This edition: Test of Significance
Testing ideas lies at the heart of statistics. Researchers must have unifying criteria to determine whether the results they see are evidence of real effects or difference, or whether they are simply due to chance. Statisticians have developed tests to determine whether findings are likely to be real or the result of chance. This lesson explains the reasoning behind such tests.
In this lesson, you will continue to examine statistical inference and how statisticians use it to reject or accept claims about a population gleaned from sample data.
- Test of Significance
- Tuesday, December 12 - 9:30am
- Confidence Intervals
- Tuesday, December 5 - 9:30am
- Sampling Distributions & the Central Limit Theorem
- Tuesday, November 28 - 9:30am
- Tuesday, November 21 - 9:30am
- Introduction to Inference
- Tuesday, November 14 - 9:30am