(b) Calculate the z-score for the largest value and interpret it in terms of standard deviations. Do the same for the smallest value.Round your answers to two decimal places.The largest value:Z-Score =The maximum of 39.5% obese isistandard deviationsv the mean.The smallest value:Z-Score =The minimum of 23.0% obese isstandard deviationsthe mean. Percent Obese by StateComputer output giving descriptive statistics for the percent of the population that is obese for each of the 50 US states, from theUSStates dataset, is given in the table shown below. Since all 50 US states are included, this is a population, not a sample.VariableMean StDev MinimumQ1MedianQ3МaximumObese5031.433.8223.028.630.934.439.5Click here for the dataset associated with this question.

(b) Calculate the z-score for the largest value and interpret it in terms of standard deviations. Do the same for the smallest value. Round your answers to two decimal places. The largest value: Z-Score = The maximum of 39.5% obese is i standard deviations v the mean. The smallest value: Z-Score = i The minimum of 23.0% obese is i standard deviations the mean.

(b) Calculate the z-score for the largest value and interpret it in terms of standard deviations. Do the same for the smallest value. Round your answers to two decimal places. The largest value: Z-Score = The maximum of 39.5% obese is i standard deviations v the mean. The smallest value: Z-Score = i The minimum of 23.0% obese is i standard deviations the mean.

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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The amount of caffeine in a sample of five-ounce servings of brewed coffee is shown in the histogram. Make a frequency distribution for the data. Then use the table to estimate the sample mean and the sample standard deviation of the data set. Click the icon to view the histogram. Complete the table. Round values to the nearest tenth as needed. Graph/chart f Midpoint x xf 70.5 Ay 30- 92.5 26 25- 114.5 136.5 20- 158.5 15- 12 Ef = Exf = 10- Find the mean of the data set. 5- X = (Round to the nearest tenth as needed.) 48.5 70.5 92.5 114.5 136.5 158.5 Complete the table. Round values to the nearest tenth as needed. Midpoint x (x-x)? (x-x)?f X-X 70.5 Print Done 92.5 114.5 136.5 158.5 (x-x)?r= ] of
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The amount of caffeine in a sample of five-ounce servings of brewed coffee is shown in the histogram. Make a frequency distribution for the data. Then use the table to estimate the sample mean and the sample standard deviation of the data set. W Click the icon to view the histogram. .. Complete the table. Round values to the nearest tenth as needed. Graph/chart f Midpoint x xf 70.5 Ay 30- 25- 24 20- |14 15- 10- 17 5- X 48.5 70.5 92.5 114.5 136.5 158.5
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Find and interpret the z-score for the data value given. The value 254 in a dataset with mean 186 and standard deviation 25 Round your answer to two decimal places. The value is i standard deviations the mean.
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Use the data in the following table, which lists carbon dioxide concentrations (in parts per million) for each year from 1960 to 2009, with projected values used for the last four years. After finding the values of the mean and range for each decade, find the values of x, and R. Also find the values of LCL and UCL for an R chart, and find the values of LCL and UCL for an x chart. 1960s 318.4 319.5 321.8 322.9 324.8 325.4 326.9 328.5 330.3 331.4 1970s 333.4 334.6 335.5 337.1 339.3 340.4 341.4 343.1 344.7 346.5 1980s 348.1 348.8 351.2 352.1 353.8 355.4 356.9 358.5 359.8 360.6 1990s 361.9 363.6 365.8 366.7 368.6 369.2 371.7 372.4 373.5 375.2 2000s 377.6 378.7 379.6 381.8 382.8 384.2 386.3 387.6 388.7 390.5 x=enter your response here (Round to three decimal places as needed.) Part 2 R=enter your response here (Round to two decimal places as needed.) Compute the values of LCL and UCL for an R chart. LCL=enter your response here, UCL=enter your response here (Round to…