In 2005, he received the CAUSEweb Resource of the Year Award and the Merlot Classics Award for the StatCrunch project. In 1997, he began to develop a complete online data analysis package called StatCrunch, which has blossomed into one of the most-used statistical resources on the web. To date, he has developed more than 50 such applets-many of which now accompany introductory statistics textbooks. West started to construct interactive web-based java applets that help students understand difficult statistical concepts. Shortly after completing his PhD in Statistics at Rice University in 1994, Webster West began developing Internet resources for statistical education.
Using a Team-Based Approach to Learning.Engineering Technology & Industrial Management.Construction Management & Civil Technology.Educational Administration & Leadership.Culinary, Hospitality, Travel & Tourism.Social Work / Family Therapy / Human Services.Mass Communication / Public Relations / Film.This is really the ideal course for anyone who wants to learn Statistics and already has StatCrunch or is willing to get it. Statistics is an awesome class because it gives you real life examples of how mathematics is used. If you finish even 50% of this course you will know A LOT of Statistics and more importantly your Statistics skills will improve a ton! Try! Keep watching until you can do the problems on your own:) If you are currently taking Statistics using StatCrunch or plan to take Statistics in College using StatCrunch, then this is the PERFECT COURSE!!!ġ) Watch the videos, and try to follow along with a pencil and paper, take notes!Ģ) Eventually you should be able to do the problems before I do them.
****In order to fully benefit from this course, you must have access to StatCrunch.*** It is computed by averaging the squared deviations from the mean. This is a complete college level course in Statistics which uses StatCrunch. If so, check out this scatter plot The graphing capability in StatCrunch allows you to summarize data and simultaneously view individual data points. The unadjusted sample variance measures the average dispersion of a sample of observations around their mean.