Distribution in quadrants

Distribution of drawn numbers in each quadrant

Choose the quadrant

Quadrant 1

1-5, 11-15, 21-25, 31-35, 41-45

Quantity drawn in the quadrant

Actual frequency

Expected frequency

152

344

610

682

535

333

161

Quantity drawn in the quadrant	Actual occurrences	Expected occurrences	Last draw	Shortest interval	Longest interval	Current interval	Average interval
0	4	4	2813	152	1666	148	703.25
1	44	39	2935	3	336	26	66.70
2	152	158	2954	1	83	7	19.43
3	344	377	2961	1	52	0	8.61
4	610	597	2960	1	30	1	4.85
5	682	669	2957	1	26	4	4.34
6	535	548	2959	1	30	2	5.53
7	333	336	2946	1	42	15	8.85
8	161	156	2941	1	90	20	18.27
9	82	55	2896	1	275	65	35.32
10	12	14	2824	36	680	137	235.33
11	2	3	1244	337	907	1717	622.00
12	0	0				2961	0.00
13	0	0				2961	0.00
14	0	0				2961	0.00
15	0	0				2961	0.00
16	0	0				2961	0.00
17	0	0				2961	0.00
18	0	0				2961	0.00
19	0	0				2961	0.00
20	0	0				2961	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.