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
No sé lo que quieres decir
Answer:
<h2>ratio is </h2>
Step-by-step explanation:
<h2>2:7. your answer is like. </h2>
<h2>Follow me</h2>
1. -36 is less
2. .12
3. 3.36
I don’t use property’s but u know 8 is the identity property
Answer:$10.52
Step-by-step explanation: