A type of Statistics that consist of collection, organization, summarization and presentation of data.

A person who is trained in collecting numerical information

Type of Data where variables are placed into distinct categories according to some characteristic or attribute. It consist of labels, category names, and such for which representation on a numerical scale is not naturally meaningfully.

Characterized by data that can be ranked.

A set of procedures and rules for reducing large masses of data into manageable proportions allowing us to draw conclusions.

Consist of all subject that are being studied.

Characteristics or attribute that can assume different values.

A branch of Mathematics that deals with scientific collection, presentation, analysis, and interpretation of numerical data in order to obtain useful and meaningful information.

The process of selecting the individuals from the population that makes up the sample

items of the sample are chosen based on known or calculable probabilities

Lowest level of data

Data that can be numerical and can be ordered.

All of the subjects of interest.

Measure computed from sample data.

collection of data values

A group of subjects selected from a population

Which is true about "Why sample?"

Divide population into subgroups.

Highest level of measurement.

Quantitative Data that are countable using a finite count, such as 0, 1, 2 and so on.

Level that characterized by data consist of names, labels or categories only and cannot be arrange in ordering scheme.

Measure used to describe the population.

Randomly select one individual from the 1st group.

Nonstatistical Sampling which is collected in the most convenient manner for the Researcher.

Values that the variable can assume.

Quantitative Data that can take on any value within a range of values on a numerical scale.