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

Biology

Jeffrey

18 March, 18:21

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?

+4

Answers (1)

Know the Answer?

Ralph Marsh · 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 ...