# Data Type Troubleshooting

What follows is a list of problems that can occur when you use intrinsic data types.

## Floating-point values do not compare as equal

When you use floating-point numbers (Real32, Real64, Real, and Real128), know that they are stored as binary fractions.
They can hold an accurate quantity only when it is a binary fraction with `k / (2 ^ n)`

, where `k`

and `n`

are integers.
For example, `0.5 = 1/2`

and `0.1875 = 3/16`

.
Thus these are accurate values.
But `0.3 = 3/10`

and `0.15 = 3/20`

, thus these are approximate values.

Because of this, you cannot be sure of accurate values as a result of floating-point operations. You cannot think that two given values will be equal, although mathematics shows that they are.

To compare floating-point values, follow these steps:

- Select a satisfactory maximum tolerance for the given comparison. All values in this range will become equal.
- Put
`Tol`

directly after the end of the comparison expression. - Follow that with the selected tolerance value.
This can be a floating-point literal or a declared constant (See
`Const`

).

See Tol Clause for more information.