Explain the concept of floating-point representation in binary number systems and its significance in computational accuracy and efficiency.

Floating-point representation in binary systems expresses real numbers in the form of a mantissa and an exponent, similar to scientific notation. This allows for a wide range of values with a trade-off between precision and range. It is crucial for computational accuracy and efficiency in scientific calculations, where fixed-point representation would be insufficient due to limited precision and range.