¶ … Systematic Sampling, Convenience Sampling, Stratified Sampling, Cluster Sampling, Random Sampling, Ordinal Data, Nominal Data, Discreet Data, Continuous

Systematic Sampling: This is a method of statistical sampling in which the population is divided into certain intervals and a single point is picked at a given interval.

Convenience Sampling: This is a method in which the sampling technique is a function of the accessibility and proximity to the researcher. This type of sampling is advantageous because it can quickly gather data.

Stratified Sampling: This sampling method divides larger populations into smaller and easier to manage sub-populations. Once the stratified data has been identified, the researcher randomly chooses the final subjects that are in proportionate standing with the other subgroups.

Cluster Sampling: This type of sampling method requires the researcher to group divide his population into cluster or groups. Then clusters are randomly chosen as the selected population to gather data from.

Random Sampling: Random sampling requires the researcher to choose his population through unpredictable means. This randomness is induced to help diminish the researcher's inherent subjective bias towards the experiment.

Ordinal Data: Ordinal data is information that is specifically ordered in some fashion. The ordering is based on an arbitrary scale that holds no significance besides describing it's obvious qualities.

Nominal Data: Nominal data is information that is organized by name. There is no value in this type of data other than its descriptive use.

Discrete Data: Discrete data is information that needs specific beginning and ending points. Certainty is a required quality of this type of data. Discrete data is information that can be counted.

Continuous Data: Continuous data is information that can be taken from a scalar measurement. Continuous data can be recorded at many different points and can hold any numeric value.

2. Following are several variables. Which, if any, yield ordinal data? Explain your answer.

(a) height

(b) weight

(c) age

(d) sex

(e) number of siblings

(f) religion

(g) place of birth

(h) high-school class rank

3. Identify which type of sampling is used:

To avoid working late, a quality control analyst simply inspects the first 100 items produced in a day.

(a) Systematic

(B) Random

(C) Stratified

(D) Convenience

(E) Cluster