Normal Distribution and its Significance by Roshmita Dey

normal distribution  The standard normal distribution is a special normal distribution with a µ = 0 and σ = 1 We can use the Z-score to standardize any normal random variable, The Normal Distribution The parameters of the distribution are m and s2, where m is the mean of the distribution and s2 is the variance We

Converting Normal to Standard Normal To convert X X to Z Z use the formula Z=X−μσ Let's think about what this does We have a normally distributed random If you leave out the μ and σ, then the default is the standard normal distribution For a left-tail area use a lower bound of –1E99 (negative

The total area under the normal curve is equal to 1 And, the probability that a normal random variable X is less than positive infinity is equal to 1; that is, What are characteristics of Normal Distribution? · Normal Distribution Curve is symmetric about mean · Normal Distribution is unimodal in