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Listed below are body temperatures from five different subjects measured at 8 AM and again at 12 AM. Find the values of d and sd. In general, what does d represent? Temperature (F) at 8 AM Temperature (°F) at 12 AM 98.3 97.7 99.1 97.4 97.1 97.9 99.3 97.8 96.7 98.2 ..... Let the temperature at 8 AM be the first sample, and the temperature at 12 AM be the second sample. Find the values of d and sd- d= (Type an integer or a decimal. Do not round.)

Listed below are body temperatures from five different subjects measured at 8 AM and again at 12 AM. Find the values of d and sd. In general, what does d represent? Temperature (F) at 8 AM Temperature (°F) at 12 AM 98.3 97.7 99.1 97.4 97.1 97.9 99.3 97.8 96.7 98.2 ..... Let the temperature at 8 AM be the first sample, and the temperature at 12 AM be the second sample. Find the values of d and sd- d= (Type an integer or a decimal. Do not round.)

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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D= SD= In general why does ud represent ?
### Analysis of Body Temperature Data The following data presents body temperatures from five different subjects measured at two different times: 8 AM and 12 AM. The task is to find the values of \(\bar{d}\) and \(s_d\), and to understand what \(\mu_d\) represents. #### Temperature Measurements | Time | Subject 1 | Subject 2 | Subject 3 | Subject 4 | Subject 5 | |------------------|-----------|-----------|-----------|-----------|-----------| | Temperature (°F) at 8 AM | 97.7 | 99.1 | 97.4 | 97.1 | 97.9 | | Temperature (°F) at 12 AM | 98.3 | 99.3 | 97.8 | 96.7 | 98.2 | #### Instructions 1. Consider the temperature at 8 AM as the first sample, and the temperature at 12 AM as the second sample. 2. Calculate the values of \(\bar{d}\) (the mean of the differences between the two samples) and \(s_d\) (the standard deviation of these differences). 3. Enter the value of \(\bar{d}\) as an integer or decimal (do not round). #### Explanation - \(\bar{d}\) is the average difference in temperature between the 8 AM and 12 AM measurements for the subjects. - \(s_d\) represents the standard deviation of these differences, which indicates the variability of the temperature differences. - \(\mu_d\) in general represents the mean of the differences in the population from which this sample is drawn. This exercise helps in understanding the process of comparing two sample sets to find differences and measuring how consistent these differences are across samples.
Transcribed Image Text:### Analysis of Body Temperature Data The following data presents body temperatures from five different subjects measured at two different times: 8 AM and 12 AM. The task is to find the values of \(\bar{d}\) and \(s_d\), and to understand what \(\mu_d\) represents. #### Temperature Measurements | Time | Subject 1 | Subject 2 | Subject 3 | Subject 4 | Subject 5 | |------------------|-----------|-----------|-----------|-----------|-----------| | Temperature (°F) at 8 AM | 97.7 | 99.1 | 97.4 | 97.1 | 97.9 | | Temperature (°F) at 12 AM | 98.3 | 99.3 | 97.8 | 96.7 | 98.2 | #### Instructions 1. Consider the temperature at 8 AM as the first sample, and the temperature at 12 AM as the second sample. 2. Calculate the values of \(\bar{d}\) (the mean of the differences between the two samples) and \(s_d\) (the standard deviation of these differences). 3. Enter the value of \(\bar{d}\) as an integer or decimal (do not round). #### Explanation - \(\bar{d}\) is the average difference in temperature between the 8 AM and 12 AM measurements for the subjects. - \(s_d\) represents the standard deviation of these differences, which indicates the variability of the temperature differences. - \(\mu_d\) in general represents the mean of the differences in the population from which this sample is drawn. This exercise helps in understanding the process of comparing two sample sets to find differences and measuring how consistent these differences are across samples.
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