User:James C. Schwabacher/Notebook/CHEM-571/2013/09/04

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Objective

  1. Continue laboratory work from yesterday, collecting absorption data for adenosine and inosine solutions
  2. Calculate calibration curves using linear regression
  3. Conduct data analysis of the class' data: Means, Standard Deviations, Grubb's test for outliers, 95% and 90% Confidence Intervals

Procedure

  1. Procedure from yesterday was used for a second trial of adenosine. A new stock solution and set of dilutions were made. The stock solution was made from .0809 grams of solid adenosine:

Data

Matt Hartings Why does some of this data go below zero? You should re-correct this. The baseline should be zero for this one.

  • Data Analysis of the class' data for Adenosine and Inosine

Notes

All of the data collected yesterday was found to be systematically lower than the rest of the class' data. Thus, the data from the inosine trial was not included in the overall group data. Furthermore, a trial 2 of adenosine dilutions was run, using a new stock solution. This second set of data fit with the overall group data, and our first trial was discarded. It is most probable that there was an error in making the first set of stock solutions yesterday that resulted in the incomplete transfer of the massed solids into the 100 mL volumetric flasks. Having a smaller amount of solute in the solvent than calculated would result in systematically lower absorbance results.




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