Match each of the definitions below with the term it describes.

1.	Concluding a hypothesis test by failing to reject the null hypothesis when it is actually false.
2.	If we repeat a study many times, this quantity describes how much we would expect a sample statistic to vary between samples.
3.	A range of plausible values for a population parameter, based on a sample.
4.	If the null hypothesis were true, how unlikely a result would need to be for us to reject that null hypothesis.
5.	The difference between a sample statistic and a hypothesized population parameter, relative to how much we would expect sample statistics to vary.
6.	If we repeat a study many times, this is the proportion of times we would obtain a result at least as extreme as the one we observed.
7.	Concluding a hypothesis test by rejecting the null hypothesis when it is actually true.

a.	Significance level
b.	Type I error
c.	Confidence interval
d.	Type II error
e.	Standard error
f.	Z score
g.	p value