No, it is not. You cannot have 2.97 children!
Discrete means tangible units (In statistics it is individual units in a data). Continuous is a linear/series in ascending/descending form/order of individual units. (In statistics it is the continuous series of unit data)
we prefer normal distribution over other distribution in statistics because most of the data around us is continuous. So, for continuous data normal distribution is used.
It means numerical data which can hold any value . For instance, human height is continuous. There is no set of allowable heights. It can be any number. In contrast, human sex (i.e male or female) is categorical data, because there are only two possible values.
You can calculate the mean, median, and std dev for discrete or continuous data. Each type has its own set of formulas.
Discrete variables have numbers that can be counted. Continuous data is measurable. Discrete data are data which can only take on a finite or countable number of values within a given range. Continuous data are data which can take on any value. It is measured rather than counted. The mass of a given sample of iron is continuous; the number of marbles in a bag is discrete.
The answer is generally no. I note there is no hard and fast definition of the field of statistics. The definition of the field or discipline of statistics is not to reduce the number of values in the set of collected data. An objective of statistics is to characterize or add meaning to the collected data, through calculated values of the data. In this sense, statistics summarizes the data.
continuous data
the most redundant or popular number in a list of data
Non-continuous data is called discrete data.
Non-continuous data is called discrete data.
analog data are continuous and take continuous values
The weight of the motorcycles is discrete and not the continuous data.