Yes, data can be non-discrete and non-continuous, often referred to as categorical or qualitative data. This type of data includes attributes or qualities that cannot be measured on a numerical scale, such as colors, names, or types of animals. Such data can be further divided into nominal (unordered categories) and ordinal (ordered categories) types. These categories do not fit into the traditional discrete or continuous classifications.
Non-continuous data is called discrete data.
No. It uses continuous data. * * * * * Not true. It can use either discrete or continuous data.
Yeah, what about them
Discrete and continuous.
Numbers can represent both discrete and continuous data, depending on the context. Discrete data consists of distinct, separate values, often counted in whole numbers, such as the number of students in a classroom. In contrast, continuous data can take any value within a range and can include fractions or decimals, such as height or temperature. Thus, whether numbers are discrete or continuous depends on how they are measured and used.
Non-continuous data is called discrete data.
Non-continuous data is called discrete data.
The weight of the motorcycles is discrete and not the continuous data.
No. It uses continuous data. * * * * * Not true. It can use either discrete or continuous data.
time to learn a song for 4 hours, is this discrete or continuous data set?
continuous because discrete data involve a count of items
Yeah, what about them
No, it is discrete.
discrete data can only be whole numbers whereas continuous can be fractions decimals don't necessary have to be counting numbers as we know them. 1,2,3...
continuous
Discrete and continuous.
In maths there is discrete data and continuous data. Continuous data can be measured to any degree of accuracy, e.g. I am 1.8716749873651 metres tall. Discrete data cannot...e.g. I have 2 sisters. Discrete data cannot have halves or decimals, whole numbers only.