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Significance of E. Coli Evolution Experiments (view source)
Revision as of 14:10, March 5, 2009
, 14:10, March 5, 2009Added table comparing p-values from paper to chi-square test p-values
The chi-square test is a common statistical method.<ref>''Mathematical Statistics with Applications'' by Wackerly, Mendenhall, and Scheaffer, Section 14.4.</ref> It can be implemented in Microsoft Excel. If the numbers from the last four columns of the table above (excluding the “totals” row) are entered into Excel in rows 1-12 and columns A-D, then the p-value can be computed by entering “=CHITEST(A1:B12,C1:D12)” into any empty cell of the spreadsheet.
The chi-square test is a common statistical method.<ref>''Mathematical Statistics with Applications'' by Wackerly, Mendenhall, and Scheaffer, Section 14.4.</ref> It can be implemented in Microsoft Excel. If the numbers from the last four columns of the table above (excluding the “totals” row) are entered into Excel in rows 1-12 and columns A-D, then the p-value can be computed by entering “=CHITEST(A1:B12,C1:D12)” into any empty cell of the spreadsheet.
==Comparison of p-Values==
The following table compares the p-values reported in Table 2 of Blount et al. to the chi-square p-values for the same experiments. For experiments one and three, the chi-square p-values are much larger than the "mean generation" test p-values from the paper.
{|class="wikitable" style="text-align:center"
|-
|
!Experiment 1
!Experiment 2
!Experiment 3
|-
!p-Value from Paper
|0.0085
|0.0007
|0.082
|-
!Chi-square p-value
|0.19
|0.0004
|0.22
|}
==References==
==References==
[[Category:Conservapedia Dealings with PNAS and Lenski]]
[[Category:Conservapedia Dealings with PNAS and Lenski]]
[[Category:Statistics]]
[[Category:Statistics]]
==See Also==
http://www.sciencenews.org/index/feature/activity/view/id/40006/title/Molecular_Evolution
http://sciencenews.org/view/generic/id/40649/title/FOR_KIDS_Hitting_the_redo_button_on_evolution