To solve this problem, we will use the empirical relationship between mean, median, and mode typically observed in a moderately skewed distribution.
This relationship is given by: Mode = 3 \(\times\) Median - 2 \(\times\) Mean
Let's denote:
According to the problem, the difference between mode and mean is k times the difference between median and mean:
(Mo - X̄) = k(Me - X̄)
Substitute the empirical relationship into the equation:
(3Me - 2X̄ - X̄) = k(Me - X̄)
3Me - 3X̄ = kMe - kX̄
Rearranging terms gives us:
3Me - kMe = 3X̄ - kX̄
Me(3 - k) = X̄(3 - k)
Since Me and X̄ are not equal in a skewed distribution, we cannot cancel (3 - k).
Therefore, if 3 - k = 0, k = 3.
Thus, the value of k is 3.
Given: The difference between mode and mean of a data is \( k \) times the difference between median and mean.
Step 1: Recall the Empirical Formula
The empirical relationship between mode, mean, and median is:
\[ \text{Mode} = 3 \times \text{Median} - 2 \times \text{Mean} \]
Rearranging this equation:
\[ \text{Mode} - \text{Mean} = 3 \times (\text{Median} - \text{Mean}) \]
Comparing with the given condition:
\[ k = 3 \]
Final Answer: \( \mathbf{3} \)