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Suppose a sample of O-rings was obtained and the wall thickness (In Theres) of each was could have come from a population that is normally distributed. Click here to view the table of critical values for normal probability plots. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table OB. No. The correlation between the expected z-scores and the observed data, normal population HE 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.) OA. Yes. The correlation between the expected z-scores and the observed data, population OC. Yes. The correlation between the expected z-scores and the observed data, population. OD. No. The correlation between the expected z-scores and the observed data, 0.214 0210 0.235 0.23: 0.257 0268 0 289 0.292 0.301 0.300 0 317 0.320 exceeds the critical value, Therefore, it is reasonable to conclude that the data come from a normal does not exceed the critical value, Therefore, it is not reasonable to conclude that the data come from a exceeds the critical value Therefore, it is not reasonable to conclude that the data come from a normal does not exceed the critical value, Therefore, it is reasonable to conclude that the data come from a normal

Suppose a sample of O-rings was obtained and the wall thickness (In Theres) of each was could have come from a population that is normally distributed. Click here to view the table of critical values for normal probability plots. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table OB. No. The correlation between the expected z-scores and the observed data, normal population HE 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.) OA. Yes. The correlation between the expected z-scores and the observed data, population OC. Yes. The correlation between the expected z-scores and the observed data, population. OD. No. The correlation between the expected z-scores and the observed data, 0.214 0210 0.235 0.23: 0.257 0268 0 289 0.292 0.301 0.300 0 317 0.320 exceeds the critical value, Therefore, it is reasonable to conclude that the data come from a normal does not exceed the critical value, Therefore, it is not reasonable to conclude that the data come from a exceeds the critical value Therefore, it is not reasonable to conclude that the data come from a normal does not exceed the critical value, Therefore, it is reasonable to conclude that the data come from a normal

MATLAB: An Introduction with Applications
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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FRANT 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 a population that is normally distributed. Click here to view the table of critical values for normal probability plots. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. OA. Yes. The correlation between the expected z-scores and the observed data, population. 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.) OB. No. The correlation between the expected z-scores and the observed data, normal population. OC. Yes. The correlation between the expected z-scores and the observed data, population. D. No. The correlation between the expected z-scores and the observed data, population. 804 1 0.187 0.188 0.202 0 197 - 0.214 0.210 0.235 0.235 0.257 0.268 0.289 0.292 0.301 0.300 0.317 0.320 exceeds the critical value, Therefore, it is reasonable to conclude that the data come from a normal does not exceed the critical value, Therefore, it is not reasonable to conclude that the data come from a exceeds the critical value Therefore, it is not reasonable to conclude that the data come from a normal does not exceed the critical value, Therefore, it is reasonable to conclude that the data come from a normal
Transcribed Image Text:FRANT 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 a population that is normally distributed. Click here to view the table of critical values for normal probability plots. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. OA. Yes. The correlation between the expected z-scores and the observed data, population. 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.) OB. No. The correlation between the expected z-scores and the observed data, normal population. OC. Yes. The correlation between the expected z-scores and the observed data, population. D. No. The correlation between the expected z-scores and the observed data, population. 804 1 0.187 0.188 0.202 0 197 - 0.214 0.210 0.235 0.235 0.257 0.268 0.289 0.292 0.301 0.300 0.317 0.320 exceeds the critical value, Therefore, it is reasonable to conclude that the data come from a normal does not exceed the critical value, Therefore, it is not reasonable to conclude that the data come from a exceeds the critical value Therefore, it is not reasonable to conclude that the data come from a normal does not exceed the critical value, Therefore, it is reasonable to conclude that the data come from a normal
ef p ati tio on ati atio Critical Values for Normal Probability Plots Sample Size, n Critical Value 5 0.880 6 0 888 0.898 7 0.906 0.912 0.918 0.923 ∞H2345 8 10 11 12 13 14 15 0.928 0.932 0.935 0.939 Print Sample Size, n Critical Value 16 0.941 17 0.944 18 0.946 19 0.949 20 0.951 21 0.952 0.954 0.956 0.957 0.959 0:960 22 2228 23 24 25 30 Done X e
Transcribed Image Text:ef p ati tio on ati atio Critical Values for Normal Probability Plots Sample Size, n Critical Value 5 0.880 6 0 888 0.898 7 0.906 0.912 0.918 0.923 ∞H2345 8 10 11 12 13 14 15 0.928 0.932 0.935 0.939 Print Sample Size, n Critical Value 16 0.941 17 0.944 18 0.946 19 0.949 20 0.951 21 0.952 0.954 0.956 0.957 0.959 0:960 22 2228 23 24 25 30 Done X e
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