Population, Sampling, Design of Experiments, and Summation Notation Flashcards
Briefly explain the term population.
A population is the collection of all elements whose characteristics are being studied.
Briefly explain the term sample.
A sample is a portion of the population selected for study.
Briefly explain the term representative sample.
A representative sample is a sample that represents the characteristics of the population as closely as possible.
Briefly explain the term sampling with replacement.
Sampling with replacement refers to a sampling procedure in which the item selected at each selection is put back in the population before the next item is drawn.
Briefly explain the term sampling without replacement.
sampling without replacement is a sampling procedure in which the item selected at each selection is not replaced in the population.
Briefly explain the difference between a census and a sample survey.
A census is a survey that includes every member of the population. A survey based on a portion of the population is called a sample survey.
Explain random sample.
Random sample is a sample is chosen randomly.
Explain non-random sample.
A sample in which the selection of units is based on factors. Some members of a population may not have any chance of being chosen.
Explain convenience sample.
Convenience sample is a sample in which most accessible members are chosen.
Explain judgment sample.
Judgment sample is a type of random sample that is selected based on judgment and prior knowledge of an expert.
Explain quota sample.
A non-probability sampling method that create a sample involving individuals that represent a population.
Explain simple random sampling.
A sampling technique under which each sample of the same size has the same probability of being selected.
Explain systematic random sampling.
a probability sampling method in which a random sample, with a fixed periodic interval, is selected from a larger population.
Explain stratified random sampling.
Stratified Random Sampling is a method of sampling that involves the division of a population into smaller sub-groups known as strata.
Explain cluster sampling.
Cluster Sampling is a probability sampling technique that divides the population into multiple groups (clusters) for research.
