User:Helen L. Slucher/Notebook/CHEM 571/2013/09/04: Difference between revisions

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==Calculations (Class Data)==
==Calculations (Class Data)==
== Calculations Using class Data ==
'''Adenosine''''s average absorbance is 0.250606061, and its standard deviation is 0.152263534.
'''Adenosine''''s average absorbance is 0.250606061, and its standard deviation is 0.152263534.
<br> The confidence level is calculated using the following equation:
<br> The confidence level is calculated using the following equation:

Revision as of 10:59, 12 October 2013

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Overview

  • Determine the molar absorptivities of adenosine and inosine.

Data

  1. Series 1: 0.4
  2. Series 2: 0.8
  3. Series 3: 1.6
  4. Series 4: 2.4
  5. Series 5: 3.2
  6. Series 6: 4
  7. Series 7: 4.8

Class Data

Calculations (Class Data)

Adenosine's average absorbance is 0.250606061, and its standard deviation is 0.152263534.
The confidence level is calculated using the following equation:
[math]\displaystyle{ \left[ \bar{x} - \frac{ts}{\sqrt{n}}, \bar{x} + \frac{ts}{\sqrt{n}} \right] \, }[/math]
At 90% confidence, the confidence interval is [0.204,0.296].
at 95% confidence, the confidence interval is [0.195,0.305].


Inosine's average absorbance is 0.299666667, and its standard deviation is 0.169381.
The confidence level is calculated using the following equation:
[math]\displaystyle{ \left[ \bar{x} - \frac{ts}{\sqrt{n}}, \bar{x} + \frac{ts}{\sqrt{n}} \right] \, }[/math]
At 90% confidence, the confidence interval is [0.243,0.356].
at 95% confidence, the confidence interval is [0.231,0.368].


Grubb's test for outliers is used on the Adenosine data to determine if there are any outliers because there are a few data points that may appear to be outliers.

[math]\displaystyle{ G = \frac{x_-\bar{x}}{s} }[/math]


if Gcalc>Gtable, then the point is an outlier.
From the G-table, G=1.71.
From the data, points (2.00E-05,0.406),(2.50E-05,0.442), and (3.00E-05,0.558) seemed to be outliers.
The new graph for Adenosine is below.


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