Given:
The data is
\(k, 2k, 3k, \ldots, 1000k\)
Mean deviation about median = 500
Step 1: Find the median
Total number of terms = 1000 (even).
The median is the average of the 500th and 501st terms.
\[
\text{Median} = \frac{500k + 501k}{2} = \frac{1001k}{2}
\]
Step 2: Formula for mean deviation about median
\[
\text{MD} = \frac{1}{n}\sum |x_i - \text{Median}|
\]
Here, \(n = 1000\)
Step 3: Absolute deviations
Deviations are symmetric about the median.
\[
|rk - \tfrac{1001k}{2}| = k\left|\tfrac{1001}{2} - r\right|
\]
Hence,
\[
\sum |x_i - \text{Median}|
= k \sum_{r=1}^{1000} \left|\tfrac{1001}{2} - r\right|
\]
Step 4: Evaluate the sum
The sum of absolute deviations for first 1000 natural numbers about their median is:
\[
\sum_{r=1}^{1000} \left|\tfrac{1001}{2} - r\right| = 250000
\]
Step 5: Mean deviation
\[
\text{MD} = \frac{1}{1000} \times k \times 250000
\]
\[
\text{MD} = 250k
\]
Given mean deviation = 500
\[
250k = 500
\]
\[
k = 2
\]
Final Answer:
\[
k^2 = 4
\]