What is an example of population in science?

Population Definition

The term “population” encompasses a group of organisms of a single species that can interbreed and live in the same time in the same environment. For example, a “population” of deer includes all individuals in a particular forest.

What does population mean in science for kids?

Population is the number of people living in a certain place. A village, city, state, province, country, and continent all have a population. Even the world has a population. Human society is greatly affected by population: its size, composition (makeup), and birth and death rates.

What is population and its example?

Population is the number of people or animals in a particular place. An example of population is over eight million people living in New York City.

What is the best definition of a population?

Definition of population

1a : the whole number of people or inhabitants in a country or region. b : the total of individuals occupying an area or making up a whole.

What is an example of population in science? – Related Questions

What is the population?

World Population Clock: 7.97 Billion People (2022) – Worldometer.

What are the 3 types of population?

There are generally three types of population pyramids created from age-sex distributions– expansive, constrictive and stationary. Examples of these three types of population pyramids appear at the end of this report.

What are the 4 types of population?

  • Finite Population.
  • Infinite Population.
  • Existent Population.
  • Hypothetical Population.

What is population in biology?

A population is a subset of individuals of one species that occupies a particular geographic area and, in sexually reproducing species, interbreeds. The geographic boundaries of a population are easy to establish for some species but more difficult for others.

What is an example of a population in an ecosystem?

Populations are all the members of a species that live in a one area. You are part of the human population for your home town. A freshwater pond has multiple populations, including a population of mallard ducks, and a population of cattail plants growing on the edge.

What are the 3 types of population?

There are generally three types of population pyramids created from age-sex distributions– expansive, constrictive and stationary. Examples of these three types of population pyramids appear at the end of this report.

What is the difference between population and sample give an example?

To summarize: your sample is the group of individuals who participate in your study, and your population is the broader group of people to whom your results will apply. As an analogy, you can think of your sample as an aquarium and your population as the ocean.

What is the target population example?

Examples of a target population are a company’s customer base, the population of particular country, the students at a particular university or tenants of a housing association.

Why is population important in research?

Having a sample that is representative of the target population is important for researchers to be able to generalize results found from observations of the sample to the target population.

How do you describe the population of a study?

A population is a complete set of people with a specialized set of characteristics, and a sample is a subset of the population. The usual criteria we use in defining population are geographic, for example, “the population of Uttar Pradesh”.

What is source population?

The source population is the population that gives rise to the cases included in the study. If a cohort study were undertaken, we would define the exposed and unexposed cohorts (or several cohorts) and from these populations obtain denominators for the incidence rates or risks that would be calculated for each cohort.

How can I improve my case-control study?

Five steps in conducting a case-control study
  1. Define a study population (source of cases and controls)
  2. Define and select cases.
  3. Define and select controls.
  4. Measure exposure.
  5. Estimate disease risk associated with exposure.
  6. Confounding factors.
  7. Matching.
  8. Bias.
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How do you collect data in a case-control study?

Data for case-control studies is typically collected by interviewing or surveying the cases and the controls. Individuals in both groups are asked the same series of questions regarding their medical history and exposure to factors that are considered to increase the risk of developing the disease in question.

What is risk set sampling?

In a case-control study, risk set sampling will identify the controls from a group of people who are ‘at risk’ at the index date of the case. This concept covers the sampling with replacement, so that a control could potentially be used multiple times for different cases.

What is the ideal ratio of cases to controls for a case-control study?

Therefore, investigators conducting a matched case-control study in which the number of possible cases is limited should consider using a control-to-case ratio of greater than 5 when either phi is expected to be greater than about 0.2 or PQ is expected to be less than about 0.15.

What is a case-control study in statistics?

A case control study is a retrospective, observational study that compares two existing groups. Researchers form these groups based on the existence of a condition in the case group and the lack of that condition in the control group.

How is risk ratio calculated?

A risk ratio (RR), also called relative risk, compares the risk of a health event (disease, injury, risk factor, or death) among one group with the risk among another group. It does so by dividing the risk (incidence proportion, attack rate) in group 1 by the risk (incidence proportion, attack rate) in group 2.


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