Explanation:
The sample mean is not always equal to the population mean but if we take more and more number of samples from the population then the mean of the sample would become equal to the population mean.
The Central Limit Theorem states that we can have a normal distribution of sample means even if the original population doesn't follow normal distribution, But we have to take a lot of samples.
Suppose a population doesn't follow normal distribution and is very skewed then we can still have sampling distribution that is completely normal if we take a lot of samples.
Answer:
B
Step-by-step explanation:
A is correct because 
was added on both sides, which is supported by the Additive Property of Equality
C is correct because the Quotient Property of Logarithms states that 
so 
is correct
D is correct because using the fact that 
it is easy to figure out that x=12
For B, there is no property supporting that statement.
Answer:
4 1/6
5 x 5 = 25
6 x 1 = 6
Simplify
25/6 = 4 1/6
Answer:
43
Step-by-step explanation:
204-75=129
129/3=43
