Ch4 - Estimating with Uncertainty

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5 Terms

1
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What is the sampling distribution?

The probability distribution of an estimate based on all possible samples of a given size from a population.

2
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Define sampling error (of the mean) and give the formula for true standard error.

standard error = a measure of the statistical accuracy (predicts sampling error) of an estimate.

<p>standard error = a measure of the statistical accuracy (predicts sampling error) of an estimate.</p><p></p>
3
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Give the formula for the estimate of the standard error of the mean

This gives use the difference between our sample mean and the true population mean.

<p>This gives use the difference between our sample mean and the true population mean.</p>
4
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What does the confidence interval (CI) tell us?

The CI tells use that values that fall within the interval are plausible (by a specified probability) in terms of being a parameter.

→ 95% CI for the mean = “Y-bar” ± 2SE (max/min of CI)

→ when talking about CIs make sure you don’t suggest the parameter is changing.

5
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What is pseudoreplication?

It is an error that appears when samples are not independent, but they are treated as though they are (samples to same seal twice).

→ to acknowledge that there’s been repeated sampling you have to find the mean so you end up with one measurement for each sample.