z = 2.5783
Explanation:
You should make a sketch of the normal curve, with a mean of zero. Now, shade in the region between -z to z as 0.99. The unshade parts must equal 1 - 0.99 or 0.01. Each unshaded parts (left and right tails) are equal, so we need the area of the cumulative normal equal to 0.005, which is -2.5783. I used Excel function: norminv(0.005,0,1).
So from -2.5783 to 2.5784, the area is equal to 0.99 and from minus infinity to
-2.5783, the area is 0.005 and from 2.5783 to infinity, the area is 0.005.
the standard normal curve 2
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 standard normal curve is symmetrical.
~0.0606
It is a normal curve with mean = 0 and variance = 1.
the standard normal curve 2
The standard normal curve is symmetrical.
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%.
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.
The area under the standard normal curve is 1.
The distance between the middle and the inflection point is the standard deviation.
~0.0606
0.1972
It is a normal curve with mean = 0 and variance = 1.
No, the normal curve is not the meaning of the Normal distribution: it is one way of representing it.
No, it extends to infinity in both directions.
The area within the normal curve between -1 standard deviation (SD) and +1 SD is approximately 68%. This means that about 68% of the data falls within one standard deviation of the mean in a normal distribution.