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What z-score for the upper 50 percent of area under the normal curve?
Wiki User
∙ 14y ago
A Z-Score of 0 separates the upper 50% of the area from the lower 50% of the area. A Z-Score of 0 is at the mean, median, and mode of the distribution.
Wiki User
∙ 14y ago
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How does 1 sigma represent 68.8 percent of the total area under a normal curve?
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%.
What is the area under the standard normal curve?
the standard normal curve 2
What is the area under the normal curve between Z0.0 and Z1.79?
What is the area under the normal curve between z=0.0 and z=1.79?
What is the area under the normal curve between z equals 0.0 and z equals 2.0?
What is the area under the normal curve between z equals 0.0 and z equals 2.0?
What is the total area under the normal distribution curve?
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.
What proportion of the area under a normal curve is to the right of a z-score of zero?
50 percent.
How does 1 sigma represent 68.8 percent of the total area under a normal curve?
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%.
He area under the standard normal curve is?
The area under the standard normal curve is 1.
The area under the normal curve is greatest in which scenario?
The area under the normal curve is ALWAYS 1.
What is the area under the standard normal curve?
the standard normal curve 2
How do the width and height of a normal distribution curve?
By standard practice, the normal distribution curve should be normalized so that the area under the curve is 1. This results in a height, at the mean, of about 0.4, i.e. the probability of a sample value being equal to the mean is 40 percent. The width of the normal distribution curve is infinite, as the tails are asymptotic to the X axis. It is easier to understand that the +/- one sigma area is 68.2 percent, the +/- two sigma area is 95.4 percent, and the +/- three sigma area is 99.6 percent.
What is the area under the normal curve between Z0.0 and Z1.79?
What is the area under the normal curve between z=0.0 and z=1.79?
The area under a normal curve with mu equals 8 and sigma equals 3 is?
The area under a normal curve with mu = 8 and sigma = 3 is
What is the area under the normal curve between z equals 0.0 and z equals 2.0?
What is the area under the normal curve between z equals 0.0 and z equals 2.0?
What is called area under normal curve?
It is called ONE = 1.
What is the total area under the normal distribution curve?
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.
What are the characteristics of a normal distribution curve?
Characteristics of a Normal Distribution1) Continuous Random Variable.2) Mound or Bell-shaped curve.3) The normal curve extends indefinitely in both directions, approaching, but never touching, the horizontal axis as it does so.4) Unimodal5) Mean = Median = Mode6) Symmetrical with respect to the meanThat is, 50% of the area (data) under the curve lies to the left ofthe mean and 50% of the area (data) under the curve liesto the right of the mean.7) (a) 68% of the area (data) under the curve is within onestandard deviation of the mean(b) 95% of the area (data) under the curve is within twostandard deviations of the mean(c) 99.7% of the area (data) under the curve is within threestandard deviations of the mean8) The total area under the normal curve is equal to 1.
