ap stats -- unit 5

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10 Terms

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sampling distribution

shows the statistic found for all possible samples of size n

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sampling variability

increase n, decrease variability

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categorical data gives

proportions (p hat)

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quantitative data gives

sample means (x bar)

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proportions

p^

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proportion conditions

randomization

independence

10% condition

~Normal

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Large Enough Condition

if we can expect at least 10 successes and failures then the sampling distribution of p^ is ~Normal

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Central Limit Theorem (CLT)

in a skewed population, increasing the n makes the distribution closer to ~Normal

n≥30 is sufficient to apply CLT

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conditions for sample means (x bar)

~Normal - population distribution is ~N or n≥30 and CLT applies

randomization

independence (10% condition)