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(SAR) absorbed by the user's body when using the handset. Every cell phone emits RF energy. Different phone models have different SAR measures. To receive certification from the Federal Communications Commission (FCC) for sale in the United States, the SAR level for a cell phone must be no more than 1 watts per kilogram. A sample of 23 models was tested and the average of their Specific Absorption Rates (SARS) was found to be 1.23 watts per kilogram. Assume that the population standard deviation is 0.25 watts per kilogram. Construct a 96% confidence interval for the average of the SARS for cell phones that received certification from FCC. You may also assume that the sample is from a normal population. i. Procedure: [One mean Z procedure ii. Assumptions: (select everything that applies) The number of positive and negative responses are both greater than 10 ✔Normal population ✔Population standard deviation is known Sample size is greater than 30 ✔Simple random sample Population standard deviation is unknown iii. Unknown parameter: [u, population mean iv. Point estimate: Select an answer places) Select an answer sample variance, s² sample proportion, p sample mean, X and a v. Confidence level also O and 1 2 • Critical values: (Round the answer to 2 decimal places) ▪ left- right- Part 2 of 5 watts per kilogram (Round the answer to 2 decimal

(SAR) absorbed by the user's body when using the handset. Every cell phone emits RF energy. Different phone models have different SAR measures. To receive certification from the Federal Communications Commission (FCC) for sale in the United States, the SAR level for a cell phone must be no more than 1 watts per kilogram. A sample of 23 models was tested and the average of their Specific Absorption Rates (SARS) was found to be 1.23 watts per kilogram. Assume that the population standard deviation is 0.25 watts per kilogram. Construct a 96% confidence interval for the average of the SARS for cell phones that received certification from FCC. You may also assume that the sample is from a normal population. i. Procedure: [One mean Z procedure ii. Assumptions: (select everything that applies) The number of positive and negative responses are both greater than 10 ✔Normal population ✔Population standard deviation is known Sample size is greater than 30 ✔Simple random sample Population standard deviation is unknown iii. Unknown parameter: [u, population mean iv. Point estimate: Select an answer places) Select an answer sample variance, s² sample proportion, p sample mean, X and a v. Confidence level also O and 1 2 • Critical values: (Round the answer to 2 decimal places) ▪ left- right- Part 2 of 5 watts per kilogram (Round the answer to 2 decimal

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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Question 10 The Specific Absorption Rate (SAR) for a cell phone measures the amount of radio frequency (RF) energy absorbed by the user's body when using the handset. Every cell phone emits RF energy. Different phone models have different SAR measures. To receive certification from the Federal Communications Commission (FCC) for sale in the United States, the SAR level for a cell phone must be no more than 1 watts per kilogram. A sample of 23 models was tested and the average of their Specific Absorption Rates (SARS) was found to be 1.23 watts per kilogram. Assume that the population standard deviation is 0.25 watts per kilogram. Construct a 96% confidence interval for the average of the SARS for cell phones that received certification from FCC. You may also assume that the sample is from a normal population. i. Procedure: One mean Z procedure ii. Assumptions: (select everything that applies) The number of positive and negative responses are both greater than 10 Normal population ✔Population standard deviation is known Sample size is greater than 30 ✔Simple random sample Population standard deviation is unknown iii. Unknown parameter: [u, population mean iv. Point estimate: Select an answer places) Select an answer sample variance, s² sample proportion, p sample mean, X v. Confidence level O % and a = α also Part 2 of 5 watts per kilogram (Round the answer to 2 decimal α and 1 2 Critical values: (Round the answer to 2 decimal places) ▪ left= right=
Transcribed Image Text:Question 10 The Specific Absorption Rate (SAR) for a cell phone measures the amount of radio frequency (RF) energy absorbed by the user's body when using the handset. Every cell phone emits RF energy. Different phone models have different SAR measures. To receive certification from the Federal Communications Commission (FCC) for sale in the United States, the SAR level for a cell phone must be no more than 1 watts per kilogram. A sample of 23 models was tested and the average of their Specific Absorption Rates (SARS) was found to be 1.23 watts per kilogram. Assume that the population standard deviation is 0.25 watts per kilogram. Construct a 96% confidence interval for the average of the SARS for cell phones that received certification from FCC. You may also assume that the sample is from a normal population. i. Procedure: One mean Z procedure ii. Assumptions: (select everything that applies) The number of positive and negative responses are both greater than 10 Normal population ✔Population standard deviation is known Sample size is greater than 30 ✔Simple random sample Population standard deviation is unknown iii. Unknown parameter: [u, population mean iv. Point estimate: Select an answer places) Select an answer sample variance, s² sample proportion, p sample mean, X v. Confidence level O % and a = α also Part 2 of 5 watts per kilogram (Round the answer to 2 decimal α and 1 2 Critical values: (Round the answer to 2 decimal places) ▪ left= right=
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