Answer:
D. 30
Step-by-step explanation:
Having a population that doesn't follow normal distribution (skewed) can still have sampling distribution that is completely normal. This fact is presented in the Central Limit Theorem.
Central Limit Theorem: states that we can have a normal distribution of sample means even if the original population doesn't follow normal distribution, we just need to take a large sample.
So how much sample size do we need?
There is no straight forward answer to this rather we have to analyse the situation closely!
1. If the population distribution is already normal then a smaller sample size would be enough to ensure normal distribution.
2. If the population distribution is very skewed than a larger number of sample size is needed to ensure normal distribution. The rule of thumb is to take sample size equal to or more than 30 to be on safer side. This is the case in this problem hence option D fits the best.
Answer:
i try my best to find the answer if i can and then i will tell you if i can
Step-by-step explanation:
hmmmmmmmmmm the. answer. is 9/7
Answer:

Step-by-step explanation:
Reorder terms.

Factor out the greatest common factor from each group

Factor the polynomial by factoring out the greatest common factor, 

Factor.

hope this helps :)
Answer:
Self-control
Why:
Most people would feel pressured to respond to an email, you are showing self-control by resisting the urge.