3. In a test of significance, the hypotheses are stated in terms of parameters.

Question

3. In a test of significance, the hypotheses are stated in terms of parameters. statistics. statistics or parameters. 4. A small P-value for a test of significance is evidence against the alternative hypothesis. evidence for the null hypothesis. evidence against the null hypothesis. Many times the results of a statistical test will be reported as "P < 5%." If your favorite level is 1% (remember, the researcher gets to set ), would you say the test results were significant? You would say the results were significant. You would say the results were not significant. You couldn't tell without more information. 3. In a test of significance, the hypotheses are stated in terms of parameters. statistics. statistics or parameters.

Explanation / Answer

3> parameters

parameters are numbers that summarize data for an entire population. Parameters are used in general in significance test.

4> evidence against the null hypothesis.

If p is very small, we reject the null hypothesis.

5> You couldn't tell without more information.

With lesser value of alpha, the test becomes stronger, thus no conclusion can be drawn.

Related Questions

Navigate

• Browse (All)
• Browse 3
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.