MDM_types2

Discrete Data:

Type of data where the Information cannot be measured in intermediate values.

Ex: a digital clock only shows the minutes and not the seconds that are in between.

Continuous Data: 

Data that is measured in intermediate values.

Ex: a regular clock has a hand for seconds, which represent the intermediate values in between minutes. Nominal Data:

Combinations of data used to make codes.

Ex: MDM4u1 is a set of numbers and letters put together that represent our Data class. Each symbol represents something different.

Ordinal Data:

Data that sets a ranking, but is not specific enough to be a measurement.

Ex: ranking a hockey players skill from 1-5, but it is not measured, because the difference in between each rank may be different.

Quantitative Data:

Data that is measured by numbers.

Ex: the score of a game.

Qualitative Data:

Data that isn ’ t measured by numbers, but by words or physical features.

Ex: The qualitative data of a window frame is wooden and brown, rather than it’s width x height measurement.

Works Cited "Qualitative Data." //Social Research Methods//. Web. 02 Nov. 2009. . "Statistics Glossary - presenting data." //University of Glasgow :: Statistics :: Statistics//. Web. 02 Nov. 2009. . "WikiAnswers - What is quantitative data." //WikiAnswers - The Q&A wiki//. Web. 02 Nov. 2009. .