AP PSYCHOLOGY

Detailed explanation-1: -Stratified random sampling allows researchers to obtain a sample population that best represents the entire population being studied. Sampling involves statistical inference made using a subset of a population. Stratified random sampling is done by dividing the entire population into homogeneous groups called strata.

Detailed explanation-2: -Probability sampling means that every member of the population has a chance of being selected. It is mainly used in quantitative research. If you want to produce results that are representative of the whole population, probability sampling techniques are the most valid choice.

Detailed explanation-3: -What is stratified sampling? In stratified sampling, researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment). Once divided, each subgroup is randomly sampled using another probability sampling method.

Detailed explanation-4: -Sampling is the statistical process of selecting a subset (called a “sample”) of a population of interest for purposes of making observations and statistical inferences about that population. Social science research is generally about inferring patterns of behaviors within specific populations.

Detailed explanation-5: -Sampling is used in statistical analysis methodologies to gain insights and observations about a population group. Statisticians can use a variety of sampling methods to build samples that seek to meet the goals of their research studies. Representative samples are one type of sampling method.