Answer:
NOrmal distribution
Step-by-step explanation:
As per central limit theorem sample mean follows a normal distribution for large samples drawn at random.
a) X bar follows a normal distribution with mean = 81 and std error = [tex]\frac{\sigma}{\sqrt{n} } =2[/tex]
b) [tex]P(X>84.1) = P(Z>\frac{84.1-81}{2} \\=P(Z>1.55)\\= 0.5-0.4394\\\\=0.0606[/tex]
c) [tex]P(X\leq 76.2)\\= P(Z\leq \frac{76.2-81}{2} =P(Z\leq2.4)\\= 0.5-0.4793\\=0.0207[/tex]
Symmetrical
B. The distribution is approximately normal.