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Chemistry Yes or No: Topic - HPLC 1.We need the void time so that we have a measure of the retention factor for use in the analysis. 2. We need to have multiple injections made under the same conditions producing comparable data. 3. We need to have acquired all of our retention and spectral data first so that we can complete the component identification. 4. We would need a basic statistical analysis of the relevant data that provided a measurement of the error.

Chemistry Yes or No: Topic - HPLC 1.We need the void time so that we have a measure of the retention factor for use in the analysis. 2. We need to have multiple injections made under the same conditions producing comparable data. 3. We need to have acquired all of our retention and spectral data first so that we can complete the component identification. 4. We would need a basic statistical analysis of the relevant data that provided a measurement of the error.

Chemistry
Chemistry
10th Edition
ISBN:9781305957404
Author:Steven S. Zumdahl, Susan A. Zumdahl, Donald J. DeCoste
Publisher:Steven S. Zumdahl, Susan A. Zumdahl, Donald J. DeCoste
Chapter1: Chemical Foundations
Section: Chapter Questions
Problem 1RQ: Define and explain the differences between the following terms. a. law and theory b. theory and...
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pls solve this problem with in 15 to 30 min. Answer it in Yes or No
Chemistry Yes or No: Topic - HPLC 1.We need the void time so that we have a measure of the retention factor for use in the analysis. 2. We need to have multiple injections made under the same conditions producing comparable data. 3. We need to have acquired all of our retention and spectral data first so that we can complete the component identification. 4. We would need a basic statistical analysis of the relevant data that provided a measurement of the error.
Transcribed Image Text:Chemistry Yes or No: Topic - HPLC 1.We need the void time so that we have a measure of the retention factor for use in the analysis. 2. We need to have multiple injections made under the same conditions producing comparable data. 3. We need to have acquired all of our retention and spectral data first so that we can complete the component identification. 4. We would need a basic statistical analysis of the relevant data that provided a measurement of the error.
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