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If two sets of numbers have the same mean, which of the following must always be true: A) The two sets must have the same variance B) The two sets of numbers must have the same standard deviation. C) The two sets of numbers must be identical. D) None of these statements must be true

User Archonic
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Answer: Choice D

None of these statements must be true

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Step-by-step explanation:

Let's go through the answer choices one at a time.

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A)

Consider the set {4,5,6}. It has a mean of (4+5+6)/3 = 15/3 = 5. We add up the values and then divide by the number of values (3 in this case).

Now consider the set {3,5,7}. I've added 1 to the largest element and subtracted 1 from the smallest. This will spread the data set out further. The mean is still 5 because (3+5+7)/3 = 15/3 = 5. The center hasn't changed. But the data is more spread out so the variance is larger for this new set.

Therefore, the sets {4,5,6} and {3,5,7} do NOT have the same variance. We cross choice A off the list.

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B)

Recall that


\text{standard deviation} = \sqrt{\text{variance}

For example, if the variance is 36 then the standard deviation would be
√(36) = 6

Because of the connection of the standard deviation and variance, both measure how spread out a set is. Furthermore, it means the sets {4,5,6} and {3,5,7} do NOT have the same standard deviation. We can cross choice B off the list.

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C)

This statement is clearly not true because the sets {4,5,6} and {3,5,7} are not the same, but they produce the same mean. We can cross choice C off the list.

Choice D is the only thing left so it must be the final answer.

User Andrei Avram
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