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