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.
A. 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.
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.
C. 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.
D. 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.
Data:
0.156
0.225
0.257
0.284
0.183
0.232
0.259
0.301
0.195
0.236
0.266
0.319
0.207
0.253
0.283
0.343
B. Yes. The correlation between the expected z-scores and the observed data, 0.997, exceeds the critical value,0.941. Therefore, it is reasonable to conclude that the data come from a normal population.
Suppose a sample of O-rings was obtained and the wall thickness (in inches) of each was...
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. 0.1580.158 0.1890.189 0.1950.195 0.2080.208 0.2290.229 0.2290.229 0.2420.242 0.2470.247 0.2600.260 0.2550.255 0.2770.277 0.2810.281 0.2890.289 0.3060.306 0.3080.308 0.3410.341 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...
Suppose a sample of O-rings was obtained and the wall thickness (in inches) of each was recorded. Use a normal assess whether the sample data could have come from a population that is normally distributed.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.)A. Yes. The correlation between the...
7.3.7 Assigned MediaEQuestion Help 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 0.155 0.192 0.199 0.217 0.226 0.235 0.240 0.245 0.259 0.256 0.275 0.280 0.290 0.304 0.315 0.332 a population that is normally distributed Click here to view pag Click here to view pa ormal distribution table ormal distribution table Using the correlation coefficient of the...
core: 0 of 1 pl 3.7 0.167 0.179 0.204 0.213 B Suppose a sample of O-rings was obtained and the wall thickness (in inches) of each was recorded. Use a normal probability plot to 0221 0.231 0.232 0.252 assess whether the sample data could have come from a population that is normally distributed 0.248 0.261 0.277 0.283 0.294 0.294 0.315 0.333 Click here to view the table of critical values. Click here to view page 1 of the standard normal...
also if you know how to do it through excel, can you please include steps? thank you ! Suppose a sample of O-rings was obtained and the wall thickness (in inches) of each was recorded Use a normal probability plot to 0.165 0.191 0.194 0 2195 assess whether the sample data could have come from a population that is normally distributed 0.216 0236 0.233 0.240 0.248 0 261 0 272 0.283 0.282 0.308 0.310 0334 Click here to view the...
Homework: Module 6 Test (Start: 4/15/2019) Score: 0 of 2 pts 7.3.9 Save HW Score: 29%, 29 of 100 pts 47 of 50 (17 complete) Question Help A random sample of 16 undergraduate students receiving student loans was obtained, and the amounts of their loans for the school year were recorded. Use a normal probability plot to assess whether the sample data could have come from a population that is normally distributed 5,800 2,000 6,200 1,500 6.800 8,400 5,100 3.000...
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. Help me solve this, please! 0.158 0.11 .184 0.207 0.224 0.237 0.248 0.249 0,2 D.263 0271 0275 0.295 0.301 0.321 0.337 Click here lo viw the talble af aritical valU Click here to view page 1 of tne slandard rormal distrbuion table...
5,800 2,000 6,200 1,500 6,800 8,400 5,100 3,000 1.800 7,500 3,300 2,500 1.900 5,600 4,500 7,200 A random sample of 16 undergraduate students receiving student loans was obtained, and the amounts of their loans for the school year were 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. Click here to view page 1 of the standard normal...
A random sample of 16 undergraduate students receiving student loans was obtained, and the amounts of their loans for the school year were recorded. Use a normal probability plot to assess whether the sample data could have come from a population that is normally distributed. 5,800 2.000 6,200 1,500 6,800 8,400 5,100 3,000 1,800 7,500 3,300 2,500 1,900 5,600 4,500 7,200 Click here to view the table of critical values Click here to view page 1 of the standard normal...
A random sample of university students was obtained, and the number of tweets in a typical month w as recorded Index,i Number of tweets 19 30 6 a. Compute f(i-0.375) (n+0.25) b. Find the z-score corresponding to fi from Table V c. Plot the observed values on the horizontal axis and the corresponding expected z-score on the vertical axis Using Excel (data-> data analysis->regression) to obtain the linear correlation coefficient between observed values and expected z-score d. e. Determine the...