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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Overproduction of uric acid in the body can be an indication of cell breakdown. This may be an advance indication of illness such as gout, leukemia, or lymphoma. Over a period of months, an adult male patient has taken 8 blood tests for uric acid. The mean concentration was x = 5.35 mg/dl. The distribution of uric acid in healthy adult males can be assumed to be normal, with σ = 1.85mg/dl.(a) Find a 95% confidence interval for the population mean concentration of uric acid in this patient's blood. What is the margin of error? (b) What conditions are necessary for your calculations? (c) interpret your results in the context of this problem. (d)Sample size find the sample size necessary for a 95% confidence level maximal margin of error E=1.10 for the mean concentration of uric acid in this patient's blood.
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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