Simple random sampling gives you are fair representation of the population. Every member of the population has an equal chance of being chosen.
A sociologist can ensure that their data are statistically representative of the population being studied by using random sampling techniques. This involves selecting a sample of participants from the population in a way that gives each member an equal chance of being chosen. By using random sampling, sociologists can generalize their findings to the larger population with more confidence.
A population density map shows how many people live per square mile in a specific area. It uses color-coding or shading to indicate areas with high or low population densities relative to each other. This type of map provides a visual representation of population distribution within a region.
Approximately 0.2% of the world's population has type 1 diabetes.
Approximately 37% of the global population has O positive blood type, making it the most common blood type worldwide.
A population pyramid is a graphical illustration that shows the distribution of various age groups and genders within a population. It typically consists of two bar graphs, one representing males and the other representing females, with age groups on the vertical axis and population numbers on the horizontal axis. This type of chart helps in analyzing population trends, such as population growth, aging, and gender distribution.
Systematic sampling
statistical.
Simple random sampling.
Stratified Random Sampling. Google it. .
Type your answer here... convenient samplign
Sampling involves selecting a subset of individuals or items from a larger population for study. Random sampling is a specific type of sampling method where each individual or item in the population has an equal chance of being selected. In random sampling, the selection of individuals is done purely by chance, reducing bias in the sample.
probability sampling
Convenience sampling or quota sampling
Statistical sampling is an objective approach using probability to make an inference about the population. The method will determine the sample size and the selection criteria of the sample. The reliability or confidence level of this type of sampling relates to the number of times per 100 the sample will represent the larger population. Non-statistical sampling relies on judgment to determine the sampling method,the sample size,and the selection items in the sample.
random sampling
A sociologist can ensure that their data are statistically representative of the population being studied by using random sampling techniques. This involves selecting a sample of participants from the population in a way that gives each member an equal chance of being chosen. By using random sampling, sociologists can generalize their findings to the larger population with more confidence.
random sampling