Types of Data Measurement Levels Flashcards
(16 cards)
What are data measurement levels?
Hierarchical categories that are used to classify data based on its properties.
- how precise a variable can be measured
- Finds which analysis is correct to use
What is Nominal Data?
- Categorized and labeled variables (Categorical)
- No inherent order between categories
What is an example of nominal data?
Eye color, countries, species of animals
What is ordinal data?
- Data can be ranked/ordered (categorical)
- Intervals between categories are not necessarily equal.
Qualitative
What are examples of ordinal data?
-T-shirt sizes, education level, grades, satisfaction level
-Numbers do not necessarily indicate actual quantities, instead, they represent the intensity of feelings/thoughts.
What is interval data?
- Intervals are equal (numerical)
- No true zero (unmeaningful comparison)
What are examples of interval data?
Temperature, PH , SAT score, income ranges, IQ
What is ratio data?
- equal intervals (numerical)
- Has true/meaningful zero point
- Allows precise ratios to be calculated
What are examples of ratio data?
Height, weight, age, number of staff, Rainfall
Analysis methods used for Nominal Data
-Limited to descriptive stats such as percentages and frequency
Analysis methods used for Ordinal Data
- Median, percentiles, and non-parametric statistical tests are used
Analysis methods used for Interval Data
- Enables comparison of the distance between values
- Uses complex tests like mean, standard deviation, and t-tests
Analysis methods used for Ratio Data
- Highest level of measurements
- All mathematical operations and advanced statistical analyses are used
Parameter
a measurable factor forming one of a set that defines the system or sets the conditions
What is qualitative data?
Non-numerical, descriptive information
-opinions, words, observations
What is quantitative
Numerical, measurable data
-quantities like averages and counts
