Answer:
A) The two genes are unlinked and are assorting independently, leading to a 1:1:1:1 ratio of phenotypes in the offspring.
Explanation:
The χ2 value means nothing on its own--it is used to find the probability that, assuming the hypothesis is true, the observed data set could have resulted from random fluctuations. A low probability suggests the observed data is not consistent with the hypothesis, and thus the hypothesis should be rejected. The hypothesis that you are testing are two genes are unlinked and are assorting independently, leading to a 1:1:1:1 ratio of phenotypes in the offspring.
Answer: Independent variable is what is being modified, it is important to compare it to your control group, (which is the original).
Dependent variable is what is being measured, to compare it to the control group to see if your hypothesis works or not.
Explanation: Here's a(n) example:
Bob wanted to take a mint with a mint drop, and he wanted to measure if it can make his breath fresher, but he also wanted to take it with a regular mint to see which is the freshest breath.
Independent variable: Mint drop.
Dependent Variable: Breath (To see if it is going to change with a mint drop.)
Control Group- Regular mint.
Answer: Initially part of the flower will be blue and part will be red, but eventually both colors will appear in all parts of the flower.
Explanation:
