To solve this problem we use the z statistic. The formula for z score is:
z = (x – u) / s
where,
x = sample value mean = 178 – 0.56 = 177.44 mm
u = total sample mean = 178 mm
s = standard deviation = 12 mm
z = (177.44 – 178) / 12
z = -0.05
from the tables P (z = -0.05) = 0.484
So the probability P is: [multiply by 2 since we account the two sides)
P = (0.5 – 0.484) * 2 = 0.0320