BIOL 2299 Lecture Notes - Lecture 7: Mutual Exclusivity
22 Sep 2016
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Document Summary
Probability of independent events, a and b, is given by the product of their separate probabilities. Prob(a + b) = prob(a) x prob(b) With multiple probabilities, there are multiple, possible probabilities and combinations. Probability of mutually exclusive events, a or b, is the sum of their separate probabilities. Prob(a or b) = prob(a) + prob(b) Mutually exclusive= cannot occur at same time. Probability in genetics usually combines multiplication and addition rules. (p+q)^3= 1p^3 + 3p^2q^1 + 3pq^2 + q^3. Goodness of fit test = analyzes whether the observed data(i. e. real data) agree with theoretical expectations. A conventional measure of goodness of fit is a value called chi-square, c^2. A value of x^2 = ) means that the observed numbers fit the expected numbers perfectly. Bigger the x^2, the worse your data fit your expectation. For that you need to calculate the statistical. High p = good fit with expectation.
