AP PSYCHOLOGY

Detailed explanation-1: -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-2: -An example of a simple random sample would be the names of 25 employees being chosen out of a hat from a company of 250 employees. In this case, the population is all 250 employees, and the sample is random because each employee has an equal chance of being chosen.

Detailed explanation-3: -There are four primary, random (probability) sampling methods – simple random sampling, systematic sampling, stratified sampling, and cluster sampling.

Detailed explanation-4: -Definition: Random sampling is a part of the sampling technique in which each sample has an equal probability of being chosen. A sample chosen randomly is meant to be an unbiased representation of the total population.

Detailed explanation-5: -The simplest way to understand random sampling is to think of someone pulling slips of paper at random out of a hat. Every slip of paper in the hat has an equal chance of being plucked out. So if every slip of paper has a name on it, every name has an equal chance of getting picked.