Data Flashcards
What is data?
factual information (such as measurements or statistics) used as a basis for reasoning, discussion, or calculation
Highest level of data
Quantitative and Qualitative data
Quantitative data
deals with numbers and things you can measure objectively: dimensions
such as height, width, and length. Temperature and humidity. Prices. Area and volume.
Qualitative data
deals with characteristics and descriptors that can’t be easily measured,
but can be observed subjectively—such as smells, tastes, textures, attractiveness, and color.
Discrete data
is a count that cannot be made more precise. Typically, it involves integers.
Continuous data
divided and reduced to finer and finer levels. For example, you can measure the height of your kids at progressively more precise scales— meters, centimeters, millimeters, and beyond.
Nominal Data or Categorical Data
cannot rank nor do mathematical calculations with the data we obtained (the information can only be categorized.
Ordinal Data
the information we can extract are order and ranking – excellent, good, satisfactory, unsatisfactory. Here, the data is not only categorical, it can also be ranked according to increasing or decreasing value.
Interval Data
the information we can extract is differences in measurement but zero has no absolute meaning – temperature.
Ratio Data
the information we can extract is differences in measurement AND zero has an absolute meaning – test scores. (height, age)
Binary
TWO possible categories