Question

the 5 questions below are the 5 questions on the quantitative and critical thinking quiz in the common assessment folder

1. why would you run a chi - squared test?

a. to determine if our data exactly matches the expected results.
b. to determine if our data is consistent with the expected results.
c. to determine the expected results.
d. to compare the phenotypic ratios to the genotypic ratios.

1. write the complete null hypothesis for this experiment.
2. write the complete alternative hypothesis for this experiment.
3. determine the degrees of freedom of the phenotypic ratio for this genetic cross in the lab problem.

a. 1
b. 2
c. 3
d. 4
e. 5

Explanation:

1. A Chi - squared test is used to determine if observed data is consistent with expected results. It doesn't check for an exact match.
2. The null hypothesis ($H_0$) for a genetic cross experiment could be that there is no significant difference between the observed and expected phenotypic ratios.
3. The alternative hypothesis ($H_1$) would be that there is a significant difference between the observed and expected phenotypic ratios.
4. The degrees of freedom for a phenotypic ratio in a genetic cross is calculated as $df = n - 1$, where $n$ is the number of phenotypic classes. Without knowing the number of phenotypic classes in the specific genetic cross, we can't calculate precisely, but the formula is key.

Answer:

1. B. To determine if our data is consistent with the expected results.
2. There is no significant difference between the observed and expected phenotypic ratios.
3. There is a significant difference between the observed and expected phenotypic ratios.
4. Cannot be determined without more information about the number of phenotypic classes in the genetic cross.