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 is a continuous random variable,mound or bell shaped curve
If the underlying distribution of the product is normally distributed then (and only then) the normal distribution can be used to identify specimens that are outside the acceptable range.
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.