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The hypothesis stating that the population mean years of age of students in a school is equal to 15 will necessarily be the Alternative hypothesis of the test (the null hypothesis will be that the average is different from 15).

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Non-parametric tests rely on assumptions about the shape of the underlying population distribution and the parameters of the assumed distribution.

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The alternative hypothesis (the opposite of the null hypothesis) can be thought of as meaning no change or no different from the assertion we want to test.

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When we are dealing with samples (not census)

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Efficiency is:

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How does simple random sampling ensure fairness?
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Statistical inference:
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The Law of the Large Numbers says that...

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A 98% confidence interval for the population mean can be interpreted as follows:
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The margin of error in the population mean estimation reflects:

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