GENERAL KNOWLEDGE

Detailed explanation-1: -With a lottery method, each member of the population is assigned a number, after which numbers are selected at random. 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.

Detailed explanation-2: -Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population. Each member of the population has an equal chance of being selected.

Detailed explanation-3: -Simple random sampling In a simple random sample, every member of the population has an equal chance of being selected. Your sampling frame should include the whole population. To conduct this type of sampling, you can use tools like random number generators or other techniques that are based entirely on chance.

Detailed explanation-4: -Sampling is a method that allows researchers to infer information about a population based on results from a subset of the population, without having to investigate every individual.

Detailed explanation-5: -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.