The linear discrete time interval is used in the interpretation of continuous time and discrete valued: Quantized signal.
data that can be counted, that does not show a change over time
Either fog occurs on a day, or it does not. Therefore it is a discrete value.
discrete
discrete
The linear discrete time interval is used in the interpretation of continuous time and discrete valued: Quantized signal.
It is discrete even though time itself is continuous.
Date is a discrete variable whereas date/time would be continuous.
time to learn a song for 4 hours, is this discrete or continuous data set?
It is a discrete variable, as number of colds experienced by individuals would be one time, two times or so on. So, it is a finite category proving it a discrete variable.
continuos
is occupation decrte or coninus
how is time series applied in the business world today
data that can be counted, that does not show a change over time
Either fog occurs on a day, or it does not. Therefore it is a discrete value.
The homophones for "discrete" can include "discreet" and "discreetly."
Discrete probability is probability in the context of random variables that can only take a discrete number of values. In the work environment there are some events that can have discrete outcomes and others that are continuous. For example, the number of customers in a day (or month) is a discrete variable. The amount that each one spends on your products is discrete. But the time interval between them is not. So the role that any kind of probability could play depends on what you wish to study.