Math 1530 - Chapter 1 Vocab

Plural

• Datum

• Statistics

• Data

• Samples

Singular

• Data

• Sample

• n

• Datum

Population

• An entire group of people/things under research.

• A subset, or smaller portion of the population.

• Is a special subset of cluster sampling.

• A number that represents a property of the sample.

Convenience Sampling

• Dividing the population into groups, and then randomly selecting some of the groups; all members from these chosen groups are in the [blank] sample; not representative.

• Dividing the population into groups, and then taking your sample from a proportionate number from each group; Some of all, forced representation across all subgroups.

• A type of sampling that is not random and involves using a population that is readily available; not representative.

• Using a sample that is selected to match the population with some respect to some specific characteristics.

Sample

• A subset, or smaller portion of the population.

• An entire group of people/things under research.

• A value of variables.

• A number that represents a property of the sample.

Stratified Sampling

• Dividing the population into groups, and then taking your sample from a proportionate number from each group; some of all.

• Randomly selecting a starting point in a list of names and then taking every nth piece of data from a listing of the population.

• A type of sampling that is not random and involves using a population that is readily available.

• A special subset of [blank] sampling.

Cluster Sampling

• Dividing the population into groups, and then taking your sample from a proportionate number from each group.

• Not representative.

• A type of sampling that is not random and involves using a population that is readily available.

• Dividing the population into groups, and then taking your sample from a proportionate number from each group; not random sampling.

Systematic Sampling

• Dividing the population into groups, and then randomly selecting some of the groups; all members from these chosen groups are in the [blank] sample.

• Randomly selecting a starting point in a list of names and taking every nth piece of data from a listing of the population.

• Sample left out large portions aka demographics of the population.

• Sample such that every member of the population has an equal probability of being in the sample.

What are the types of random sampling?

• Simple random (srs), convenience, undercoverage, stratified, cluster, systematic, and volunteer.

• Volunteer, convenience, systematic, simple random (srs), cluster, and stratified.

• Stratified, undercoverage, response, nonresponse, cluster, and volunteer.

• Convenience, systematic, simple random (srs), cluster, and stratified.

Volunteer Sampling

• Dividing the population into groups, and then randomly selecting some of the groups; all members from these chosen groups are in the [blank] sample.

• Required for all medical experiments.

• Randomly selecting a starting point in a list of names and taking every nth piece of data from a listing of the population.

  
  

• Sample such that every member of the population has an equal probability of being in the sample.