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PLEASE ANSWER NUMBER 3 ONLY

PLEASE ANSWER NUMBER 3 ONLY

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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PLEASE ANSWER NUMBER 3 ONLY
The Clinical Importance of Soil Bacteria Data Collected Log of Number of Colonies Treatment Dose (mg/kg) Control 9.0, 9.5, 9.0, 8.9 Vancomycin 1.0 8.5, 8.4, 8.2 5.0 5.3, 5.9, 4.7 Teixobactin 1.0 8.5, 6.0, 8.4, 6.0 5.0 3.8, 4.9, 5.2, 4.9 Data Interpretation 1. Calculate the mean for each treatment. Σχ 2. Use your results from item 1 to evaluate the effectiveness of vancomycin and teixobactin. 3. Calculate the standard deviation for each treatment. 1 E(x; – x)? - 1 S = | 4. The standard error (SE), which indicates how greatly the mean would likely vary if the experiment was repeated, is calculated as SE = Vn As a rough rule of thumb, if an experiment is to be repeated, the new mean would typically lie within two standard errors of the original mean (that is, within the range X±2SE). Calculate X+ 2SE for each treatment, determine whether these ranges overlap, and interpret your results. Page 3
Transcribed Image Text:The Clinical Importance of Soil Bacteria Data Collected Log of Number of Colonies Treatment Dose (mg/kg) Control 9.0, 9.5, 9.0, 8.9 Vancomycin 1.0 8.5, 8.4, 8.2 5.0 5.3, 5.9, 4.7 Teixobactin 1.0 8.5, 6.0, 8.4, 6.0 5.0 3.8, 4.9, 5.2, 4.9 Data Interpretation 1. Calculate the mean for each treatment. Σχ 2. Use your results from item 1 to evaluate the effectiveness of vancomycin and teixobactin. 3. Calculate the standard deviation for each treatment. 1 E(x; – x)? - 1 S = | 4. The standard error (SE), which indicates how greatly the mean would likely vary if the experiment was repeated, is calculated as SE = Vn As a rough rule of thumb, if an experiment is to be repeated, the new mean would typically lie within two standard errors of the original mean (that is, within the range X±2SE). Calculate X+ 2SE for each treatment, determine whether these ranges overlap, and interpret your results. Page 3
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