University personnel are concerned about the sleeping habits of students and the negative impact on academic performance.  In a random sample of 377 U.S. college students, 209 students reported experiencing excessive daytime sleepiness (EDS).  Is there sufficient evidence to conclude that more than half of U.S. college students experience EDS?  Use a 5% level of significance   a)State the name of the appropriate test procedure you will use (e.g., one-sample t test for means) b)Describe the parameter of interest in the context of the problem.  c)State the null and alternative hypotheses.

As quality control inspector, you have previously believed a claim that 3.2% of items made on your production line are defective. To see if you should still believe this claim: you decide to do a two sided significance test, with a significance level of 2%. You then randomly sample 420 items from the production line, and find that 22 of the items are defective. Which of the following are correct general statements about the conclusion that you find from the significance test? Select all that apply 1. The P-value from your test, is less than or equal to your chosen alpha value. 2. Your sample results are not statistically significant. 3. You reject the null hypothesis in favor of the two sided alternative. 4. Your sample results are statistically significant 5. Based upon the evidence from your significance test, you should no longer believe the null hypothesis claim. 6. Based upon the evidence from your significance test, you have no reason to stop believing the null hypothesis…

Below indicate whether the appropriate test would be an independent t-test, dependent t-test, One-way ANOVA, or z-test. A researcher studying psychological well-being between children from single-parent vs. two-parent families recruits 20 children from two-parent families and 20 children from single-parent families and measures their psychological adjustment.

Consider a drug testing company that provides a test for marijuana usage. Among 349 tested​ subjects, results from 26 subjects were wrong​ (either a false positive or a false​ negative). Use a 0.01 significance level to test the claim that less than 10 percent of the test results are wrong.