to tell you the truth i don't know answer.com don't give you the answers you need like ,<duhh>
Under Perfect Competition the demand curve is perfectly elastic. I don't know if that helps but it might
A density curve is a graphical representation of the distribution of a continuous random variable, illustrating how probabilities are distributed across different values. It shows the shape of the data and ensures that the total area under the curve equals one, reflecting the total probability. The area under the curve between two points indicates the probability of the variable falling within that range. Density curves can take various shapes, such as normal, uniform, or skewed, depending on the underlying data distribution.
"Curve" and "bend" are sometimes used to mean similar things, yet both words have slightly different applications. "Curve" usually describes a smooth, even arching of a line. It often refers to something intentional (usually "bend" is used to describe something which was done accidentally such as in "I bent the hood of my car"). "Curve" is usually not used as a verb, whereas "bend" usually is. Example: "He bent the iron bar". Curve is used more often as a noun. Curve and bend can be used to describe similar things under limited contexts such as "There was a bend (or curve) in the road".
when marginal revenue equal to marginal cost,when marginal cost curve cut marginal revenue curve from the below and when price is greter than average total cost
A perfectly inelastic supply relation would be defined as one where the quantity produced remains static under any price change. If we'd plot this curve in the familiar demand-supply framework with price being on the y-axis and quantity on the x-axis, the curve would be vertical.
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.
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.
The area under the standard normal curve is 1.
Yes. The total area under any probability distribution curve is always the probability of all possible outcomes - which 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.
WORK
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.
the standard normal curve 2