# aser - variability This happens become of the central limit...

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1. The Distribution is right skewed with a center around 7 years 2. The expected distribution of the sample would look the same as the actual population distribution. 3. 11.2, I would guess the sample mean to have the same mean as the population, I think that I would be fairly accurate because the mean remains close to the population mean within a sample. 4. 5.9, I would estimate the population to be based on this sample, I would expect this sample mean to be more accurate than the estimate in question 3, because it has a higher n value. 5.

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This distribution is nearly normal, this sampling distribution does not look like the population distribution. 6. The sampling distribution of mean ages of pennies, becomes more normal with a decrease in
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Unformatted text preview: variability. This happens become of the central limit thereom. 7. The shape of the original population does not change the shape of the bottom sampling distribution very much other than center. Summary Questions This lab is a real life demonstration of the central limit thereom. The data we used was the ages of pennies from a class of students. First we analyzed the distribution of the population, then we analyzed the sample and sampling distributions. We concluded that as you increase the sample size the sampling distribution will become more normal and have less variability. A real world application of this would be if we ever wanted to know where the mean of a population, when we have a sample....
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aser - variability This happens become of the central limit...

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