statistical analysis of continuous variables requires the application of specialized tests. Following is an example of continous series: In case of continous series, a mid point is computed as $\frac Discrete vs Continuous Data Data is the most salient entity in statistics as it is necessarily the “study of the collection, organization, analysis, and interpretation of data”. Statistics - Arithmetic Mean of Continuous Data Series - When data is given based on ranges alongwith their frequencies. This new four-volume collection tracks the development of statistical methods for continuous, or interval-scale data. Discrete and Continuous Data are two ways of classifying data used in cartography and GIS to portray spatial elements and applications. Data Types are an important concept of statistics, which needs to be understood, to correctly apply statistical measurements to your data and therefore to correctly conclude certain assumptions about it. You sample the same five students. Example of Quantitative Continuous Data The data are the weights of backpacks with books in them. The numerical data used in statistics fall in to two

Notice that backpacks Continuous data is information that can be measured at infinite points. Continuous data Continuous data are data which can take any values.Examples include time, height and weight.

The weights (in pounds) of their backpacks are 6.2, 7, 6.8, 9.1, 4.3.

All the data featured in maps and models are either discrete or continuous. In general, these tests compare the means of two (or more) data sets to determine whether the data sets differ significantly from one another.
This blog post will introduce you to the different data types you need to know, to do proper exploratory data analysis (EDA), …