The normal distribution is the most important probability distribution.
Theory
The normal distribution with expectation value and standard deviation is described by the function
Luckily, you will not be working with this function directly.
The probability of getting a result between and is given by the area bounded by the graph, the -axis and vertical lines at and . can be found in a probability table or through the use of digital tools.
When you’re working with a normal distribution by hand, you need to convert the normal distribution into the standard normal distribution. Then, you can use the standardized table that contains all the solutions. A standardized normal distribution is a normal distribution with an expected value equal to 0 and a standard deviation equal to 1. When converting into the standard normal distribution, you use the following conversion formula:
Formula
where the random variable is distributed just like the standard normal distribution.
Example 1
The birth weight of a newborn girl is considered normally distributed with an expectation value of and a standard deviation of .
You look up the -value in the probability table for the normal distribution and find that
You look up the -value in the table and find that
which gives you that
The probability that a random newborn girl weighs more than kg is %.
The probability that a random newborn girl weighs between kg and kg is %.