Mathematically, the area underneath the graph of a curve is the value you get by integrating that curve. From classical mechanics, one knows that the integral of an object's velocity with respect to time gives you that object's position as a function of time. Thus, the area underneath the velocity time graph from one point in time to another is the change in position of that object between those two times or, it's distance traveled.
The area under the normal curve is ALWAYS 1.
In statistics you can find the area under a curve to establish what to expect between two input numbers. If there is a lot of area under the curve the graph is tall and there is a higher probability of things occurring there than when the graph is low.
put it in the fridge
Since a parabola is an open infinite curve, the area inside it is infinite.
The area is 0.008894
1. It is a probability distribution function and so the area under the curve must be 1.
Work done by the force.
1 sigma does not represent 68.8 percent of anything.The area under the standard normal curve, between -0.5 and +0.5, that i, the central 1 sigma, is equal to 0.68269 or 68.3%.
The area under the curve in a graph or chart represents the total value or quantity of the data being measured within that specific range or interval.
The peak's area under the curve represents the percentage of light energy absorbed. To calculate the percentage, divide the peak's area by the total area under the curve and multiply by 100.
Yes. The total area under any probability distribution curve is always the probability of all possible outcomes - which is 1.
Of course not! The solution to some equations could represent the area under a curve, or the volume of some shape, or the rate of change in something.
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The area under the standard normal curve is 1.
The area under the normal distribution curve represents the probability of an event occurring that is normally distributed. So, the area under the entire normal distribution curve must be 1 (equal to 100%). For example, if the mean (average) male height is 5'10" then there is a 50% chance that a randomly selected male will have a height that is below or exactly 5'10". This is because the area under the normal curve from the left hand side up to the mean consists of half of the entire area of the normal curve. This leads us to the definitions of z-scores and standard deviations to represent how far along the normal curve a particular value is. We can calculate the likelihood of the value by finding the area under the normal curve to that point, usually by using a z-score cdf (cumulative density function) utility of a calculator or statistics software.
If this is on mymaths.co.uk then the answer to this question is: Integration. That is how to find the area under the curve.
The area under the normal curve is ALWAYS 1.