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Question 6 (1 point)
A scientist is investigating the possibility that two traits in a particular plant are determined by genes that are on the same chromosome. The
scientist crossed a plant that is homozygous dominant for both traits with a plant that is homozygous recessive for both traits. The
heterozygous offspring in the F1 generation were then crossed with a plant that is homozygous recessive for both traits. The results expected if
the genes independently assort and the observed results are presented in the table.​

Question 6 1 pointA scientist is investigating the possibility that two traits in a particular plant are determined by genes that are on the same chromosome The class=

Respuesta :

Oseni

Answer:

c. 7.81

Explanation:

The critical value of a chi square represent a level at which the calculated chi square value can be compared. If the calculated chi square value is above the critical level value, it means the outcome of an experiment does not fit into the expected model.  On the other hand, if the the calculated chi square value is less than the critical value, it means the result fits into the expected model.

From the result in the table:

Degree of freedom = 4-1 = 3

At 0.05 probability level, the critical value of the chi square (from the table of critical chi square value) is 7.81.

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The critical value is used to reject or not the null hypothesis. Option C. The scientist should use a critical value of 7.81 for the chi-square analysis of the data.

Critical value in Chi Square

  • The critical value tells us how extreme the limit of a test statistic is to reject the null hypothesis.

  • It defines the upper and lower limits of the confidence interval.

  • We need to have this value to calculate the error margin.

  • The critical value is determine by using the freedom degrees and the significance level.

  • By looking at the chi-square table, we must locate the intersection point at which the significance level and the freedom degrees meet. This point is the critical value.

Freedom degrees

  • The freedom degrees can be calculated as n - 1, where n is the number of possible phenotypes.

In the exposed example,

  • Freedom degrees = n - 1 = 4 - 1 = 3
  • Significance level, 5% = 0.05
  • Critical value = 7.815

The scientist should use a critical value of 7.81 for the chi-square analysis of the data. Option C.

You can learn more about critical value and chi square analysis at

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