Step 1: Recall the PCM bit rate formula.
For pulse code modulation, the bit rate is the sampling rate multiplied by the number of bits used to code each sample.
\[ R_b = f_s \times n \]
where \(f_s\) is the sampling frequency and \(n\) is the number of bits per sample.
Step 2: Find the number of bits per sample from the number of levels.
With \(512\) quantization levels, each sample needs \(n\) bits such that \(2^n = 512\). Since \(2^9=512\), \(n=9\) bits per sample.
Step 3: Use the sampling rate that is actually given.
The question states the sampling frequency directly as \(f_s = 6\) kHz, so we use this value as it stands rather than recomputing a Nyquist rate from the \(200\) Hz to \(2400\) Hz signal band (that band information is only there to describe the signal, the sampling rate to use is the stated \(6\) kHz).
Step 4: Compute the bit rate.
\[ R_b = 6 \times 9 = 54 \text{ kbps} \]
Step 5: Why the other options are wrong.
Option (B) \(48\) comes from miscounting the bits per sample as \(8\) instead of \(9\) (mistaking \(2^8=256\) for the level count instead of \(2^9=512\)), giving \(6\times8=48\). Option (C) \(19.2\) comes from wrongly using the upper signal frequency, \(2400\) Hz, as the sampling rate together with the same wrong \(8\)-bit count, giving \(2.4\times8=19.2\). Option (A) \(16\) comes from a similar mix-up, using a rounded \(2\) kHz bandwidth figure with \(8\) bits, giving \(2\times8=16\). None of these use the correct pairing of the stated \(6\) kHz sampling rate with the correct \(9\)-bit count.
Final Answer:
The bit rate is \(54\) kbps.
\[ \boxed{R_b = 54 \text{ kbps}} \]