16 Questions
In simple random sampling, every unit in the population has an equal probability of being selected.
True
Sampling involves selecting the entire population to study its characteristics.
False
In the study by Pimenta et al., the authors randomly selected participants from the general public.
False
The population can consist of abstract entities like stocks or products.
True
The population refers to the entire group of individuals or items about which information is desired.
True
Simple random sampling is only applicable in healthcare research.
False
Simple random sampling ensures that every unit in the population has an unequal chance of being selected for the sample.
False
The goal of sampling is to ensure that the selected subset accurately reflects the characteristics of the entire population.
True
In simple random sampling, a researcher constructs a list of all the units of the target population and uses random numbers to choose participants from this list.
True
Probability sampling is one of the main types of sampling, along with convenience sampling.
False
In systematic random sampling, the units of the target population are selected based on a regular pattern.
True
Stratified sampling is a method in which the target population is not divided into separate strata based on certain variables.
False
The sample selected using simple random sampling can provide a fair representation of the target population.
True
In non-probability sampling, participants are selected based on random criteria.
False
Convenience sampling is a method in which participants are selected based on their availability and proximity to the researcher.
True
The population refers to the entire group of individuals or items about which information is desired.
True
Study Notes
Sampling: Understanding Simple Random Sampling, Population, and Sampling
Sampling is a crucial aspect of research, allowing scientists to gather information from a subset of individuals or items to make inferences about the broader population. Three fundamental concepts in sampling are simple random sampling, population, and sampling itself.
Simple Random Sampling
Simple random sampling (SRS) is a type of probability sampling method where every unit in the population has an equal probability of being selected. SRS can be applied in various fields, ranging from healthcare to sociology. In a study by Pimenta et al., the authors obtained a listing from the Health Department of all elderly enrolled in the Family Health Strategy and then selected a sample of 449 participants via simple random sampling.
Population
The term 'population' refers to a group of individuals or items about whom information is desired. In research, understanding the population is essential to ensure that the sample drawn is representative of the overall group. The population can consist of human beings (e.g., students, residents of a city), animals, plants, or even abstract entities like stocks or products.
Sampling
Sampling is the act of selecting a portion of the population to represent the whole population. It allows researchers to gain insights into the characteristics of the population without collecting data on everyone. The choice of sampling method depends on the nature of the population, the resources available, and the research question. Some common sampling methods include simple random sampling, stratified sampling, systematic sampling, and cluster sampling.
Advantages of Sampling
Sampling offers several benefits. First, it is economical and efficient compared to studying the entire population. Second, it allows for the collection of data on variables relevant to the research question while excluding irrelevant ones. Lastly, in cases where the entire population is impractical or too costly to study, sampling becomes the only viable option.
Learn about the fundamental concepts of sampling such as simple random sampling, population, and various sampling methods. Explore how researchers select a subset of individuals or items to represent a larger population and make statistical inferences.
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