Across
- 4. Gives the overall success rate of the method for calculating the confidence interval.
- 5. When we reject H0 when H0 is true.
- 6. The population is at least ten times as large as the sample.
- 8. When we fail to reject H0 when Ha is true.
- 10. Measures how far a sample statistic diverges from what we would expect if the null hypothesis H0 were true, in standardized units.
- 11. A statistic that provides an estimate of a population parameter.
- 13. The way we specify a certain t-distribution.
- 14. The claim about the population that we are trying to find evidence for.
- 19. The population is normal or the sample size is greater than or equal to thirty.
Down
- 1. The claim we weight evidence against in a statistical test.
- 2. The probability, computed supposing H0 to be true, that the statistic will take a value as extreme as or more extreme than the one actually observed
- 3. The probability that the test against a specific alternative will reject H0 at a chosen significance level alpha when the specified alternative value of the parameter is true.
- 4. Gives an interval of plausible values for a parameter.
- 7. Assesses the evidence provided by data against a null hypothesis and in favor of an alternative hypothesis.
- 9. The data were produced by a well-designed random sample.
- 12. States that a parameter is larger than the null hypothesis value or smaller than the null value.
- 15. States that the parameter is different from the null hypothesis value.
- 16. The value of the point estimator from a sample.
- 17. Unimodal, symmetric, centered at 0, and approaches the standard Normal distribution as the number of degrees of freedom increases.
- 18. The result of the estimation from data of the standard deviation of a statistic.