Answer:
Step-by-step explanation:
Given
Let p represents the proportion of those who worry about identity theft;
Required
Mean of those who do not worry about identity theft
First, the proportion of those who do not worry, has to be calculated;
Represent this with q
In probability;
Make q the subject of formula
Substitute
Convert percentage to fraction
Now, the mean can be calculated using:
Where n represents the population
(Approximated)
1.) 376.2
2.) 37620
3.)376200.
3.) 3762000
hope that helped
Answer:
FALSEEEEE Teellll me if its right
Step-by-step explanation:
Answer:
e) The mean of the sampling distribution of sample mean is always the same as that of X, the distribution from which the sample is taken.
Step-by-step explanation:
The central limit theorem states that
"Given a population with a finite mean μ and a finite non-zero variance σ2, the sampling distribution of the mean approaches a normal distribution with a mean of μ and a variance of σ2/N as N, the sample size, increases."
This means that as the sample size increases, the sample mean of the sampling distribution of means approaches the population mean. This does not state that the sample mean will always be the same as the population mean.
The answer is 9.53939201417
