This shows that if the sample size is large enough, very small differences from the null value can be highly statistically significant.

Having null value for the primary key implies that we cannot identify some tuples.

These statistics were then compared across the chromosomes to an appropriate null value using single sample t -tests.

As such, when performing checks that enforced type checking, the null value will not equal other false types.

Extension methods can be made to check for null values, thereby freeing code that uses them from ever having to do so.

Sometimes a very simplistic approach to masking is adopted through applying a null value to a particular field.

It is then said to have a null value.

The presence of null values leads to three-valued logic.

Any computation including a null value delivers a null result.

Therefore, it essentially works as a type-safe alternative to the null value.