Discrete Distributions

Poisson Distribution Table: P(X = x)

The probability of exactly x events when events occur independently at an average rate of λ per interval.

  • λ = 0.1 to 20
  • All non-negligible x
  • Calculator included

Poisson Table

Rows: number of events x · Columns: mean λ · Cells: P(X = x)

λ = 0.1 to 1

λ = 0.1 to 1
Mean (λ) →
x ↓
0.10.20.30.40.50.60.70.80.91
00.90480.81870.74080.67030.60650.54880.49660.44930.40660.3679
10.09050.16370.22220.26810.30330.32930.34760.35950.36590.3679
20.00450.01640.03330.05360.07580.09880.12170.14380.16470.1839
30.00020.00110.00330.00720.01260.01980.02840.03830.04940.0613
40+0.00010.00030.00070.00160.00300.00500.00770.01110.0153
50+0+0+0.00010.00020.00040.00070.00120.00200.0031
60+0+0+0+0+0+0.00010.00020.00030.0005
70+0+0+0+0+0+0+0+0+0.0001

λ = 1.5 to 6

λ = 1.5 to 6
Mean (λ) →
x ↓
1.522.533.544.555.56
00.22310.13530.08210.04980.03020.01830.01110.00670.00410.0025
10.33470.27070.20520.14940.10570.07330.05000.03370.02250.0149
20.25100.27070.25650.22400.18500.14650.11250.08420.06180.0446
30.12550.18040.21380.22400.21580.19540.16870.14040.11330.0892
40.04710.09020.13360.16800.18880.19540.18980.17550.15580.1339
50.01410.03610.06680.10080.13220.15630.17080.17550.17140.1606
60.00350.01200.02780.05040.07710.10420.12810.14620.15710.1606
70.00080.00340.00990.02160.03850.05950.08240.10440.12340.1377
80.00010.00090.00310.00810.01690.02980.04630.06530.08490.1033
90+0.00020.00090.00270.00660.01320.02320.03630.05190.0688
100+0+0.00020.00080.00230.00530.01040.01810.02850.0413
110+0+0+0.00020.00070.00190.00430.00820.01430.0225
120+0+0+0.00010.00020.00060.00160.00340.00650.0113
130+0+0+0+0.00010.00020.00060.00130.00280.0052
140+0+0+0+0+0.00010.00020.00050.00110.0022
150+0+0+0+0+0+0.00010.00020.00040.0009
160+0+0+0+0+0+0+0+0.00010.0003
170+0+0+0+0+0+0+0+0+0.0001
180+0+0+0+0+0+0+0+0+0+

λ = 6.5 to 12

λ = 6.5 to 12
Mean (λ) →
x ↓
6.577.588.599.5101112
00.00150.00090.00060.00030.00020.00010.00010+0+0+
10.00980.00640.00410.00270.00170.00110.00070.00050.00020.0001
20.03180.02230.01560.01070.00740.00500.00340.00230.00100.0004
30.06880.05210.03890.02860.02080.01500.01070.00760.00370.0018
40.11180.09120.07290.05730.04430.03370.02540.01890.01020.0053
50.14540.12770.10940.09160.07520.06070.04830.03780.02240.0127
60.15750.14900.13670.12210.10660.09110.07640.06310.04110.0255
70.14620.14900.14650.13960.12940.11710.10370.09010.06460.0437
80.11880.13040.13730.13960.13750.13180.12320.11260.08880.0655
90.08580.10140.11440.12410.12990.13180.13000.12510.10850.0874
100.05580.07100.08580.09930.11040.11860.12350.12510.11940.1048
110.03300.04520.05850.07220.08530.09700.10670.11370.11940.1144
120.01790.02630.03660.04810.06040.07280.08440.09480.10940.1144
130.00890.01420.02110.02960.03950.05040.06170.07290.09260.1056
140.00410.00710.01130.01690.02400.03240.04190.05210.07280.0905
150.00180.00330.00570.00900.01360.01940.02650.03470.05340.0724
160.00070.00140.00260.00450.00720.01090.01570.02170.03670.0543
170.00030.00060.00120.00210.00360.00580.00880.01280.02370.0383
180.00010.00020.00050.00090.00170.00290.00460.00710.01450.0255
190+0.00010.00020.00040.00080.00140.00230.00370.00840.0161
200+0+0.00010.00020.00030.00060.00110.00190.00460.0097
210+0+0+0.00010.00010.00030.00050.00090.00240.0055
220+0+0+0+0.00010.00010.00020.00040.00120.0030
230+0+0+0+0+0+0.00010.00020.00060.0016
240+0+0+0+0+0+0+0.00010.00030.0008
250+0+0+0+0+0+0+0+0.00010.0004
260+0+0+0+0+0+0+0+0+0.0002
270+0+0+0+0+0+0+0+0+0.0001
280+0+0+0+0+0+0+0+0+0+

λ = 13 to 20

λ = 13 to 20
Mean (λ) →
x ↓
1314151617181920
00+0+0+0+0+0+0+0+
10+0+0+0+0+0+0+0+
20.00020.00010+0+0+0+0+0+
30.00080.00040.00020.00010+0+0+0+
40.00270.00130.00060.00030.00010.00010+0+
50.00700.00370.00190.00100.00050.00020.00010.0001
60.01520.00870.00480.00260.00140.00070.00040.0002
70.02810.01740.01040.00600.00340.00190.00100.0005
80.04570.03040.01940.01200.00720.00420.00240.0013
90.06610.04730.03240.02130.01350.00830.00500.0029
100.08590.06630.04860.03410.02300.01500.00950.0058
110.10150.08440.06630.04960.03550.02450.01640.0106
120.10990.09840.08290.06610.05040.03680.02590.0176
130.10990.10600.09560.08140.06580.05090.03780.0271
140.10210.10600.10240.09300.08000.06550.05140.0387
150.08850.09890.10240.09920.09060.07860.06500.0516
160.07190.08660.09600.09920.09630.08840.07720.0646
170.05500.07130.08470.09340.09630.09360.08630.0760
180.03970.05540.07060.08300.09090.09360.09110.0844
190.02720.04090.05570.06990.08140.08870.09110.0888
200.01770.02860.04180.05590.06920.07980.08660.0888
210.01090.01910.02990.04260.05600.06840.07830.0846
220.00650.01210.02040.03100.04330.05600.06760.0769
230.00370.00740.01330.02160.03200.04380.05590.0669
240.00200.00430.00830.01440.02260.03280.04420.0557
250.00100.00240.00500.00920.01540.02370.03360.0446
260.00050.00130.00290.00570.01010.01640.02460.0343
270.00020.00070.00160.00340.00630.01090.01730.0254
280.00010.00030.00090.00190.00380.00700.01170.0181
290.00010.00020.00040.00110.00230.00440.00770.0125
300+0.00010.00020.00060.00130.00260.00490.0083
310+0+0.00010.00030.00070.00150.00300.0054
320+0+0.00010.00010.00040.00090.00180.0034
330+0+0+0.00010.00020.00050.00100.0020
340+0+0+0+0.00010.00020.00060.0012
350+0+0+0+0+0.00010.00030.0007
360+0+0+0+0+0.00010.00020.0004
370+0+0+0+0+0+0.00010.0002
380+0+0+0+0+0+0+0.0001
390+0+0+0+0+0+0+0.0001
400+0+0+0+0+0+0+0+

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

How to read this table

  1. Find the block that contains your mean λ.
  2. Go to the row for x and the column for λ.
  3. The cell is P(X = x). Add cells for a range of counts, or use the cumulative table.
  4. Rows stop once every remaining probability in the block is below 0.00005.

Worked example

A site records an average of 2.5 adverse events per month. The chance of exactly 4 events next month is row 4, column λ = 2.5: 0.1336. The chance of a month with no events is 0.0821.

Click the underlined links to highlight the value in the table.

Calculator

For values between the rows and columns of the table. Results update as you type.

Formula and how the values were computed

P(X = x) = e−λ λx / x!

Each cell is computed exactly from the Poisson formula and rounded to four decimals.

Frequently asked questions

When is the Poisson distribution appropriate?

For counts of events that occur independently at a constant average rate, such as infections per 1,000 patient-days or adverse events per month. The mean and the variance are both λ.

What if my counts are more variable than Poisson?

When the variance is clearly larger than the mean (overdispersion), a negative binomial model is usually more appropriate.

How does the Poisson relate to the binomial?

With many trials and a small probability of success, the binomial is well approximated by a Poisson distribution with λ = np.

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