an χ - an χ 2 value>or = 3.23 if the...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: an χ 2 value >or = 3.23 if the hypothesis tested is true, is between 30-50%. To make the final decision as to whether the observed results can be explained by the hypothesis, we must decide on the level of significance to use. The most widely used level is 0.05. Thus, if P<0.05 deviations between observed and expected values are ⇒ significant deviations are too large to be accounted for on the basis of ⇒ chance reject the hypothesis of independent assortment. ⇒ if P>0.05 genes are most probably assorting independently. ⇒ One should always be cautious when using the results of a χ 2 test. A hypothesis is never proved or disproved by a χ 2 test. The test simply evaluates the results of an experiment as acceptable or unacceptable with respect to the hypothesis. When a hypothesis is not rejected, this simply means that the experimental data does not provide a statistically compelling argument against the hypothesis. There is still a chance that one would be accepting a false hypothesis. On the other hand, when rejecting a hypothesis at the accepting a false hypothesis....
View Full Document

This note was uploaded on 02/23/2010 for the course BIOL 223 taught by Professor Smithanddarwiche during the Spring '10 term at American University of Beirut.

Page1 / 2

an &Iuml;‡ - an χ 2 value>or = 3.23 if the...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online