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.
Yes, the normal distribution curve is unimodal, meaning it has a single peak or mode. This peak represents the mean, median, and mode of the distribution, which are all located at the center of the curve. The symmetry of the normal distribution around this central peak is a key characteristic, contributing to its widespread use in statistics and probability theory.
Your question makes no sense. Significant is a word related to tests. The normal curve is a distribution, not a test.
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.