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Wilcoxon Signed-Rank Critical Values Table

Look up exact Wilcoxon signed-rank critical values for paired observations. Find the appropriate value using the number of nonzero differences and significance level, and learn how to interpret the rank-sum statistic.

Wilcoxon Signed-Rank Critical Values

Find the number of nonzero paired differences n in the left column. Then read the critical value for the appropriate one-tailed or two-tailed significance level. For a two-tailed test, the statistic T is the smaller of the positive and negative rank sums.

Reject the two-sided null when T = min(W+,W−) is at or below the listed cutoff. A dash (—) means no attainable rejection threshold; it is not zero.

Exact Wilcoxon signed-rank T cutoffs, two-tailed α, no tied absolute differences
Nonzero pairs nTwo-tailed α = 0.10Two-tailed α = 0.05Two-tailed α = 0.02Two-tailed α = 0.01
50———
620——
7320—
85310
98531
1010853
11131075
12171397
132117129
1425211512
1530251915
1635292319
1741342723
1847403227
1953463732
2060524337
2167584942
2275655548
2383736254
2491816961
25100897668
26110988475
271191079283
2813011610191
29140126110100
30151137120109
31163147130118
32175159140128
33187170151138
34200182162148
35213195173159
36227208185171
37241221198182
38256235211194
39271249224207
40286264238220
41302279252233
42319294266247
43336310281261
44353327296276
45371343312291
46389361328307
47407378345322
48426396362339
49446415379355
50466434397373

All displayed cutoffs use the exact no-tie permutation distribution, not a normal approximation. The quick lookup supplies separate directional one-sided cutoffs and attained probabilities.

Find a Wilcoxon Critical Value

Enter sample size and select the tail convention. The complete static table remains visible without JavaScript.

How to Use the Wilcoxon Signed-Rank Table

Calculate the differences between paired observations and remove zero differences. Rank the absolute values of the remaining differences, then sum the ranks separately for positive and negative differences. For a two-tailed test, use the smaller rank sum as T. Find the number of nonzero pairs in the table and compare T with the appropriate critical value.

Wilcoxon Signed-Rank Test Formula

The signed-rank test uses both the direction and the magnitude ordering of paired differences. After ranking absolute nonzero differences, add the ranks with positive signs and those with negative signs. Their total equals n(n+1)/2 when there are no tied absolute differences and consecutive ranks are used.

dᵢ is the paired difference. W+ = Σ positive ranks; W− = Σ negative ranks; T = min(W+, W−); W+ + W− = n(n+1)/2. Reject the two-sided null when T ≤ Tcritical.

What Sample Size Should You Use?

For this reference table, n is the number of nonzero paired differences, not necessarily the number of original pairs. A pair with an exact difference of zero is omitted under the stated convention before assigning signed ranks.

One-Tailed and Two-Tailed Critical Values

The two-sided test considers departures in either direction and uses the smaller rank sum T under the table’s convention. A one-sided test evaluates a specified direction and must use the corresponding directional rank sum. The chosen tail convention affects the critical value and its interpretation.

Define d = first observation − second observation before looking at the data. For a positive-shift alternative, compare W− ≤ c, equivalently W+ ≥ n(n+1)/2 − c. For a negative-shift alternative, compare W+ ≤ c. Do not substitute min(W+,W−) into a one-sided decision.

Tied Ranks and Zero Differences

The ordinary exact table assumes distinct absolute nonzero differences. If absolute differences are tied, average ranks are commonly assigned, and the null distribution changes. In that situation, a tie-aware exact calculation or another justified method should be used instead of treating the standard critical table as universally exact.

Pairs must be independent of other pairs. The standard signed-rank location interpretation assumes a continuous, symmetric distribution of paired differences. Under the null, signs are independent and equally likely conditional on magnitudes. This table omits zeros (the Wilcox convention), not the Pratt zero-ranking convention. Lookup is exact for n = 5–50, with no normal approximation.

Wilcoxon Signed-Rank vs. Mann–Whitney U

The Wilcoxon signed-rank test uses differences within paired observations. The Mann–Whitney U test compares two independent groups. The names are related, but the designs, rank statistics and critical-value tables are different. Choose the table that matches the study design.

Worked Examples

Example 1: Two-Tailed Test with Ten Nonzero Pairs

For n = 10 and a two-tailed significance level of 0.05, the exact critical value is T = 8. If the smaller signed-rank sum is 7, the result is in the rejection region. If T = 9, it is not.

Example 2: No Critical Value

For n = 5 and a two-tailed significance level of 0.05, the exact table has no attainable critical value. The smallest possible two-sided p-value is 0.0625, so the table displays a dash.

Example 3: Twelve Nonzero Pairs

For n = 12 at a two-tailed significance level of 0.05, the critical value is T = 13. An observed T of 10 is at or below the threshold and therefore reaches the exact rejection region under the table’s assumptions.

Frequently Asked Questions

What is a Wilcoxon signed-rank table?

It is a table of critical values used with the Wilcoxon signed-rank test for paired or matched observations. Critical values depend on the number of nonzero paired differences and the selected significance level.

How do I read the Wilcoxon signed-rank table?

Find n, the number of nonzero differences, then select the appropriate significance level and tail convention. Compare your test statistic with the critical value using the stated rejection rule.

What does T mean in a Wilcoxon table?

In the two-sided convention used here, T is the smaller of the positive and negative rank sums after the paired differences have been ranked.

Do zero differences count toward n?

Not under this table’s stated convention. Remove exact zero differences before ranking, then use the number of remaining pairs.

What happens if absolute differences are tied?

Tied absolute differences require special care because they change the rank structure. The ordinary no-tie exact table may not be appropriate without a tie-aware method.

Why is a critical value sometimes missing?

The exact signed-rank distribution is discrete. For some small sample sizes, even the most extreme result cannot attain the requested significance level.

Is the Wilcoxon signed-rank test the same as Mann–Whitney U?

No. The signed-rank test is for paired data, while Mann–Whitney U is for independent samples. The Wilcoxon rank-sum test, not the signed-rank test, is equivalent to Mann–Whitney U.

Can I use this table for a one-tailed test?

Yes, provided you select the correct one-tailed convention and use the appropriate directional rank sum rather than automatically using the smaller rank sum from a two-sided test.

Sources and Methodology

Dynamic programming expands ∏(1+zʳ) for ranks r = 1 through n using BigInt coefficients. The distribution totals exactly 2ⁿ sign assignments. The two-sided rejection event is explicitly counted as min(W+,S−W+) ≤ c, where S = n(n+1)/2; the one-sided event is the specified directional rank sum ≤ c. Exact integer cross-multiplication selects the largest cutoff with probability ≤ α. Independent subset enumeration and a separate coefficient recurrence verify the counts.

Reviewed: October 29, 2026. Reference data is generated into static HTML at build time. Optional lookups and clipboard actions run locally; no measurements are sent to a server.

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