A sample is a subset of a population.

Inferential statistics involves using a population to draw a conclusion about a corresponding sample.

A population is the collection of some outcomes, responses, measurements, or counts that are of interest.

A sample statistic will not change from sample to sample.

Data at the ordinal level is only quantitative.

For data at the interval level, you can have negative data.

Data at the ratio level can NOT be put in order.

Randomized block design experiment is the same as a systematic sampling.

Completely randomized design experiment is the same as a simple random sampling.

Using a stratified sample guarantees that members of each group within a population will be sampled.

To select a cluster sample, divide a population into groups, then select all the members in some of the groups.