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

139

353

594

660

530

337

156

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	622	452.00
1	35	38	2763	2	371	119	78.94
2	139	154	2879	1	95	3	20.71
3	353	366	2878	1	37	4	8.15
4	594	581	2882	1	28	0	4.85
5	660	651	2876	1	30	6	4.36
6	530	533	2874	1	30	8	5.42
7	337	327	2881	1	45	1	8.55
8	156	151	2880	1	113	2	18.46
9	57	53	2768	1	234	114	48.56
10	12	14	2612	33	605	270	217.67
11	4	3	1503	150	835	1379	375.75
12	0	0				2882	0.00
13	0	0				2882	0.00
14	0	0				2882	0.00
15	0	0				2882	0.00
16	0	0				2882	0.00
17	0	0				2882	0.00
18	0	0				2882	0.00
19	0	0				2882	0.00
20	0	0				2882	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.