Multiple Comparisons and Outliers

Mandel's h Statistic Table: Critical Values for Between-Laboratory Consistency

Critical values of Mandel's h, the standardised deviation of each laboratory's mean from the mean of all laboratories, used in ISO 5725-2 to screen interlaboratory studies.

  • p = 3 to 100 laboratories
  • α = 0.10 to 0.005
  • ISO 5725-2
  • Test your data

Mandel's h Table

Rows: number of laboratories p · Columns: significance level α · Cells: critical value of |h|. A laboratory is flagged if |h| exceeds the cell.

Mandel's h critical values
Significance level (α) →
Laboratories (p) ↓
α = 0.1α = 0.05α = 0.025α = 0.01α = 0.005
31.1401.1511.1541.1551.155
41.3501.4251.4621.4851.492
51.4411.5711.6521.7151.742
61.4891.6561.7721.8721.922
71.5181.7111.8521.9832.054
81.5381.7491.9092.0652.152
91.5531.7771.9522.1272.229
101.5631.7981.9852.1762.290
111.5721.8152.0112.2152.339
121.5791.8292.0322.2482.380
131.5851.8402.0502.2752.415
141.5901.8502.0652.2982.444
151.5941.8582.0782.3182.469
161.5971.8652.0892.3352.491
171.6001.8712.0992.3502.511
181.6031.8762.1072.3632.528
191.6051.8812.1152.3752.543
201.6071.8852.1212.3852.557
211.6091.8892.1272.3952.569
221.6111.8932.1332.4032.580
231.6131.8962.1382.4112.590
241.6141.8992.1422.4182.600
251.6151.9012.1472.4252.608
261.6171.9042.1502.4312.616
271.6181.9062.1542.4362.623
281.6191.9082.1572.4422.630
291.6201.9102.1602.4462.636
301.6201.9112.1632.4512.642
311.6211.9132.1662.4552.647
321.6221.9152.1682.4592.653
331.6231.9162.1702.4632.657
341.6231.9172.1732.4662.662
351.6241.9192.1752.4692.666
361.6251.9202.1772.4722.670
371.6251.9212.1782.4752.674
381.6261.9222.1802.4782.677
391.6261.9232.1822.4802.681
401.6271.9242.1832.4832.684
501.6301.9312.1952.5022.709
601.6331.9362.2032.5142.726
801.6361.9422.2132.5302.746
1001.6381.9462.2192.5392.758

Tip: click any value to highlight its row and column.

How to read this table

  1. Compute each laboratory's mean x̄i and the mean x̿ and SD s of these p means.
  2. For each laboratory compute hi = (x̄i − x̿) / s.
  3. Find the row for the number of laboratories p and read the 5% and 1% columns.
  4. ISO 5725-2 calls a laboratory a straggler if |h| exceeds the 5% value and an outlier if it exceeds the 1% value.

Worked example

Eight laboratories report mean results of 10.2, 10.4, 9.9, 10.1, 10.0, 10.3, 11.6, 9.4. The mean of the means is 10.238 and their SD is 0.630. Laboratory 7 has the largest deviation, h = (11.6 − 10.238) / 0.630 = 2.163.

For p = 8 laboratories, the 5% value (Row p = 8, α = 0.05) gives 1.749 and the 1% value (Row p = 8, α = 0.01) gives 2.065. Because |h| = 2.163 greater than 2.065, laboratory 7 is outlier (above the 1%% value).

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Formula and how the values were computed

hi = (x̄i − x̿) / s  ·  hcrit = [(p − 1)/√p] · √B1−α; ½, (p−2)/2

Under normality, p·h²/(p − 1)² follows a Beta(½, (p − 2)/2) distribution, so the critical value is exact: (p − 1)/√p times the square root of the upper α point of that beta distribution. α is the probability that a single laboratory chosen in advance exceeds the value (two-sided). As a check, for p = 3 the distribution is an arcsine law and the 1% value, 1.155, equals the largest |h| that is possible for three laboratories, 2/√3.

Frequently asked questions

What is Mandel's h statistic?

It is a standardised measure of how far one laboratory's mean is from the average of all laboratories' means, in units of the SD of those means. Large positive or negative values suggest a laboratory is biased relative to the others.

What is the difference between a straggler and an outlier?

In ISO 5725-2 a straggler is a result flagged at the 5% level and an outlier is flagged at the 1% level. Stragglers are kept in the analysis; outliers are investigated and may be excluded if a cause is found.

Should I use Mandel's h or Grubbs' test?

They answer different questions. Mandel's h is a consistency check across laboratories, usually shown as a bar chart. Grubbs' test and Cochran's test are the formal outlier tests that ISO 5725-2 applies afterwards.

Is the p in the table the number of laboratories or the number of results?

The number of laboratories (cells) providing a mean for the same level of the material.

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