what is the difference between discrete and continuous system?
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A discrete system is one in which the state variable(s) change only at a discrete set of points in time. ... A continuous system is one in which the state variable(s) change continuously over time. E.g. the amount of water flow over a dam.
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Difference between Analog and Digital Computer. The analogue computer works on a continuous signal. The digital computer works on a discrete signal. ... The output is a voltage signal, they are not exact values and are in graphical form.
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Discrete data is data that has distinguishable spaces between values. Often it is data that is counted. Tickets you have for a show. Continuous data is data that falls on a continuum.
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Digital Signals. Digital signals must have a finite set of possible values. ... That's the big difference between analog and digital waves. Analog waves are smooth and continuous, digital waves are stepping, square, and discrete.
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Discrete data involves round, concrete numbers that are determined by counting. Continuous data involves complex numbers that are measured across a specific time interval. A simple way to describe the difference between the two is to visualize a scatter plot graph vs.
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There are two types of random variables, discrete and continuous.
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Basic differences between analog and digital pedals The first major difference between these two pedal types is that the signal of an analog pedal is continuous and is processed unadulterated whereas the signal of a digital pedal is made up of various individual points.
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A probability distribution may be either discrete or continuous. A discrete distribution means that X can assume one of a countable (usually finite) number of values, while a continuous distribution means that X can assume one of an infinite (uncountable) number of different values.
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Lesson Summary In other words, continuous variation is where the different types of variations are distributed on a continuum, while discontinuous variation is where the different types of variations are placed into discrete, individual categories.
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b) Discrete Probability distribution consists of the values a random variable can assume and the corresponding probabilities of the values. a) All probabilities must between 0 and 1 b) The sum of the probabilities must add up to 1. Continuous RANDOM VARIABLE – The number of values that X can assume is INFINITE.
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Temperature is continuous variable as it does have fractional value too. For example: Today's temperature is 30.5 degree Celsius, here 30.5 is not a discrete variable and hence is a continuous variable. It has wide range and its value is true for all real numbers.
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Understanding Uniform Distribution Some uniform distributions are continuous rather than discrete. An idealized random number generator would be considered a continuous uniform distribution.
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Discrete data have finite values, or buckets. You can count them. Continuous data technically have an infinite number of steps, which form a continuum.
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Discrete data is normally recorded on a block graph or bar chart. There should be gaps between the bars to show that data is discrete. Continuous data results from measurements such as lengths of caterpillars or weights of crisp packets, and may be organised in touching but non-overlapping groups.
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Digital signals must have a finite set of possible values. The number of values in the set can be anywhere between two and a-very-large-number-that's-not-infinity. ... That's the big difference between analog and digital waves. Analog waves are smooth and continuous, digital waves are stepping, square, and discrete.
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In physics, a continuous spectrum usually means a set of attainable values for some physical quantity (such as energy or wavelength) that is best described as an interval of real numbers, as opposed to a discrete spectrum, a set of attainable values that is discrete in the mathematical sense, where there is a positive ...
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Psykolord1989 . Answer: Continuous if looking for exact age, discrete if going by number of years. If a data set is continuous, then the associated random variable could take on any value within the range.