The two main variables in an experiment are the independent and dependent variable.
An independent variable is the variable that is changed or controlled in a scientific experiment to test the effects on the dependent variable.
A dependent variable is the variable being tested and measured in a scientific experiment.
The dependent variable is 'dependent' on the independent variable. As the experimenter changes the independent variable, the effect on the dependent variable is observed and recorded.
For example, a scientist wants to see if the brightness of light has any effect on a moth being attracted to the light. The brightness of the light is controlled by the scientist. This would be the independent variable. How the moth reacts to the different light levels (distance to light source) would be the dependent variable.
When results are plotted in graphs, the convention is to use the independent variable as the x-axis and the dependent variable as the y-axis.
Between rivers or streams, and the dry land are areas covered by lush vegetation called the "riparian zone". These consists of shrubs, grass, and small trees. This area is highly productive due to its close proximity to a water source, as compared to the areas found farther from the rivers. The riparian zone is a terrestrial biome.
Answer:
It can be used to produce complex proteins.
Explanation:
The best and most correct answer among the choices provided by the question is the second choice or letter B "<span>OIs are more frequent in the earlier stages of HIV. "</span><span>
</span> Infections<span> that take advantage of weakness in the immune defenses are called “</span>opportunistic.” The phrase “opportunistic infection” is often shortened to “OI<span>.”</span>
I hope my answer has come to your help. God bless and have a nice day ahead!
Answer:
A :The population of the country is increasing at a rapid rate.
Explanation:
trust :)
