Standard normal distribution
As one would probably expect, the standard normal distribution is standardized.
When working with distributions, one usually looks for intervals within which a value lies. E.g., One is asking: With which probability a value y lies between y1 <y < y2 ?
Standard normal distribution is the best way to calculate such a probability.
First, you standardize your y values to z values.

If you found the z value look for the Phi value in the z table (which you can find on the internet). The Phi value tells you the probability from -infinite till this z value.
Example 1
Which value of the variable y has fallen bellow with a probability of 10%? Given probability 10% Standard deviation 6,00 Mean (Mü) 0,5 Now you have your formula: z = (y-yI)/stand. As outlined above, by looking at your z value, you can find the respective Phi value. So, of course, you can find the respective z value with a Phi value.Formula: 10% -> z= -1,2582 -1,2582 = (y-0,5)/6 -1,2582*6+0,5= y y = -7,05 A y value of -7,05 will be fallen bellow with a probability of 10%. EXAMPLE 2 Which value of the variable y has excceded with a given probability of 10%? Given probability 10% Standard deviation 6,00 Mean (Mü) 0,5 Formula: z = (y-yI)/stand phi*stand+yI = y
The Phi value tells you the probability from minus -1 till this z value. You look for an excceding value, so you must find the phi value (probability) that a variable y would fall bellow with a given probability of 90% (100%-10%). 90% has a z value of 1,282. 1,282*6+0,5 = 8,192 Therefore, the value of the variable y that is excceded with a given probability of 10% is 8,192. Example 3 In which range (interval) is a given proportion ( 90%) of the data? Given probability: 5% on the left side and 5% on the right side. Standard deviation 6,00 Mean (Mü) 0,5 You do this for both z values. z1 and z 2 First, let's calculate the 5% area on the left. As you know, Phi always shows you the probability from -infinite till the z value. The z value for 5% is -1,645. Now we calculate the z value on the right. 100%-5% = 95%. The z value for 95% is 1,654
Formula= Z*stand+yI. = y
y= 1,645*6+0,5= 10,37. That means 95% of the values excede 10,37
Formula= z*stand+yI=y -> y= -1,645*6+0.5 = – 9,37. That means 5% of the values are bellow -9,37.
Therefore 90% of the values are between -9,37 and 10,37!