are space and time discrete or continuous?
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Most physicists honor Einstein's insight, and so most approaches to quantum gravity take space and time to either both be continuous or both be discrete. But some dissidents argue that only space or only time should be discrete.
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In practice, percentage data are often treated as continuous because the percentage can take on any value along the continuum from zero to 100%. In addition, dividing a percentage point into two or more parts still makes sense. Discrete data are easy to collect and interpret.
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Discrete data can only take particular values. ... Continuous data are not restricted to defined separate values, but can occupy any value over a continuous range. Between any two continuous data values, there may be an infinite number of others. Continuous data are always essentially numeric.
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The most common discrete graphs are those that represent sequences and series. These graphs do not possess a smooth continuous line but rather only plot points above consecutive integer values. Values that are not whole numbers are not represented on these graphs.
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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. The number of questions correct would be discrete--there are a finite and countable number of questions.
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Discrete variables are numeric variables that have a countable number of values between any two values. A discrete variable is always numeric. ... Continuous variables are numeric variables that have an infinite number of values between any two values. A continuous variable can be numeric or date/time.
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In everyday life, we inhabit a space of three dimensions – a vast 'cupboard' with height, width and depth, well known for centuries. Less obviously, we can consider time as an additional, fourth dimension, as Einstein famously revealed.
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Explanation: Discrete data is data where it has to be from a certain set of values e.g a shoe size can only be a certain value. The height is continuous as the height could take multiple values e.g from 10m all the way up 18.95m.
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There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. As a general rule, counts are discrete and measurements are continuous.
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Let's review. A discrete function is a function with distinct and separate values. A continuous function, on the other hand, is a function that can take on any number within a certain interval. Discrete functions have scatter plots as graphs and continuous functions have lines or curves as graphs.
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"A discrete variable is one that can take on finitely many, or countably infinitely many values", whereas a continuous random variable is one that is not discrete, i.e. "can take on uncountably infinitely many values", such as a spectrum of real numbers.
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A discrete variable is one that cannot take on all values within the limits of the variable. ... The variable cannot have the value 1.7. A variable such as a person's height can take on any value. Variables that can take on any value and therefore are not discrete are called continuous.
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Discrete signals. A signal, of which a sinusoid is only one example, is a sequence of numbers. A continuous-time signal is an infinite and uncountable set of numbers, as are the possible values each number can have.
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Mondal[1] suggests that age can be viewed as a discrete variable because it is commonly expressed as an integer in units of years with no decimal to indicate days and presumably, hours, minutes, and seconds.
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There are two types of quantitative variables: discrete and continuous. What does the data represent? Counts of individual items or values.
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2 Answers. Time is orthogonal to space. Check that (1,0,0,0)⋅(0,1,0,0)=0 and likewise for all other spacelike unit vectors, where ⋅ represents the Lorentz invariant scalar product and I put time in the 0th coordinate.
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The value if n must be a natural number making the graph if the sequence discrete. Are arithmetic sequences and geometric series continuous or discrete? Discrete, values between the terms if the sequence are not included in the sequence.