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.
A polygon with 4 sets of parallel lines would be an octagon.
Answer:
Step-by-step explanation:
This is not a linear relationship, it doesn't have a set increase or uniform slope and it seems more like an exponential or quadratic curve to me when I graph it. As you can see you cant draw a straight line through the data points so it cannot be a linear relationship.
4,000×0.035×2=280
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