search:

# Search Results

Order:
 Z-test for Difference Between Means This slide show presentation, created by William Richards of The Vancouver Network Analysis Team, provides two good examples on using the Z-test for the difference between two means. Gives some good "plain language" interpretations of what "statistically significant difference" means. Overall, this is a worthwhile demonstration of this mathematical concept. http://www.sfu.ca/personal/archives/richards/Zen/show17/sld0...
 HyperStat Online: Ch. 4 Introduction to Probability This chapter of the HyperStat Online Textbook presents six sections on probability including conditional probability, unions, intersections, and the Binomial distribution. A link to exercises for the chapter is available, as well as a link to an applet that demonstrates the approximation of the binomial with a normal distribution (in section 5). http://davidmlane.com/hyperstat/probability.html
 One-Way ANOVA This applet demonstrates the partitioning of sums of squares in analysis of variance (ANOVA). It includes some sample values and allows the user to make adjustments, which then shows the new values in the ANOVA table. Also contains an exercise set. Overall, this is a nice resource for any mathematics classroom. http://www.ruf.rice.edu/~lane/stat_sim/one_way/index.html
 Research Methods Knowledge Base : The t-Test This particular textbook lesson, presented by Cornell University's Research Methods Knowledge Base, addresses the independent t-test. It presents to the user how to compute the t statistic and then how to interpret the results. The site uses graphs and charts along with the text to enhance the presentation. Overall, this is a useful resource for any mathematics classroom. http://www.socialresearchmethods.net/kb/stat_t.htm
 Two-Sample t-Test for Equal Means (Engineering Statistics Handbook) Gives textbook-like explanation with some real-life data to compute a t-test and determine if two population means are equal. Also has some links for case studies and a web-based program called Dataplot. There is a printer-friendly version on the main homepage (see source). Overall, this is a great resource for anyone interested in either engineering or mathematics. http://www.itl.nist.gov/div898/handbook/eda/section3/eda353....
Order:
Save, organize, and share resources that you find.

Subscribe to bulletins