Lecture 6 Flashcards Preview

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Flashcards in Lecture 6 Deck (4)
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1
Q

Sampling distribution of an estimate

A

The probability distribution of all the values for an estimate that WE MIGHT have obtained when we sampled the population.

2
Q

Sampling error

A

the difference between the sample and population values. The estimate of this error is the standard deviation of the sampling distribution, i.e., the average difference between all sample means and the true mean:

3
Q

2SE rule of thumb -

A

a rough approximation to the 95% confidence interval for a mean can be calculated as the sample mean plus and minus two standard errors!

4
Q

t distribution

A

a sampling distribution of the the number of sample standard errors away from the sample mean (always 0 in the t distribution; more or that soon) necessary to produce a confidence interval of the desired coverage (e.g., 95%).