Let z1 be the smaller z value and z2 be the larger value. Let N(z) be the cumulative normal distribution evaluated at some value z. The random variable is Z.
The probability that Z has a value from minus infinity to z2 is equal to N(z2). You can show this by drawing a bell shape curve, and shading in everything to the left of z2 as equal to the area under curve.
Similarly, the probability that Z has a value from minus infinity to z1 is N(z1).
The area under the bell curve (standard normal cumulative distribution) is N(z1) - N(z2). I can show this with a little example:
z1= -1 z2 = 2 Area = N(2) - N(-1) = 0.9773 - 0.1587 = 0.8186. I used Excel with the normsdist(z) function. The mean is zero and standard deviation is one with this function.
What is the area under the normal curve between z=0.0 and z=1.79?
the standard normal curve 2
The Normal curve is a graph of the probability density function of the standard normal distribution and, as is the case with any continuous random variable (RV), the probability that the RV takes a value in a given range is given by the integral of the function between the two limits. In other words, it is the area under the curve between those two values.
What is the area under the normal curve between z equals 0.0 and z equals 2.0?
The question does not specify what z is but this answer will assume that it is the value of a random variable with a Standard Normal distribution. That being the case, the area under the curve between those values is 0.4875.
If the values of the function are all positive, then the integral IS the area under the curve.
You need to determine the area under the curve between the values in question. This is easy to do because there are tables that give the area values.
What is the area under the normal curve between z=0.0 and z=1.79?
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.
the standard normal curve 2
The Normal curve is a graph of the probability density function of the standard normal distribution and, as is the case with any continuous random variable (RV), the probability that the RV takes a value in a given range is given by the integral of the function between the two limits. In other words, it is the area under the curve between those two values.
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.
What is the area under the normal curve between z equals 0.0 and z equals 2.0?
The integral of the density with respect to the variable against which the density is plotted, between the values at the ends of the curve. Since there is no information given as to what the density is plotted against, a more informative answer is impossible.
The question does not specify what z is but this answer will assume that it is the value of a random variable with a Standard Normal distribution. That being the case, the area under the curve between those values is 0.4875.
Is the integral of the curve - between the two end points.
The area under the standard normal curve is 1.