Distribution in quadrants

Distribution of drawn numbers in each quadrant

Choose the quadrant

Quadrant 2

6-10, 16-20, 26-30, 36-40, 46-50

Quantity drawn in the quadrant

Actual frequency

Expected frequency

137

352

590

654

524

336

155

Quantity drawn in the quadrant	Actual occurrences	Expected occurrences	Last draw	Shortest interval	Longest interval	Current interval	Average interval
0	5	4	2260	28	1340	601	452.00
1	35	38	2763	2	371	98	78.94
2	137	153	2853	1	95	8	20.82
3	352	364	2856	1	37	5	8.11
4	590	577	2859	1	28	2	4.85
5	654	646	2861	1	30	0	4.37
6	524	530	2837	1	30	24	5.41
7	336	324	2841	1	45	20	8.46
8	155	150	2854	1	113	7	18.41
9	57	53	2768	1	234	93	48.56
10	12	14	2612	33	605	249	217.67
11	4	2	1503	150	835	1358	375.75
12	0	0				2861	0.00
13	0	0				2861	0.00
14	0	0				2861	0.00
15	0	0				2861	0.00
16	0	0				2861	0.00
17	0	0				2861	0.00
18	0	0				2861	0.00
19	0	0				2861	0.00
20	0	0				2861	0.00

The table shows data on the quantity of drawn numbers in each quadrant, considering all draws of lotomania (with the current matrix).
Actual occurrences are the real total occurrences of a quantity of numbers in the referred quadrant.
Expected occurrences are the expected occurrences of each quantity of numbers in the referred quadrant, according to mathematical probability.
Last draw is the most recent draw in which that quantity of numbers was drawn in the referred quadrant.
Shortest interval is the shortest gap between draws in which that quantity of numbers was drawn in the referred quadrant.
Longest interval is the longest gap between draws in which that quantity of numbers was drawn in the referred quadrant.
Current interval is the current interval since the last draw in which that quantity of numbers was drawn in the referred quadrant.
Average interval is the general average of intervals between draws in which that quantity of numbers was drawn in the referred quadrant (until the last draw in which that quantity of numbers was drawn in the referred quadrant).
The actual and expected occurrences tend to get closer to each other the largest the sample.