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The value means nothing on its own-it is used to find the probability that, assuming the hypothesis is true, the observed data set could have resulted from random fluctuations. A low probability suggests that the observed data are not consistent with the hypothesis, and thus the hypothesis should be rejected. A standard cutoff point used by biologists is a probability of 0.05(5%). If the probability corresponding to the value is or less, the differences between observed and expected values are considered statistically significant, and the hypothesis (that the genes are unlinked) should be rejected. If the probability is above , the results are not statistically significant; the observed data are consistent with the hypothesis. To find the probability, locate your value in the Distribution Table in Appendix . The "degrees of freedom" (df) of your data set is the number of categories (here, 4 phenotypes) minus 1 , so . Determine which values on the line of the table your calculated value lies between.
Solution
VerifiedNote that the chi-square value is used to calculate the likelihood that the observed data set may have come from random fluctuations, providing the hypothesis is correct.
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