Chapter 8 & 9 Vocabulary

3. the data come from a well designed random sample or randomized experiment
5. statement of "no difference"
7. helps you determine the significance of your results
8. be sure to check this condition before calculating a confidence interval;
9. value of statistic from a sample
10. is incorrectly retaining a false null hypothesis ("a false negative")
14. the condition that is crucial for doing reference
17. gives overall success rate of a method for calculating the confidence interval
18. the probability that the test will reject Ho at a chosen significance level when the specified alternative value of the parameter is true
19. is the incorrect rejection of a true null hypothesis ("a false positive")
20. the claim about the population that we are trying to find evidence for

1. is a point on the test distribution that is compared to the test statistic to determine whether to reject the null hypothesis
2. measure how far a sample statistic diverges from what we would expect if the null hypothesis were true
4. if it states that the parameter is different from the null hypothesis value
6. if the p-value is smaller than alpha
11. if it states that a parameters larger than the null hypothesis value
12. gives interval of plausible values for a parameter
13. an amount that is allowed for in case of miscalculation or change of circumstances
15. statistic that provides estimate of the population
16. result of the standard deviation of a statistic is estimated from the data