What is the main focus of fixed point representation in terms of internal number storage?

Fixed point representation is concerned with how numbers are stored in a computer system, particularly in a way that maintains a consistent position of the decimal point. In this method, each number is represented with a fixed amount of digits before and after the decimal point. This means that numbers are stored in a structured format where the location of the decimal point does not change, allowing for straightforward and efficient calculations.

The choice that states it stores each number as single sets of digits directly aligns with this concept. In fixed point representation, a defined number of digits is allocated consistently for each number, simplifying both storage and arithmetic processes. This method contrasts with variable-point representations, where the decimal point can shift based on the number's value, which can complicate calculations and storage.

The other options do not accurately reflect the main focus of fixed point representation. For instance, variable positions for digits relate more to floating point representation, where the decimal point can indeed move. Incorporating exponential calculations refers to floating point representations, which is designed for a broader range of numbers rather than fixed positioning. Lastly, the idea of maximizing speed over range is not a defining feature of fixed point representation; its focus is more on consistency and predictability in storage rather than performance enhancements.