Digital computer
Types of statistical data include; 1.Numerical 2.Categorical 3.Ordinal
Graph
Non numerical data includes :String or Text sentencesCharacters : a single character like 'c' or '1' or '$'Objects : which consist of other basic types of data, but are not numerical themselves
Statistics is defined as the science of collecting, organizing, and interpreting numerical facts, which we call data. It is very important for a student of computer sciences. As Computer sciences also deals with organization and interpretation of numerical facts. In fact most of the principles of computer sciences are based on concepts of statistics.
Qualitative and quantitative data are both 2 important types of data. Qualitative data is data based on observation and description. An easy way to remember this, Qualitative ---> QUALity. Examples of qualitative data are when you record colors, smells, textures, etc... Quantitative data is based on numerical values. An easy way to remember this, Quantitative ---> QUANTity. An example of quantitative data are any type of numerical values.
There are several different types of data. Some include qualitative and quantitative. Qualitative is data that is not numeric and quantitative data is numerical.
Numerical data is numbers. Non-numerical data is anything else.
Stem and leaf plot
John D. McCarroll has written: 'Computer-aided part programming for numerical control' -- subject(s): Data processing, Machine-tools, Numerical control 'Computer-aided programming for numerical control'
Numerical data is quantitative research
Numerical data are organized by a graph.
Numerical data is data measured or identified on a numerical scale. Numerical can be analyzed using statistical methods, and results can be displayed using tables, charts, histograms, and graphs.