Here, µ = 52; σ2 = 64
∴ σ = 8 .
Suppose, the limits that include exactly middle 25% of the observations is x1 to x2.

P[x1 ≤ X ≤ µ] = 0.125
∴ P[z1 ≤ Z ≤ 0] = 0.125
From the table, for area 0.1217, z1 = – 0.31 and for area 0.1255,
z1 = – 0.32 and for area \(\frac{0.1217+0.1255}{2}\) = 0.1236,
z1 = \(\frac{(−0.31)+(−0.32)}{2}\) = – 0.315
(∵ z1 is on left side.)
According to above calculation, 0.125 is near to 0.1255, so we will take z1 = -0.32.
Now, z1 = \(\frac{x_1−52}{8}\)
∴ – 0.32 = \(\frac{x_1−52}{8}\)
∴ – 0.32 × 8 = x1 – 52
∴ 52 – 2.56 = x1
∴ x1 = 49.44
P[µ ≤ X ≤ x2] = 0.125
∴ P[0 ≤ Z ≤ z2] = 0.125 (∵ z2 = 0.32 ( vz2 is on right side.)
Now, z2 = \(\frac{x_2−μ}{σ}\)
∴ 0.32 = \(\frac{x_2−52}{8}\)
∴ 0.32 × 8 = x2 – 52
∴ 52 + 2.56 = x2
∴ x2 = 54.56
Hence, the limits which include exactly middle 25% of the observations of a normal distribution obtained is 49.44 to 54.56.