Mastering: How to Use Z Table + Examples

The Z-table, also known as the standard normal table, is an indispensable tool in statistics. It allows us to find the probability of a standard normal distribution falling within a certain range. In simpler terms, it helps us understand how likely a particular data point is to occur within a standard normal distribution, which is a bell-shaped curve centered around a mean of 0 with a standard deviation of 1.

But how to use z table effectively? Imagine you want to know the probability of a value being less than 1.5 on a standard normal distribution. You would use the Z-table to find the corresponding probability, which is approximately 0.9332. This means that there is a 93.32% chance of a randomly selected value from a standard normal distribution being less than 1.5. This powerful ability makes the Z-table crucial for hypothesis testing, confidence interval calculations, and various other statistical analyses.