## Related questions with answers

The $\chi^2$ 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 $\chi^2$ value is $0.05$ 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 $0.05$, the results are not statistically significant; the observed data are consistent with the hypothesis. To find the probability, locate your $\chi^2$ value in the $\chi^2$ Distribution Table in Appendix $F$. The "degrees of freedom" (df) of your data set is the number of categories (here, 4 phenotypes) minus 1 , so $\mathrm{df}=3$. Determine which values on the $d f=3$ line of the table your calculated $\chi^2$ value lies between.

Solution

VerifiedNote that the chi-square value $(\chi^2)$ is used to calculate the likelihood that the observed data set may have come from random fluctuations, providing the hypothesis is correct.

## Create an account to view solutions

## Create an account to view solutions

## More related questions

1/4

1/7