Signal classification — identify the type of information when binary digits are used. An informational signal encoded using binary digits (0 and 1) is best described as:

Introduction / Context:
Communication and computation systems categorize signals by how information is represented. Binary digits (bits) use two symbols to encode data, forming the foundation of modern digital electronics and computing.

Given Data / Assumptions:

• Encoding set: {0, 1} (binary)
• Receiver uses thresholds or symbol decision rules
• No requirement for continuous amplitude fidelity

Concept / Approach:
A digital signal conveys information using a finite set of discrete symbols. Binary is the simplest case with two levels. Analog signals, by contrast, can (ideally) assume a continuum of amplitudes; small changes matter directly to the information carried.

Step-by-Step Reasoning:

Verification / Alternative check:
Digital receivers specify decision thresholds (e.g., VIH/VIL). As long as the signal resides in the correct region, it decodes to 0 or 1 regardless of minor analog fluctuations, matching the definition of digital signaling.

Why Other Options Are Wrong:

• Solid state: describes device technology (semiconductors), not information representation.
• Analog: uses continuous amplitudes, not discrete digits.
• Non-oscillating: relates to waveform behavior, not encoding type.
• Stochastic: refers to randomness, not signal representation.

Common Pitfalls:

• Confusing “digital” with “discrete-time” (sampling) versus “discrete-amplitude” (symbol levels); here the emphasis is amplitude symbols.

Final Answer:
digital