Populations and Sampling Paper

Life science researchers are constantly studying the population and collecting information on what the population likes or dislikes, uses or does not use, ect. This paper will give a brief overview on populations, how they are sampled and what sampling is. In a life science researcher's field it is important to know what samples and population are to go correctly measuring how many of the population are affected by what is being studied. To compare samples and population it is important to understand these terms and, their uses. This paper will cover samples, population, random sampling, and how to increase the chance of a sampling representing what the population in actuality does in a given situation. These statistics are very important to life science researcher's because they can determine how many people will be affected by whatever they are studying.

"A population is the complete collection of all elements (scores, people, measurements, and so on) to be studied. The collection is complete in the sense that it includes all subjects to be studied." ( Triola & Triola, 2006, Chapter 1, Definitions, Populations). Samples are portions of the population that life science researchers select to study something. Johnston (n.d.), " The purpose of dealing with a sample is straightforward: it enables us to study a large population and to learn things about it, so that we can draw important inferences, without having to go to the trouble of collecting data from every member of the entire population” ( para. 4). An example of this would be studying how a new drug can produce positive results with 70% of the population.

A sample is related to a population because it uses a portion or percentage of the population to determine what is liked or disliked. Samples and populations are also-related because they both pertain to people. To statistically determine whether a population or cultural group would need electricity in a remote town, samples would need to...