AP PSYCHOLOGY

Detailed explanation-1: -Random sampling is analogous to putting everyone’s name into a hat and drawing out several names. Each element in the population has an equal chance of occuring. While this is the preferred way of sampling, it is often difficult to do. It requires that a complete list of every element in the population be obtained.

Detailed explanation-2: -Simple random sampling The researcher chooses the sample from the entire population through a randomization technique-for example, drawing names out of a hat, or using a random number table or random number generator.

Detailed explanation-3: -Example-A teachers puts students’ names in a hat and chooses without looking to get a sample of students. Why it’s good: Random samples are usually fairly representative since they don’t favor certain members. Stratified random sample: The population is first split into groups.

Detailed explanation-4: -Probability sampling: Probability sampling is a sampling technique where a researcher selects a few criteria and chooses members of a population randomly. All the members have an equal opportunity to participate in the sample with this selection parameter.

Detailed explanation-5: -Simple random sampling. In simple random sampling (SRS), each sampling unit of a population has an equal chance of being included in the sample. Consequently, each possible sample also has an equal chance of being selected. To select a simple random sample, you need to list all of the units in the survey population.