Grouped distribution of continuous data tabulation frequencies is performed against a value group. Ungrouped frequency distribution of discrete data is performed against a single value The bar graph is used to graphically represent discrete data.Ī histogram is used to graphically represent continuous data. There are distinct or different values in discrete data.Įvery value within a range is included in continuous data.

The type of data that has clear spaces between values is discrete data.Ĭontinuous information is information that falls into a continuous series. We may prefer not to think of 10,00,100 and 10,00,102 as crucially different values, but instead as nearby points on an approximate continuum.ĭifference Between Continuous and Discrete Data On the other hand, if we count large quantities of any discrete entity. Height is continuous but we sometimes don't really worry too much about minor variations and club heights into a set of discrete data instead. according to measurement accuracy, it can be significantly subdivided into smaller sections.Ĭontinuous Data Examples: Measurement of height and weight of a student, Daily temperature measurement of a place, Wind speed measured daily, etc.

The continuous data can be broken down into fractions and decimals, i.e. It may take any numeric value, within a potential value range of finite or infinite. Over time, some continuous data can change. It includes only those values which are separate and can only be counted in whole numbers or integers, which means that the data can not be split into fractions or decimals.ĭiscrete Data Examples: The number of students in a class, the number of chocolates in a bag, the number of strings on the guitar, the number of fishes in the aquarium, etc.Ĭontinuous data is the data that can be of any value. It only contains finite values, the subdivision of which is not possible. These values do not have to be complete numbers, but they are values that are fixed. It is further classified as discrete data and continuous data.ĭata that can only take on certain values are discrete data. Quantitative data, on the other hand, is one that contains numerical values and uses a scope. It is not possible to measure qualitative data in terms of numbers and it is subdivided into nominal and ordinal data. It is classified into two broad categories: qualitative data and quantitative data. For the purpose of analysis, data are presented as the facts and figures collected together.

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