No, the normal curve is not the meaning of the Normal distribution: it is one way of representing it.
The area under the normal curve is ALWAYS 1.
Your question makes no sense. Significant is a word related to tests. The normal curve is a distribution, not a test.
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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.
The standard normal curve is symmetrical.
No, the normal curve is not the meaning of the Normal distribution: it is one way of representing it.
It is a normal curve with mean = 0 and variance = 1.
the standard normal curve 2
The area under the standard normal curve is 1.
There is no such thing as an "ormal curve". And a Normal curve IS symmetrical!
Answer this question...similarities and differences between normal curve and skewness
The area under the normal curve is ALWAYS 1.
Your question makes no sense. Significant is a word related to tests. The normal curve is a distribution, not a test.
The Gaussian curve is the Normal distributoin curve, the commonest (and most studied) of statistical distributions.
A bell shaped probability distribution curve is NOT necessarily a normal distribution.
yup, it's a bell curve