An air quality instrument logs 0 when standards are not met and 1 when standards are met. First, compute the proportion meeting standards as the mean of Air Quality valus. Second, at alpha = 0.10 (sensitive, exploratory), test the hypothesis that proportion of times that air quality meets standards is at least 90%. TimeAir Quality 0:00:001 0:00:301 0:01:001 0:01:301 0:02:001 0:02:301 0:03:001 0:03:301 0:04:001 0:04:301 0:05:001 0:05:301 0:06:001 0:06:301 0:07:001 0:07:301 0:08:001 0:08:301 0:09:001 0:09:301 0:10:001 0:10:301 0:11:001 0:11:301 0:12:001 0:12:301 0:13:001 0:13:301 0:14:001 0:14:301 0:15:001 0:15:301 0:16:001 0:16:300 0:17:001 0:17:301 0:18:001 0:18:301 0:19:001 0:19:301 0:20:001 0:20:301 0:21:001 0:21:301 0:22:001 0:22:301 0:23:001 0:23:301

When testing the hypothesis for population proportion, a binomial assumption is made. And if the…

Answered: An air quality instrument logs 0 when…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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An air quality instrument logs 0 when standards are not met and 1 when standards are met. First, compute the proportion meeting standards as the mean of Air Quality valus. Second, at alpha = 0.10 (sensitive, exploratory), test the hypothesis that proportion of times that air quality meets standards is at least 90%.
	Time	Air Quality
	0:00:00	1
	0:00:30	1
	0:01:00	1
	0:01:30	1
	0:02:00	1
	0:02:30	1
	0:03:00	1
	0:03:30	1
	0:04:00	1
	0:04:30	1
	0:05:00	1
	0:05:30	1
	0:06:00	1
	0:06:30	1
	0:07:00	1
	0:07:30	1
	0:08:00	1
	0:08:30	1
	0:09:00	1
	0:09:30	1
	0:10:00	1
	0:10:30	1
	0:11:00	1
	0:11:30	1
	0:12:00	1
	0:12:30	1
	0:13:00	1
	0:13:30	1
	0:14:00	1
	0:14:30	1
	0:15:00	1
	0:15:30	1
	0:16:00	1
	0:16:30	0
	0:17:00	1
	0:17:30	1
	0:18:00	1
	0:18:30	1
	0:19:00	1
	0:19:30	1
	0:20:00	1
	0:20:30	1
	0:21:00	1
	0:21:30	1
	0:22:00	1
	0:22:30	1
	0:23:00	1
	0:23:30	1