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To assess Mendel's law of segregation using tomatoes, a true-breeding tall variety (SS) is crossed with a true-breeding short variety (ss). The heterozygous tall (Ss) were crossed to produce the two sets of F2 data as follows:
Set I Set II
30 tall 300 tall
5 short 50 short
1. Using chi-square analysis, analyze the results for both data sets. Calculate X^2 values, and estimate the p values in both cases.
2. From the analysis in part (a), what can you conclude about the importance of generating large data sets in experimental settings?

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Answer:

1. The chi-square statistic is 0. The p-value is 1. Not significant at p < .05.

The chi-square statistic with Yates correction is 0.0642. The p-value is .800028. Not significant at p < .05.

Explanation:

2. By generating large sets of data the ratio will remain same (F1 = 3:1, F2 = 9:3:3:1) according to the Chi-Square analysis. In actual reality, it fails to justify by giving a probability value of 1 that is impossible due to the exceptions of Co-Dominance and Incomplete Dominance...

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