Look in any standard normal distribution table; one is given in the related link. Find the area for 2.43 and 1.52; then take the area for 2.43 and subtract the area for 1.52 and that will be the answer. Therefore, .9925 - .9357 = .0568 = area under the normal distribution curve between z equals 1.52 and z equals 2.43.
No, the normal curve is not the meaning of the Normal distribution: it is one way of representing it.
In a standard normal distribution, the area under the curve to the right of the mean (mu) is 0.5. This is because the normal distribution is symmetric around the mean, and half of the total area (which equals 1) lies to the right of the mean and half to the left. Therefore, for any normal distribution where mu is the mean, the area to the right of mu is always 0.5.
A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.
0.1972
It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.
0.4846
2.16
What is the area under the normal curve between z equals 0.0 and z equals 2.0?
0.0006 (approx).
No, the normal curve is not the meaning of the Normal distribution: it is one way of representing it.
A bell shaped probability distribution curve is NOT necessarily a normal distribution.
In a standard normal distribution, the area under the curve to the right of the mean (mu) is 0.5. This is because the normal distribution is symmetric around the mean, and half of the total area (which equals 1) lies to the right of the mean and half to the left. Therefore, for any normal distribution where mu is the mean, the area to the right of mu is always 0.5.
A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.
Approx 0.0606
~0.0606
0.1972
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.