Answer:
Functions of Fat in the Body
Hello. You have not submitted the experiments to which this question refers, which makes it impossible for it to be answered. However, I will try to help you in the best possible way.
A dependent variable is one that is influenced by an element, in order to present a result, that is, it is a variable that does not establish itself, being dependent on another variable to establish itself. An example of a dependent variable can be seen in an experiment that seeks to determine the differences in growth rates of bean plants that were fertilized with different organic fertilizers. As you can see, this is an experiment where the different organic fertilizers influence differences in the growth rate of bean plants. Thus, the growth of these plants depends on the fertilizer, this growth being the variable dependent on the experiment.
A control group, in turn, is an element of the experiment that does not receive the element that is being tested in the same experiment. The control group is important, because it allows the researcher to see the results of a system where the tested element does not exist, thus being able to determine the real differences that the tested element is capable of causing. Using the same example presented in the paragraph above, we can see that the different organic fertilizers are the elements tested in the experiment. These fertilizers will be applied to the plants, however it is important that at least one of these plants does not receive any fertilizer, so that the difference between a system with fertilizer and a system without fertilizer can be evaluated. This plant that received no fertilizer is the control group.
Changes in the dna are called mutations. They can occur spontaneously. Mutations can only be passed down in gametes--sperm and egg cells. with Darwins theory at mind a mutation needs to pass the test of natural selection to remain in the gene pool. So purposly making mutation or altercations may end in diseases/illnesses or in some cases death because they body can not take it.....hope this helps if it doesnt im sorry!
Temperature is a quantitative measurement because it can be "measured". Quantitative data is where you record data that is measurable. Qualitative data is research collected from observations.
