Final answer:
The term for the error resulting from attempting to represent a number that is too precise is called a round-off error. It occurs when a system has to round a number to the nearest representable value, leading to a slight inaccuracy.
Step-by-step explanation:
The error resulting from attempting to represent a number that is too precise is known as a round-off error. When a value is measured or represented in a computational system, there's a limit to how precise these representations can be due to the system’s inherent limitations. For instance, when working with floating-point numbers in computers, there's a finite number of digits that can be stored. If a number requires more digits than the system can handle, it is rounded to the nearest value that can be represented. This process introduces what's known as a round-off error.
In contrast, overflow error occurs when a number is too large for the system to represent, while underflow error happens when a number is too small to be represented without leading to zero. Parallax error is unrelated to numerical precision; it is an error in measurement caused by the observer's position relative to the measurement scale when reading analog instruments.