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8 Cards in this Set
- Front
- Back
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statistically significant
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an outcome is statistically significant if it is so large (extreme) that it is unlikely to be due to chance
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for a fized alpha level, increasing sample size will...
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increase power
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the margin of error in a confidence interval covers...
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random sampling variation, not sampling due to poor study design or other biases
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p-value
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the probability of obtaining an outcome (or test statistic) as extreme or more extreme than the one observed if the null hypothesis is true
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define the sampling distribution of a statistic. what is the central limit theorem?
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the distribution of values this statistic takes on in all possible samples of the same size from the given population.
CLT- under appropriate conditions, the sampling distribution of sample proportions or sample means is approximately normal. |
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type I error
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reject null hypothesis when null hypothesis is true
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type II error
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do not reject null hypothesis when alternative hypothesis is true
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power
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the probability that a hypothesis test will correctly reject a false null hypothesis is the power of the test. to find power, we must specify a particular alternative parameter value as the "true" value. For any specific value in the alternative, the power is 1-B.
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