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

145

309

567

624

483

301

149

Quantity drawn in the quadrant	Actual occurrences	Expected occurrences	Last draw	Shortest interval	Longest interval	Current interval	Average interval
0	3	4	1147	152	696	1566	382.33
1	41	36	2645	3	336	68	64.51
2	145	145	2695	1	83	18	18.59
3	309	345	2711	1	52	2	8.77
4	567	547	2700	1	30	13	4.76
5	624	613	2712	1	26	1	4.35
6	483	502	2713	1	30	0	5.62
7	301	308	2706	1	42	7	8.99
8	149	143	2694	1	90	19	18.08
9	78	50	2710	1	275	3	34.74
10	11	13	2561	36	680	152	232.82
11	2	2	1244	337	907	1469	622.00
12	0	0				2713	0.00
13	0	0				2713	0.00
14	0	0				2713	0.00
15	0	0				2713	0.00
16	0	0				2713	0.00
17	0	0				2713	0.00
18	0	0				2713	0.00
19	0	0				2713	0.00
20	0	0				2713	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.