displayed. The applet is supported by an explanation of the steps in hypothesis testing and a description of one-tailed and two-tailed tests.
ARTIST Assessment Builder (Quiz/Test)

A searchable database of more than 1000 test questions for introductory statistics concepts. The user is prompted to... More
Lecture 14: Sampling and Monte Carlo Simulation (Presentation)

This video was recorded at 6.00SC Introduction to Computer Science and Programming, Spring 2011 . This lecture starts... More

This video was recorded at 6.00SC Introduction to Computer Science and Programming, Spring 2011 . This lecture starts with some examples of how to use pylab's plotting mechanisms. It then returns to the topic of using probability and statistics to derive information from samples. Topics covered: Plotting, randomness, probability, Pascal's algorithm, Monte Carlo simulation, inferential statistics, gambler's fallacy, law of large numbers.
Guessing Correlations (Simulation)

Demonstrates Correlation Coefficients in Statistics.