The distribution of will still use a normal distribution though
the distribution is positively skewed.
Mean μ = 2200
Standard deviation σ = 250
Standard error σ / √ n = 250 / √ 50 = 35.36
standardize xbar to z = (xbar - μ) / (σ / √ n)
P(xbar > 1,950) = P( z > (1,950-2200) / 35.36)
= P(z > -7.07) = 1
So probability is 1 or virtually certain.