Vocab Chapters 8 & 9

2. what is needed for a confidence interval.
6. The claim about the population that we are trying to find evidence for.
7. the difference in the point estimate an the true parameter.
12. give the overall success rate of the method for calculating the confidence interval.
13. The claim we weigh evidence against in a statistical test.
14. The probability that measures the strength of the evidence against H0 and in favor of Ha.
16. assesses the evidence provided by data against a null hypothesis.
17. is a multiplier that makes the interval wide enough to have the stated capture rate.
19. How large a difference between the null parameter value and the actual parameter value is important for us to detect.
20. The first condition for a problem

1. There s what distribution for every positive degrees of freedom.
3. When our P-value is less than the chosen α in a significance test.
4. If we reject H0 when H0 is true.
5. measures how far a sample statistic diverges from what we would expect if the null hypothesis H0 were true, in standardized units.
8. What we use to estimate parameter.
9. when the standard deviation of a statistic is estimated from the data.
10. Estimate The best guess for the value of a population parameter.
11. If we fail to reject H0 when Ha is true.
15. is a statistic that provides an estimate of a population parameter.
18. test against a specific alternative is the probability that the test will reject H0 at a chosen significance level a when the specified alternative value of the parameter is true.