Respuesta :
Answer:
The null hypothesis can be rejected, and student should conclude that the data may have resulted from genetic linkage
Explanation:
- The null hypothesis cannot be rejected, and student should conclude that the data fit a model of independent assortment
- The null hypothesis cannot be rejected, and student should conclude that the data may have resulted from genetic linkage
- The null hypothesis can be rejected, and student should conclude that the data fit a model of independent assortment
- The null hypothesis can be rejected, and student should conclude that the data may have resulted from genetic linkage
The correct option would be that the null hypothesis can be rejected, and the student should conclude that the data may have resulted from genetic linkage.
In a statistical test involving the goodness of fits, the calculated Chi-square value must be less than the critical value in order for the null hypothesis to be accepted. On the other hand, once the calculated Chi-square value is greater than the critical value, the null hypothesis is rejected.
In this case, the calculated value (92.86) is more than the critical value (7.82). Hence, the null hypothesis is rejected and the data can be concluded to be a deviation from the established standard.
The Chi-square test is defined as the statistically significant difference between the expected frequency and observed frequencies.
The null hypothesis should be rejected because the data may have resulted from the genetic linkage.
In a statistical test, the chi-square value must be less than the critical value. The null hypothesis can be accepted only when the calculated value is less than the critical value.
The null hypothesis is rejected because the chi-square value is greater than the critical value.
The calculated value is 92.86, whereas the critical value is 7.82. The hypothesis is rejected due to the deviation of the calculated value from the standard value.
Therefore, the data may have resulted from the genetic linkage.
To know more about the Chi-square test, refer to the following link:
https://brainly.com/question/3647736
