Chi-squared test on Irish Type III Analysis
Dennis Wright’s paper from 2009 describes a four-fold greater frequency of the Irish Type III (IT3) signature among Dalcassian surnames compared to non-Dalcassian surnames … http://www.jogg.info/pages/51/files/Wright.pdf
This data is summarised in Tables 7 and 8 of the paper.
Chi-square test
I put these values into the 2x2 contingency table that forms part of the chi-square calculator at https://www.socscistatistics.com/tests/chisquare/default2.aspx.
The contingency table below provides the following information: the observed cell totals, (the expected cell totals) and [the chi-square statistic for each cell].
The chi-square statistic, p-value and statement of significance appear beneath the table. Blue means you're dealing with dependent variables; red, independent.
IT3+
|
IT3-
|
Marginal Row Totals
| |
Dalcasian
|
57 (39.68) [7.56]
|
214 (231.32) [1.3]
|
271
|
Non-Dalcassian
|
37 (54.32) [5.52]
|
334 (316.68) [0.95]
|
371
|
Marginal Column Totals
|
94
|
548
|
642 (Grand Total)
|
The chi-square statistic is 15.3283. The p-value is .00009. This result is significant at p < .01.
The chi-square statistic with Yates correction is 14.4561. The p-value is .000143. Significant at p < .01. (There's probably a consensus now that the correction is over-cautious in its desire to avoid a type 1 error, but the statistic is there if you want to use it).
If we analyse only those Dalcassian surnames in bold in Table 7, we get the following results:
IT3+
|
IT3-
|
Marginal Row Totals
| |
Dalcasian
|
51 (22.04) [38.03]
|
73 (101.96) [8.22]
|
124
|
Non-Dalcassian
|
37 (65.96) [12.71]
|
334 (305.04) [2.75]
|
371
|
Marginal Column Totals
|
88
|
407
|
495 (Grand Total)
|
The chi-square statistic is 61.7173. The p-value is . This result is significant at p < .01.
The chi-square statistic with Yates correction is 59.6042. The p-value is . Significant at p < .01.
Fisher Exact Test
I also used another calculator on the website to do a Fisher Exact Test … https://www.socscistatistics.com/tests/fisher/default2.aspx
The Fisher exact test statistic and statement of significance appear beneath the table. Blue means you're dealing with dependent variables; red, independent.
Results
| ||||||
IT3+
|
IT3-
|
Marginal Row Totals
| ||||
Dalcassian
|
57
|
214
|
271
| |||
non-Dalcassian
|
37
|
334
|
371
| |||
Marginal Column Totals
|
94
|
548
|
642 (Grand Total)
|
If we analyse only those Dalcassian surnames in bold in Table 7, we get the following results:
Results
| ||||||
IT3+
|
IT3-
|
Marginal Row Totals
| ||||
Dalcassian
|
51
|
73
|
124
| |||
non-Dalcassian
|
37
|
334
|
371
| |||
Marginal Column Totals
|
88
|
407
|
495 (Grand Total)
|
The Fisher exact test statistic value is < 0.00001. The result is significant at p < .01.
Conclusions
Both the chi-square test and Fisher exact test confirm that all comparisons are statistically significant, with p < 0.01 for all comparisons.
Maurice Gleeson
April 2020
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