Suppose a sample of O-rings was obtained and the wall thickness (in inches) of each was recorded. Use a normal probability plot to assess whether the sample data could have come from apopulation that is normally distributed.0.156 0.187 0.196 0.209 p0.218 0.223 0.234 0.2420.253 0.259 0.264 0.2860.295 0.293 0.307 0.337Click here to view the table of critical values.Click here to view page 1 of the standard normal distribution table.Click here to view page 2 of the standard normal distribution table,Using the correlation coefficient of the normal probability plot, is it reasonable to conclude that the population is normally distributed? Select the correct choice below and fill in the answer boxes within your choice.(Round to three decimal places as needed.)O A. No. The correlation between the expected z-scores and the observed data,does not exceed the critical value.Therefore, it is reasonable to conclude that the data come from a normal population.O B. Yes. The correlation between the expected z-scores and the observed data,exceeds the critical value,Therefore, it is reasonable to conclude that the data come from a normal population.O C. Yes. The correlation between the expected z-scores and the observed data,exceeds the critical value,Therefore, it is not reasonable to conclude that the data come from a normal population.O D. No. The correlation between the expected z-scores and the observed data,does not exceed the critical value.Therefore, it is not reasonable to conclude that the data come from a normal population.

Correlation coefficient r =0.9966 Critical value = 0.468

re to view the table of critical values. re to view page 1 of the standard normal distribution table. re to view page 2 of the standard normal distribution table e correlation coefficient of the normal probability plot, is it reasonable to conclude that the population is normally distributed? Select the correct choice below and fill in the answer boxes within your choice. to three decimal places as needed.) No. The correlation between the expected z-scores and the observed data, does not exceed the critical value, Therefore, it is reasonable to conclude that the data come from a normal population. Yes. The correlation between the expected z-scores and the observed data,, exceeds the critical value, Therefore, it is reasonable to conclude that the data come from a normal population. Yes. The correlation between the expected z-scores and the observed data, exceeds the critical value,. Therefore, it is not reasonable to conclude that the data come from a normal population. No. The correlation between the expected z-scores and the observed data, , does not exceed the critical value, Therefore, it is not reasonable to conclude that the data come from a normal populati

re to view the table of critical values. re to view page 1 of the standard normal distribution table. re to view page 2 of the standard normal distribution table e correlation coefficient of the normal probability plot, is it reasonable to conclude that the population is normally distributed? Select the correct choice below and fill in the answer boxes within your choice. to three decimal places as needed.) No. The correlation between the expected z-scores and the observed data, does not exceed the critical value, Therefore, it is reasonable to conclude that the data come from a normal population. Yes. The correlation between the expected z-scores and the observed data,, exceeds the critical value, Therefore, it is reasonable to conclude that the data come from a normal population. Yes. The correlation between the expected z-scores and the observed data, exceeds the critical value,. Therefore, it is not reasonable to conclude that the data come from a normal population. No. The correlation between the expected z-scores and the observed data, , does not exceed the critical value, Therefore, it is not reasonable to conclude that the data come from a normal populati

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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