Because the domain of the normal distribution is infinite - in both directions.
No, the normal curve is not the meaning of the Normal distribution: it is one way of representing it.
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.
A bell curve describes the graphed curve that normal distribution produces for a set of data. The curve slopes upward before returning downward after the point of the mean.
Your question makes no sense. Significant is a word related to tests. The normal curve is a distribution, not a test.
The mean of a standard normal curve is 0. This curve, which is a type of probability distribution known as the standard normal distribution, is symmetric and bell-shaped, centered around the mean. Additionally, the standard deviation of a standard normal curve is 1, which helps define the spread of the data around the mean.
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.
a bell-shaped curve known as a normal distribution. This distribution shows the range of phenotypes in a population, with most individuals clustering around the average phenotype and fewer individuals at the extremes of the distribution.
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 normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
yup, it's a bell curve
A bell curve describes the graphed curve that normal distribution produces for a set of data. The curve slopes upward before returning downward after the point of the mean.
Your question makes no sense. Significant is a word related to tests. The normal curve is a distribution, not a test.
The domain of the Normal distribution is the whole of the real line. As a result the horizontal axis is asymptotic to the Normal distribution curve. The curve gets closer and closer to the axis but never, ever reaches it.
The mean of a standard normal curve is 0. This curve, which is a type of probability distribution known as the standard normal distribution, is symmetric and bell-shaped, centered around the mean. Additionally, the standard deviation of a standard normal curve is 1, which helps define the spread of the data around the mean.
normal curve
Neither. It is symmetrical.