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:
ineedpointssorrry
Step-by-step explanation:
Answer: (x3.19+y1.20 + z1.20) x 1.06
Step-by-step explanation:
Hi, to answer this question we have to write an expression.
Four-packs of permanent markers in assorted colors for $3.19 per pack.
3.19 x (x number of packs purchased)
spiral-bound notebooks, whether wide-ruled or college-ruled, sell for $1.20 each
1.20 y + 1.20 z (y wide-ruled notebooks, and z college-ruled notebooks)
The store charges a 6% sales tax on Cleo’s total bill, so we have to multiply the expression by 1+ 0.06 ( 1+ tax percentage in decimal form)
(x3.19+y1.20 + z1.20) x 1.06
I think it’s 82 because 78+4=82
Answer:
ima guess $262.50
Step-by-step explanation:
