Since we know the sample is pulled from a normal population with a known standard deviation, we can assume the sample is normally distributed. This allows us to use a z-score instead of a t-score for the critical value. This critical value comes out to be approximately 1.28 from the table (1.281552 when using a calculator). Then the margin of error (MOE) equals that multiplied by standard deviation of the mean:
MOE = zα/2•σ/√n
= 1.28•6.2/√78
= 0.8986
Lastly the confidence interval is found by subtracting and adding this from the mean.
CI = (µ-MOE, µ+MOE)
= (39.06-0.8986, 39.06+0.8986)
= (38.1614, 39.9586)
Thus, 38.16 < µ < 39.96.