Key output includes p-values, cell counts, and each cell's contribution to the chi-square statistic. In these results, the Pearson chi-square statistic is The likelihood chi-square statistic is Therefore, at a significance level of 0. To determine which variable levels have the most impact, compare the observed and expected counts or examine the contribution to chi-square. Therefore in our tomato breeding example, we failed to reject our hypothesis that resistance to bacterial spot in this set of crosses is due to a single dominantly inherited gene Rx We can assume that the deviations we saw between what we expected and actually observed in terms of the number of resistant and susceptible plants could be due to mere chance.
We can continue working with our current hypothesis. Further testing in other crosses and populations will be used to provide additional evidence that our hypothesis accurately explains the mode of inheritance for Rx Launch the video tutorial below showing how to use a chi-square distribution chart, using this tomato breeding example. Next we will go through a genotyping example, or you skip ahead in this lesson to a discussion about computer programs available when you have extensive data, as well as the strengths and weaknesses of the chi-square test.
In a BC 2 S 4 IBC population inbred backcross with tomato lines, you observed the following phenotypic data with regards to bacterial spot disease. Calculate a chi-square value for the hypothesis that resistance is dominantly inherited. Would you reject or fail to reject this hypothesis?
Step 5 - Interpreting The Results We are now ready for the final step, interpreting the results of our chi-square calculation. This gives a chi-square of 1. What would a chi square significance value of P 0. What is a significant p value for chi squared? Is the P value significant? Is P-value of 0. What is P-value and its significance? What does P-value of 0. What happens if p-value is negative? Is there correlation at the 0. What does it mean when a correlation is statistically significant?
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