<span>D) Vaccines allow for building immunity without harmful exposure because not all viruses are safe to be exposed to.</span>
Answer:
d
Explanation:
D the grass will become dry and die
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Explanation:
Paleontology deals with fossils and helps in learning the changes of living organisms in sequence.
Biogeography deals with the distribution of species across the mother earth.
Embryology deals with the study of the similarities and difference that exists in the embryos of different species or organisms.
Anatomy deals with the study of the similarities and difference that exists among different species or organisms.
<u>Explanation: </u>
As an organism dies, the remaining of these organisms will be buried in soil. These are fossils. Paleontology supports evolution with the information that are related to the fossils, footprints etc. With these we can study the evolution of organisms and also the changes they undergo. There are some technologies like radiometric dating that can be used for the determination of these rocks and fossils ages.
Charles Darwin suggested that the evolution of species were form their ancestor. Biogeography supports evolution by explaining about the distribution of different species over the earth. Embryology and Anatomy supports evolution by describing about the similarity and difference in the species of living organisms. Embryology deals with the embryos and anatomy deals with the structure.
Explanation:
Accordingly, the introductory physics laboratories have the following purposes and goals:
1. To provide an experimental foundation for the theoretical concepts introduced in the lectures. It is important that students have an opportunity to verify some of the ideas for themselves.
2. To familiarize students with experimental apparatus, the scientific method, and methods of data analysis so that they will have some idea of the inductive process by which the ideas were originated. To teach how to make careful experimental observations and how to think about and draw conclusions from such data.
3. To introduce the methods used for estimating and dealing with experimental uncertainties, including simple ideas in probability theory and the distinctions between random (statistical) and systematic "errors." This is essential in understanding what valid conclusions can be deduced from experimental data and that, properly obtained, these conclusions are valid, notwithstanding the uncertainty of the data.