Ch.9 Testing a Claim

2. of error difference between the point estimate and the true parameter value will be less in all samples
5. estimate the value of that statistic from a sample
7. hypothesis the claim about the population that we are trying to find evidence for
9. error when the standard deviation of a statistic is estimated from data
12. value a multiplier that makes the interval wide enough to have the stated capture rate
13. hypothesis the claim we weigh evidence against in a statistical test
15. A test against a specific alternative is the probability that the test will reject the null at a chosen significance level when the specified alternative value of the parameter is true
16. 1 error If we reject the null when the null is true

1. alternative hypothesis states that a parameter is larger than the null value of if it states the parameter is smaller than the null value.
3. of freedom subtracting 1 from the sample size n
4. significant if the p-value is smaller than alpha the results are.....
6. interval gives an interval of plausible values for a parameter
8. The probability that the statistic would take a value as extreme as or more extreme than the one actually observed assuming the null is true
10. data study designs that involve making two observations on the same individual, or more observations on each of the two similar individuals
11. sample z interval for a population proportion when the conditions are met, a C% confidence interval for the unknown proportion
14. Statistic measures how far a sample statistic diverges from what we would expect if null is true