Difficulty: Easy
Correct Answer: errors in binary data transmission
Explanation:
Introduction / Context:
Parity generation and checking is a classic, low-cost technique used in digital electronics and computer systems to detect accidental changes in binary data. It appears in serial links, memory systems, I/O buses, and simple communication protocols to provide a first line of defense against bit errors introduced by noise or interference.
Given Data / Assumptions:
Concept / Approach:
Parity adds one extra bit so that the total number of 1s (data bits + parity bit) is even for even parity, or odd for odd parity. At the receiver, parity is recomputed and compared with the received parity bit to decide whether a transmission or storage error likely occurred.
Step-by-Step Solution:
Verification / Alternative check:
Because parity is essentially an XOR (mod-2 sum) across the bits, it reliably detects any odd number of bit flips (not just one). For many practical channels where single-bit errors dominate, parity is effective and simple.
Why Other Options Are Wrong:
Determining which number is greater requires a magnitude comparator, not parity. Arithmetic errors in a CPU are handled by internal logic or checksums, not parity on the ALU outputs. Counter miscounts are detected by redundant encoding or watchdog logic, not parity alone.
Common Pitfalls:
Assuming parity corrects errors (it does not), or that it detects all multi-bit errors (it only guarantees detection of odd-count bit flips). Confusing even versus odd parity conventions can also lead to false error flags.
Final Answer:
errors in binary data transmission
Discussion & Comments