For each graph:a) Describe the graph:b) Describe the data:c) Interpret the data. Since there are no statistics included can you say whether the difference is significant? What type of statists would be helpful for analyzing the data in the figures? ### Transcription for Educational Website**Title:** Conversion of Taxadiene to Taxol Precursor by E. coli Strains#### Graph Description:The graph displays the conversion of taxadiene (mg/mL) by different E. coli strains (17, 26, and 22). The y-axis represents the conversion of taxadiene in milligrams per milliliter, ranging from 0 to 25 mg/mL. The x-axis shows three E. coli strains: strain 17, strain 26, and strain 22. Each strain has a corresponding bar indicating the level of taxadiene conversion. Strain 26 shows the highest conversion rate, whereas strain 22 shows the lowest.#### Figure 2:New E. coli strains, including strains 22, 17, and 26, were engineered to convert taxadiene into a downstream precursor for Taxol. Strains were grown in a 1-L bioreactor for 24 hours, after which the concentration of the downstream product was measured. The data presented shows the mean measurements for two replicate bioreactors, including the standard error.#### Questions:1. **For the Graph:** a) **Describe the Graph:** The bar graph illustrates the performance of three engineered E. coli strains in converting taxadiene into a precursor for Taxol. The height of each bar represents the mean conversion rate, with error bars indicating the standard error for two replicates. b) **Describe the Data:** The data shows varying conversion efficiencies among the strains. Strain 26 had the highest conversion capability, reaching nearly 25 mg/mL, while strain 17 achieved approximately 10 mg/mL, and strain 22 had the lowest conversion under 5 mg/mL. c) **Interpret the Data:** The graph suggests that strain 26 is the most efficient in converting taxadiene to the desired precursor, indicating potential for further development in producing Taxol. The differences in conversion rates may be due to genetic or metabolic differences among the strains. The standard error bars suggest reasonable experimental consistency.

(a) The given graph is a bar graph with E.coil strains on the x-axis and the amount of conversion of…

25 I. conversi 20 on of taxadien 15 (mg/ml) 10 strain 17 strain 26 strain 22 Figure 2. New E. coli strains, strains 22, 12, and 37, were engineered to convert Taxadiene into a downstream precursor for Taxol. Strains were grown in a 1-L bioreactor for 24 hours then the concentration of the downstream product was measured. The data shows the mean measurements for 2 replicate bioreactors with the standard error. 1. For the graph: a) Describe the graph: b) Describe the data: c) Interpret the data. Describe the statistics that are shown and what you can infer from them:

25 I. conversi 20 on of taxadien 15 (mg/ml) 10 strain 17 strain 26 strain 22 Figure 2. New E. coli strains, strains 22, 12, and 37, were engineered to convert Taxadiene into a downstream precursor for Taxol. Strains were grown in a 1-L bioreactor for 24 hours then the concentration of the downstream product was measured. The data shows the mean measurements for 2 replicate bioreactors with the standard error. 1. For the graph: a) Describe the graph: b) Describe the data: c) Interpret the data. Describe the statistics that are shown and what you can infer from them:

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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