solution:
If U=W-(54.5/6) then W=U+(54.5/6).
Assuming a one-for-one transformation, the mean for W is found by adding all the W data together then dividing by 79.
That is, Wbar=(w1+w2+w3+...+w79)/79.
But w1=u1+54.5/6, w2=u2+54.5/6, etc.
So Wbar=(u1+u2+...+u79)/79+(79×54.5/6)/79=Ubar+54.5/6=6.8+54.5/6=15.8833 approx.
The variance is unaffected by the transformation since variance is simply the spread of the data which doesn’t change.
Wbar=Ubar=1.8.