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Table 1 Worked example. Which points are outliers?

From: Detecting outliers when fitting data with nonlinear regression – a new method based on robust nonlinear regression and the false discovery rate

Time(X) Residual t ratio P value Threshold Q = 5% Threshold Q = 1%
8 0.31 0.00 0.9969 0.0500 0.0100
5 7.85 0.10 0.9221 0.0462 0.0092
10 -17.26 0.22 0.8298 0.0423 0.0085
4 25.38 0.32 0.7524 0.0385 0.0077
0 31.05 0.40 0.6999 0.0346 0.0069
7 35.16 0.45 0.6628 0.0308 0.0062
11 -40.49 0.52 0.6160 0.0269 0.0054
12 49.48 0.63 0.5413 0.0231 0.0046
6 56.23 0.72 0.4888 0.0193 0.0038
9 -76.82 0.98 0.3494 0.0154 0.0031
2 -108.51 1.39 0.1956 0.0116 0.0023
1 -302.88 3.87 0.0031 0.0077 0.0015
3 -395.21 5.05 0.0005 0.0039 0.0008