The linear discrete time interval is used in the interpretation of continuous time and discrete valued: Quantized signal.
It is a continuous variable. BUT as soon as you measure it, the limitations of your timing device make the observation a discrete variable - even if you can measure with an accuracy of a nanosecond.
A continuous variable which is made discrete when recorded.
Continuous data is data that can theoretically be any amount at all. There may be a maximum and minimum value, but all numbers in between are possible. For instance, the amount of time it takes to complete a task, might be 13.4864 seconds. This makes the time continuous data. Discrete is data that can only be set amounts. For instance, how much money someone has, or how many times they've been to the cinema. You cannot have 13.4864 cents, or have visited the cinema 7.33 times. This is a discrete value.
Continuous variable is one like temperature, and discrete variable are ones like male and female. So if you are looking at temperatures between 90 and 100 degrees, there is an infinite number of them. Say between 99 and 99.1, we have 99.05 and between that and 99 we have 99.005 etc. The variable is continuous because it can take on any value between 90 and 100. But if you are talking about gender, than it is either male of female and not continuous. Having said all this, now we define a continuous variable A continuous is one for which, within the limits the variable ranges, any value is possible. So what about time? If the variable is how long it take to read this answer, is that discrete? NO, it is continuous. A five point scale is an example of a discrete variable.
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?
Continuous. Discrete variables are only expressed as integer values, whereas continuous is, as its name suggests, continuous.
The linear discrete time interval is used in the interpretation of continuous time and discrete valued: Quantized signal.
continuos
it is a continuous random variable
A continuous signal is one that is measured over a time axis and has a value defined at every instance. The real world is continuous (ie. analog). A discrete signal is one that is defined at integers, and thus is undefined in between samples (digital is an example of a discrete signal, but discrete does not have to imply digital). Instead of a time axis, a discrete signal is gathered over a sampling axis. Discrete signals are usually denoted by x[k] or x[n], a continuous signal is x(t) for example. Laplace transforms are used for continuous analysis, Z-transforms are used for discrete analysis. Fourier transforms can be used for either.
how is time series applied in the business world today
In continuous simulation systems, time is treated as a continuous variable, allowing for modeling of systems with continuous or fluid-like behavior. In discrete simulation systems, time is represented in discrete steps, making it suitable for modeling systems that operate in a step-by-step manner with distinct events. Continuous simulation systems require solving differential equations, while discrete simulation systems involve tracking the state changes based on discrete event occurrences.
its continuous because if it was discrete i could measure it right now but its actually over time. For example: if my doctor wants to weigh me ,he will weigh me once and then weigh me again in like 1 week or so
It is a continuous variable. BUT as soon as you measure it, the limitations of your timing device make the observation a discrete variable - even if you can measure with an accuracy of a nanosecond.