Descriptive Analytics: Data Management Flashcards
It refers to a scientific body of knowledge that deals with: collection of data; organization and presentation of data and analysis and presentation of data
Statistics
It is statistical procedure concerned with describing the characteristics and properties of a group of persons, places or thongs; it is based on easily verifiable facts; organize presentation, description, and interpretation of data gathered. It includes the study of relationships among variables.
Descriptive Statistics
It encompasses the set of techniques that describes what has happened in the past. It is a statistical method that is used to search and summarize historical data in order to identify patterns or meaning.
Descriptive Analytics
These are the facts and figures collected, analyzed, and summarized for presentation and interpretation
Data
It is a characteristic or a quantity of interest that can take on different values, also known as?
Variable
What are the 2 Categories of Data?
- Categorical Data
- Numerical or Continuous Data
It is where arithmetic operation cannot be performed are nominal and ordinal scales; use non parametric statistics.
Categorical Data
It consists of a finite sets of possible values having no particular order.
Ex. gender, mode of transportation, nationality, occupation, civil status.
Nominal Scales
It is a set of possible values having specific order:
Ex. pain level, social status, attitude toward a subject.
Ordinal Scales
It is numeric and arithmetic operation can be perform; ratio and interval scales; use parametric statistics.
Numerical or Continuous Data
These are measured on continuum and differences between any two numbers of known size: temperature, tons of garbage, number of arrest, income and age.
Interval Scales
These are numerical in nature and meaningful arithmetic can be done; age, weekly allowance, income of parents.
Quantitative Data
It assumes exact value only and can be obtained by counting
Ex. number of students
Discrete Data
It assumes infinite values within a specified interval and can be obtained by measurement
Ex. height
Continuous Data
These are attributes which cannot be subjected to meaningful arithmetic.
Ex. gender
Qualitative Data