Answer:
(d) μ and σ²/n
Step-by-step explanation:
In a sampling distribution of sample means, the mean is equal to the population mean, which is μ.
The standard deviation of the sampling distribution of sample means is given by
σ/√n.
The variance of a distribution is the square of the standard deviation; this means the variance of the sampling distribution of sample means would be
(σ/√n)² = σ²/(√n)² = σ²/n
