Stats

3. alternative hypothesis
5. The claim about the population that we are trying to find evidence for
9. If we fail to reject H0 when Ha is true
12. gives the overall success rate of the method for calculating the confidence interval
13. The probability, computed assuming H0 is true, that the statistic (such as or ) would take a value as extreme as or more extreme than the one actually observed, in the direction specified by Ha
14. When the standard deviation of a statistic is estimated from data
15. is a multiplier that makes the interval wide enough to have the stated capture rate
17. if the p-value is less than the alpha
18. The difference between the point estimate and the true parameter value will be less than the
19. an interval of plausible values for an unknown parameter value.
20. a formal procedure for using observed data to decide between two competing claims

1. standard error of the mean
2. if the p-value is greater than the alpha
4. statistic + (critical value)x(standard deviation)
6. we reject H0 when H0 is true
7. null hypothesis
8. is a statistic that provides an estimate of a population parameter.
10. The value of that statistic from a sample
11. The claim we weigh evidence against in a statistical test
16. the standard Normal curve: still symmetric with a single peak at 0, but with much more area in the tails.