
paleon12 |
Actually, I can't. I tried it, but I got an error when I went to post it.
So I can repost my results, but no one can see the raw numbers.
Results:
1 - 511 (5.11%)
2 - 494 (4.94%)
3 - 502 (5.02%)
4 - 539 (5.39%)
5 - 512 (5.12%)
6 - 502 (5.02%)
7 - 491 (4.91%)
8 - 509 (5.09%)
9 - 528 (5.28%)
10 - 486 (4.86%)
11 - 490 (4.9%)
12 - 489 (4.89%)
13 - 475 (4.75%)
14 - 494 (4.94%)
15 - 467 (4.67%)
16 - 478 (4.78%)
17 - 526 (5.26%)
18 - 540 (5.4%)
19 - 464 (4.64%)
20 - 503 (5.03%)Sorted Results:
18 - 540 (5.4%)
4 - 539 (5.39%)
9 - 528 (5.28%)
17 - 526 (5.26%)
5 - 512 (5.12%)
1 - 511 (5.11%)
8 - 509 (5.09%)
20 - 503 (5.03%)
3 - 502 (5.02%)
6 - 502 (5.02%)
2 - 494 (4.94%)
14 - 494 (4.94%)
7 - 491 (4.91%)
11 - 490 (4.9%)
12 - 489 (4.89%)
10 - 486 (4.86%)
16 - 478 (4.78%)
13 - 475 (4.75%)
15 - 467 (4.67%)
19 - 464 (4.64%)CHITEST = 0.521369785
The given Chi-Squared value needs to be compared against a Chi-Squared distribution with k-1 degrees of freedom. In this case k = 20 as you divided the data into 20 intervals. The Chi-squared value that you compare it to for 95% confidence is 30.144 (Pulled from a Chi-Squared table). Because your given Chi-Squared value is less that 30.144 we can be 95% confident that the data was generated using a random number generator that uniformally disperses integers between 1 and 20 i.e. a dice.
So the results appear to be valid.