Statistics and Sampling Methods

Front

The population is divided into clusters and a certain number of clusters are chosen. Every member of these clusters are part of the sample.

Back

CLUSTER SAMPLE

Front

Each member of the population has an equal chance of being selected.

Back

SIMPLE RANDOM SAMPLE

Front

When a sample of individuals is asked to respond to questions about a specific subject.

Back

SURVEY

Front

A statistical sampling or testing error caused by systematically favoring some outcomes over others.

Back

BIAS

Front

Every nth member of the population is selected.

Back

SYSTEMATIC SAMPLE

Front

The sample contains those members of the population from which data are most easily collected.

Back

CONVENIENCE SAMPLE

Front

The population is divided into subgroups and a random sample is selected from each subgroup in proportion to its population size.

Back

STRATIFIED RANDOM SAMPLE

Front

Respondents are forced to choose the answer that the researcher gives and cannot supply their own.

Back

CLOSED ENDED

Front

A group of individuals or items that are representative of the population from which they are selected.

Back

SAMPLE

Front

The results may be so varied that attempting to summarize them may be difficult, if not impossible.

Back

OPEN ENDED