Sampling bias occurs when the sampling frame does not reflect the characteristics of the population which is being tested. Biased samples can result from problems with either the sampling technique or the data-collection method. Essentially, the group does not reflect the population which is supposed to be represented in the given survey or test.
For example: If the question being asked in a survey was "do American's prefer Coca-Cola or Pepsi?" and all people asked were under 18 and from California, there would be a sampling bias as the sampling frame would not accurately represent "American's".
random sample
Random Sample
The answer is Random Sample
A randomly selected sample.
The sample should be selected randomly.
random or blind
Selection, choice
When a p-n junction is taken without a bias, it forms a PHOTO VOLTAIC CELL.
Representative/random
Bias
bias.
The major source of sampling error is sampling bias. Sampling bias is when the sample or people in the study are selected because they will side with the researcher. It is not random and therefore not an adequate sample.