Question

For each of n=100 persons that live in Riverside, CA next to I-91, the number of self reported-health problems was reported in a week before and after installation of a noise barrier. Let (d_bar )=5.3 and s_d=10 then Z=5.3 and p-value

	p-value > alpha, and there is no significant reduction of health-related problems after installation of the noise barrier, at 5% significance.
	p-value < alpha, and there is significant reduction of health-related problems after installation of the noise barrier, at 5% significance.
	p-value cannot be computed
	p-value > 0, and there is significant reduction of health-related problems after installation of the noise barrier, at 5% significance.

For each of n=100 persons that live in Riverside, CA next to I-91, the number of self reported-health problems was reported in a week before and after installation of a noise barrier. Let (d_bar )=5.3 and s_d=10 then

	Z=(5.3)/(10/10)=5.3>z_(.05)=1.645 and there is statistical significant reduction of health-related problems after installation of the noise barrier, at 5% significance.
	Z=(5.3)/(10/10)=5.3>-z_(.025)=1.645 and there is statistical significant reduction of health-related problems after installation of the noise barrier, at 5% significance.
	Z=(5.3)/(10/10)=5.3>z_(.025)=1.96 and there is statistical significant reduction of health-related problems after installation of the noise barrier, at 5% significance.
	Z=5.3/(100/10)=.53<z_.05=1.645 and there is no statistical significant reduction of health-related problems after installation of the noise barrier, at 5% significance.

A local health organization wants to test the improvement in noise-related health problems after the installation of a noise barrier in Riverside, CA.Let μ_d be the mean reduction in the self reported-health problems before and after the installation of the noise barrier, where μ_d>0 implies a reduction in health problems after installation of the noise barrier. Which hypotheses are appropriate?

	H_0: μ_d=0 and H_A: μ_d>0
	H_0: μ_d=0 and H_A: μ_d≠0
	H_0: μ_d=0 and H_A: μ_d<0
	H_0: d=0 and H_A: d>0

A local health organization wants to test the improvement in noise-related health problems after the installation of a noise barrier in Riverside, CA. For each of n=100 people that live in Riverside, CA, next to I-91, the number of self reported-health problems has been recorded in a week before and after installation of a noise barrier. Which test should be used to answer the question?

	One-sample test for population mean
	Two-independent samples test for difference in means (with equal variances)
	Two-independent samples test for difference in means (with unequal variances)
	Paired test for mean difference

Answer 1