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?

Question

Adyson Joyce

Biology

7 July, 01:53

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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Answers (1)

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Skippy · Answer 1

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 ...