Statistical tests for contingency tables
In statistics, Yates's correction for continuity (or Yates's chi-squared test) is used in certain situations when testing for independence in a contingency table. It aimsat correcting the error introduced by assuming that the discrete probabilities of frequencies in the table can be approximated by a continuous distribution (chi-squared). In some cases, Yates's correction may adjust too far, and so its current use is limited. (Wikipedia).
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EXAMPLES 14:14 17:30 20:54 25:55 28:00 31:38 I explain the definition of Continuity on an Open and Closed interval, Removable and Non-removable Discontinuities, the Properties of Continuity, and 1 Sided Limits. I finish by working through 6 examples to help your understanding. Check out
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Special thanks to archive.org for hosting these episodes. Downloads of all these episodes and more can be found at: http://archive.org/details/computerchronicles
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