There is no histogram below.
However, the area under the curve for any histogram is the total frequency.
W = F D W = ( F / A ) ( A D ) W = P ( AD ) W = P (V) Work = area under the curve on a P-V diagram.
One word answer: integrate. The area under the acceleration curve, up to time T, is the speed at time T. If you now make a curve of the speed as a function of time, and find the area under that up to time T, that will be the position at time T.
In the context of capacitors, the area under a current, I, time, t, graph equals the total charged stored on a capacitor.
Load duration curve represents re-arrangement of all load elements of chronological load curve in the order of descending magnitude. It illustrates the relationship between generating capacity requirements and capacity utilization.The area under the load duration curve and the corresponding chronological load curve is equal and represents total energy delivered by the generation station.
Distance travelled (displacement). Distance = velocity/time, so velocity * time = distance. Likewise, x = dv/dt so the integral of velocity with respect to time (area under the graph) is x, the distance travelled.
The area under the standard normal curve is 1.
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.
If the values of the function are all positive, then the integral IS the area under the curve.
the standard normal curve 2
WORK
What is the area under the normal curve between z=0.0 and z=1.79?
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.
320 degrees
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 the question is to do with a probability distribution curve, the answer is ONE - whatever the values of mu and sigma. The area under the curve of any probability distribution curve is 1.
yes because 1 = 100% so the entire area under the curve is 100%