Answer:
P = 0.79.
Explanation:
To solve this, we need to understand the Hardy-Weinburg equation and what each variable is. P is usually used for the dominant trait classification (in this case, it would be long legs) and Q is usually used for the recessive trait classification (in this case, it would be short legs).
Therefore, we know that the values have to add up to 1 and that Q is recessive and P is dominant. So, if we begin applications, we can learn that to equal 1, we must use numbers less than 1 to accomplish this.
If 21 of a 100-person population have short legs, then ideally, 79 people would have long legs (the dominant trait). So, we know that 0.21 as q and 0.79 as p would equal 1 if you just added p and q together. Therefore, we can know that q is 0.21 and p is 0.79.
To prove this, we can insert these values into the equation:
<u>Answer:</u>
Any ecosystem is designed with a particular necessity that drives it's entire organisms that is residing in the particular ecosystem. Invasion by other species would deprive the initial nutrients that are contained in an ecosystem for it's native species.
This in turn would gradually make the native species extinct. The ecosystem contains all the nutrients that are enough for its residents and it is perfectly balanced by the nature, but invasion of a non-native species would break the natural balance and create deficit.
Answer:
Wheres the article do you have an article?
The h ions are increased at a 10-fold.
I hope this helps :)
Answer:
Independent variable: Planting depths of seeds
Dependent variable: plant height
Explanation:
Independent variable in an experiment is the variable that the experimenter changes or manipulates in order to bring about a measurable response. In this experiment involving the planting of radish seeds at varying depths, the DEPTH AT WHICH THE SEEDS ARE PLANTED is the independent variable.
Dependent variable is the variable that is measured in an experiment. It is the variable that responds to the changes made to the independent variable. In this experiment, the HEIGHT of the radish plants measured is the dependent variable.
