Z Value Normal Distribution. Standard normal distribution table is used to find the area under the f z function in order to find the probability of a. The standard normal distribution also called the z-distribution is a special normal distribution where the mean is 0 and the standard deviation is 1. If you noticed there are two z-tables with negative and positive values. This means that one standard deviation of the raw score no matter what the raw value is always converts into 1 z score unit.
The standard normal distributions standard deviation is always 1. As we will see this is not a problem since the normal distribution is symmetric. Another way to interpret z-scores is by creating a standard normal distribution also known as the z-score distribution or probability distribution. Z X μ σ. Z is negative when the raw score is below the mean positive when above. So it only depends on whether the Z Score Value is positive or negative or whether we are looking up the area on the left of the mean or on the right of the mean when it comes to choosing the respective table.
Refer the column row values for z-score.
Thats where z-table ie. As we will see this is not a problem since the normal distribution is symmetric. Z X μ σ. The standard normal distribution always features the same shape of the raw score distribution. The standard normal distribution represented by the letter Z is the normal distribution having a mean of 0 and a standard deviation of 1. The standard normal distribution also called the z-distribution is a special normal distribution where the mean is 0 and the standard deviation is 1.