We are given the observations \( 2, 3, 4, 5, 7, a, b \), and the mean \( \mu = 4 \) and standard deviation \( \sigma = \sqrt{2} \).
Step 1: Calculate the sum of the observations
The mean of the observations is given by:
\[
\frac{2 + 3 + 4 + 5 + 7 + a + b}{7} = 4
\]
This simplifies to:
\[
2 + 3 + 4 + 5 + 7 + a + b = 28
\]
So, we have:
\[
21 + a + b = 28 \quad \Rightarrow \quad a + b = 7
\]
Step 2: Calculate the sum of squared deviations
The formula for the standard deviation is:
\[
\sigma^2 = \frac{1}{n} \sum_{i=1}^{n} (x_i - \mu)^2
\]
Substitute the known values:
\[
2^2 + 3^2 + 4^2 + 5^2 + 7^2 + a^2 + b^2 = 7 \cdot 2
\]
Simplifying:
\[
4 + 9 + 16 + 25 + 49 + a^2 + b^2 = 14
\]
\[
103 + a^2 + b^2 = 14 \quad \Rightarrow \quad a^2 + b^2 = 14 - 103 = -89
\]
Now, substitute \( a + b = 7 \) into this equation:
\[
a^2 + b^2 = (a + b)^2 - 2ab
\]
\[
-89 = 49 - 2ab \quad \Rightarrow \quad ab = 64
\]
Step 3: Mode Calculation
The mode of the observations is 4 (since it appears most frequently).
Step 4: Calculate the Mean Deviation
The mean deviation about the mode is given by:
\[
\frac{|2 - 4| + |3 - 4| + |4 - 4| + |5 - 4| + |7 - 4| + |a - 4| + |b - 4|}{7}
\]
Substituting the values, we find:
\[
\frac{2 + 1 + 0 + 1 + 3 + |a - 4| + |b - 4|}{7}
\]
Since \( a = 4 \) and \( b = 4 \), the mean deviation simplifies to:
\[
\frac{2 + 1 + 0 + 1 + 3 + 0 + 0}{7} = \frac{7}{7} = 1
\]
Thus, the mean deviation about the mode is \( 1 \).