frequencies of numbers in Pick 3

Reply #9

your wrong — Sat, 22 May 2004 12:23:21 GMT

The binomial probability distribution is a discrete distribution. An experiment qualifies as a binomial if there are exactly two outcomes, the probability of success remains the same from trial to trial, the trials are independent, and a fixed number of trials. The number of successes, probability of success, probability of failure, and number of trials must be known to calculate binomial probabilities. One common formula used for binomial probabilities is:P(x successes) = Cn,x px qn-x where n r... [ More ]

Reply #8

Bertil — Sat, 22 May 2004 11:50:11 GMT

I used the same formula to calculate the std.dev. for 10 00 draws of a pick 3 game when I got 3.16 as the square root of 9.99. But the lottery expert at my state lottery claimed a more complex formula must be used, but he would not tell me its form.I'm confident the binomial formula applies here.Bertil

Reply #7

Bertil — Sat, 22 May 2004 11:42:43 GMT

Quote: Originally posted by your wrong on May 21, 2004Standard DeviationChance variation is conveniently measured by standard deviation, denoted by SD. Roughly, SD measures how far a typical occurrence of a random process will be from the average. For example, in many situations, about 68 percent of observations will be within one SD of the average. Often, the SD is difficult to compute, but there is simple formula for the SD of the number of occurrences of an dvent in repeated, independent tria... [ More ]

Reply #6

QWEST46 — Sat, 22 May 2004 09:23:44 GMT

Yup dragon. I think i might of read that information from my probability book and everything matches word for word. lmao

Reply #5

dragon — Sat, 22 May 2004 02:25:16 GMT

I think your wrong must be working for Microsoft, writing help files, because the above post is perfectly accurate and utterly useless to Bertil's question.

Reply #4

your wrong — Sat, 22 May 2004 00:04:31 GMT

Standard DeviationChance variation is conveniently measured by standard deviation, denoted by SD. Roughly, SD measures how far a typical occurrence of a random process will be from the average. For example, in many situations, about 68 percent of observations will be within one SD of the average. Often, the SD is difficult to compute, but there is simple formula for the SD of the number of occurrences of an dvent in repeated, independent trials, whether it be heads in coin tosses or 7 in dice

Reply #3

Colin F — Mon, 10 May 2004 03:16:52 GMT

BertilSorry, I mustn't of put my reading glasses on. I've quite deliberately have not got involved in discussing Pick3 or Pick4 games because I haven't done any work there. I have tended to look at them as three or four Power Ball's put together and the strategy to deal with that I leave to others at this stage.In Access there are Functions STDEV, STDEVP, VAR and VARP which I have found totally useless in providing anything meaningfull to work with. It's just like the Sum of the occurrences over... [ More ]

Reply #2

Bertil — Sun, 09 May 2004 19:52:00 GMT

Colin,I'm refering to a Pick 3 type game drawn 10 000 times in which #330 came up only 6 times instead of 10. The mean frequency of 10 must have std.dev. which I now think will be 3.16 if the binomial formula applies. If not, please tell me how to find the std.dev. Bertil

Reply #1

Colin F — Sun, 09 May 2004 04:48:12 GMT

BertilI think you may have to rephrase what your asking. Standard Deviation (square root of variance) and 10,000 Draws if that's what you mean - I'm OK with. However, ... will be for the mean of 10 per number ... you've lost me.Which Lotto game are you referring to?RegardsColin

frequencies of numbers in Pick 3

Bertil — Thu, 06 May 2004 21:32:51 GMT

Can somebody tell me what the std.dev. will be for the mean of 10 per number when drawing 10 000 times