The probability is 0.4448, approx.
The mean must be 0 and the variance must be 1.
le standard normal distribution is a normal distribution who has mean 0 and variance 1
The standard normal distribution is a normal distribution with mean 0 and variance 1.
A bell shaped probability distribution curve is NOT necessarily a normal distribution.
This is supposed to be Y > u
The mean must be 0 and the variance must be 1.
No. Normal distribution is a continuous probability.
A normal distribution can have any value for its mean and any positive value for its variance. A standard normal distribution has mean 0 and variance 1.
le standard normal distribution is a normal distribution who has mean 0 and variance 1
Yes. When we refer to the normal distribution, we are referring to a probability distribution. When we specify the equation of a continuous distribution, such as the normal distribution, we refer to the equation as a probability density function.
The normal distribution can have any real number as mean and any positive number as variance. The mean of the standard normal distribution is 0 and its variance is 1.
The standard normal distribution is a normal distribution with mean 0 and variance 1.
Yes. Normal (or Gaussian) distribution are parametric distributions and they are defined by two parameters: the mean and the variance (square of standard deviation). Each pair of these parameters gives rise to a different normal distribution. However, they can all be "re-parametrised" to the standard normal distribution using z-transformations. The standard normal distribution has mean 0 and variance 1.
A bell shaped probability distribution curve is NOT necessarily a normal distribution.
This is supposed to be Y > u
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.