Question

When the Mean of a number is 18, what is the Mean of the sampling distribution?

Answer 1

a)Sample mean value=5

b) sample 16,18,18 population mean=17.33, variance=0.888

sample mean=17.33 , variance =1.333

sample 16,18,20 population mean=18, variance=2.66

sample mean=18 , variance =4

sample 20,18,18 population mean=18.66, variance=0.888

sample mean=18.66 , variance =1.333

Answer 2

Mean of the sampling distribution is 18

Step-by-step explanation:

Given :

Mean of a number is 18

To find:

When the Mean of a number is 18, what is the Mean of the sampling distribution?

a) 21

b) 18

c) 27

d) 23

Explanation:

The Sampling Distribution of the Sample Mean:

• Is repeated random samples of a given size n are taken from a population of values for a quantitative variable,
• where the population mean is μ (mu) and the population standard deviation is σ (sigma) then the mean of all sample means (x-bars) is population mean μ (mu).

• In sampling distribution, the Mean of a number is equal to the Mean of the sampling distribution;

• int the given question, the Mean of the number is 18 hence, the Mean of the sampling distribution is 18.

hence, Mean of the sampling distribution is 18