No, the normal curve is not the meaning of the Normal distribution: it is one way of representing it.
One advantage of using normal distribution is that there are less errors. A disadvantage of normal distribution is that it can not be interpreted to terms of probabilities.
No, it's a continuous distribution.
A normal distribution is defined by two parameters: the mean, m, and the variance s2, (or standard deviation, s).The standard normal distribution is the special case of the normal distribution in which m = 0 and s = 1.
It is 1.281551
In a normal distribution half (50%) of the distribution falls below (to the left of) the mean.
In the normal distribution, the mean and median coincide, and 50% of the data are below the mean.
No. By definition of the median, the median has 50 percent of the case below and 50 percent of the cases above. This has nothing to do with the cases being in a normal distribution.
It is 68.3%
The standard normal distribution is a normal distribution with mean 0 and variance 1.
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.
le standard normal distribution is a normal distribution who has mean 0 and variance 1
The standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 1.
When its probability distribution the standard normal distribution.