IB Biology 12 Views 1 Answers
Avatar for Sourav Pan
Sourav PanNovember 9, 2024

How can a chi-squared test be applied to data from dihybrid crosses to determine significance?

How can a chi-squared test be applied to data from dihybrid crosses to determine significance?

Sourav Pan
Sourav PanNovember 9, 2024

Answered

The chi-squared test is a statistical method used to determine whether there is a significant difference between observed and expected frequencies in genetic data, particularly in dihybrid crosses. Here’s how the chi-squared test can be applied to analyze data from dihybrid crosses to assess significance:

Steps to Apply the Chi-Squared Test

  1. Formulate Hypotheses:
    • Null Hypothesis (H0): Assumes that there is no significant difference between observed and expected frequencies, suggesting that the genes assort independently (i.e., they are unlinked).
    • Alternative Hypothesis (Ha): Assumes that there is a significant difference between observed and expected frequencies, suggesting that the genes are linked.
  2. Collect Data:
    • Conduct a dihybrid cross and observe the phenotypes of the offspring. For example, if you cross two heterozygous plants (RrYy x RrYy), you might observe:
      • Round Yellow (RY): 78
      • Round Green (rY): 6
      • Wrinkled Yellow (Ry): 4
      • Wrinkled Green (ry): 12

 

chi-squared test
chi-squared test

 

chi-squared test
chi-squared test

Start Asking Questions

This site uses Akismet to reduce spam. Learn how your comment data is processed.

⚠️
  1. Click on your ad blocker icon in your browser's toolbar
  2. Select "Pause" or "Disable" for this website
  3. Refresh the page if it doesn't automatically reload