The mean of the sampling distribution of the mean is the mean of the population from which the scores were sampled. Therefore, if a population has a mean μ then the mean of the sampling distribution μ₁ of the mean is also μ.
So μ = μ1 =82
Now let' calculate σ the standard deviation of the sampling distribution of the mean: It is computed as follows:
σ₁ = σ/√n ==> σ₁ = 6/√n