Question

STAT 2480 Chapter 9: Significance Tests About Hypotheses Across 1. In a significance test, the null hypothesis is presumed to unless the data give strong evidence against it. Down 2. The hypothesis is usually a statement of no treatment effect the null hypothesis 3. A Type 1 Error is when we when it is true. 4. When the null hypothesis is rejected because the P- value is less than or equal to 0.05, we say the results are significant 5. When comparing a significance test to a court of law, the null hypothesis is when a defendant is 8. When comparing a significance test to a court of law, the alternative hypothesis is when a defendant is 6. When we Do Not Reject the null hypothesis, it DOES NOT mean that we the null hypothesis. power. 10. Increasing the significance level 7. A is a statement about a population, usually claiming that a parameter takes a particular numerical value or falls in a certain range of values. 11. Because of sampling error, there is a range of plausible _ of the population parameter besides the one contained in the null hypothesis. considerations require that we plan experiments to achieve 80% power for interesting alternatives, 14. A significance test considers the likelihood of the _under the null hypothesis. to reject the null 12. A 15. A Type II Error is when we hypothesis when it is false. statistic describes how far a point estimate falls from the parameter value given in the null hypothesis. 13. We reject the null hypothesis if the P-value is less than or equal to the significance

i need 9 though 15 please and thank you

Answer 1

9.) Answer - Power Analysis

10.) Answer - Sample Statistic

11.) Answer - Significance Level