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rachelle17 rachelle17
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7 years ago
1.What might your corn cob mean with respect to the expected results.? Note that when you combine all the data collected as a class,  observed probabilities (from corn cob image) are very close to expected probabilities (calculated using the Punnett squares). This is related to sample size, which is a point that is made during population studies in ecology.

In questions 2 and 3, you analyzed a dihybrid cross of two parents who were heterozygous for both traits using Punnett squares. In questions 7 and 8, you analyzed counted data from a group of kernels of corn. This question deals with these two cases.
How does the corn cob that you analyzed (observed probability) compare with the expected results of a  9:3:3:1 ratio of dihybrid cross with both parents heterozygous in both traits?


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Use the information from the previous question.
In questions 2 and 3, you analyzed a dihybrid cross of two parents who were heterozygous for both traits. In questions 7 and 8, you analyzed counted data from a group of kernels of corn. This question deals with these two cases.
Interpret your observed experimental results with the expected results of a dihybrid cross. Why were they similar / different
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7 years ago Edited: 7 years ago, bio_man
Quote from: rachelle17 (7 years ago)
1.What might your corn cob mean with respect to the expected results.? Note that when you combine all the data collected as a class,  observed probabilities (from corn cob image) are very close to expected probabilities (calculated using the Punnett squares). This is related to sample size, which is a point that is made during population studies in ecology.

Given that in this diagram only one sample is shown, it is different than the theoretical of found in the punnet square. However, once you collect all the data from different observations, the results become closer and closer to the expected values.

A Punnett square applies the rules of probability to predict the possible outcomes of a monohybrid cross and their expected frequencies. Indeed, when it comes to working with larger sample sizes, observed ratios will model theoretical ones.

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