Binomial distribution and lottery

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To determine if the number of times a lotto ball has appeared fits a binomial distribution, a two-tailed z-test should be performed. The mean is calculated as 347/50, and the standard deviation is derived from the formula sqrt(347/50 * 49/50). The values for the random variable should include the lowest and highest occurrences of a ball, with continuity corrections applied. A hypothesis test can then be set up at a 5% significance level to evaluate the null hypothesis. This approach will help assess the distribution of the lotto ball draws effectively.
FelixHelix
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Hi there, I'm looking at a problem and wanted some help to advise if I'm going in the right direction.

I need to test if the number of times a lotto ball has appeared in a draw fits a binomial distribution. I have collated the data and ultimately will do a hypothesis test.

The draw consists of 5 balls from 1-50. there have been 347 draws to date and therefore 1735 balls drawn. Taking ball number 1 which has been drawn 31 times as an example I need to check that if the number of times it has been drawn fits a binomial distribution.

I know the formula for the bin. dist but wondered what values for the probability and what number I would need to use. Once I know this would I then set up a hypothesis test at 5% siginificance level to see if the null hypothesis is rejected or accepted?

Thanks for your help in advance.

felix
 
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FelixHelix said:
Hi there, I'm looking at a problem and wanted some help to advise if I'm going in the right direction.

I need to test if the number of times a lotto ball has appeared in a draw fits a binomial distribution. I have collated the data and ultimately will do a hypothesis test.

The draw consists of 5 balls from 1-50. there have been 347 draws to date and therefore 1735 balls drawn. Taking ball number 1 which has been drawn 31 times as an example I need to check that if the number of times it has been drawn fits a binomial distribution.

I know the formula for the bin. dist but wondered what values for the probability and what number I would need to use. Once I know this would I then set up a hypothesis test at 5% siginificance level to see if the null hypothesis is rejected or accepted?

Thanks for your help in advance.

felix

What you'd want to do is perform a two-tailed z-test (since np and n(1-p) are > 5) with mean = 347/50 and sd = sqrt(347/50 * 49/50).
 
When you say two tailed would my X's (r.v) be the lowest value of a number appearing (in this case 25) and the highest (and 51). Add a continuity correction 24.5 and 51.5 respectively and calculate the z test and see if it is significant?
 
I was reading a Bachelor thesis on Peano Arithmetic (PA). PA has the following axioms (not including the induction schema): $$\begin{align} & (A1) ~~~~ \forall x \neg (x + 1 = 0) \nonumber \\ & (A2) ~~~~ \forall xy (x + 1 =y + 1 \to x = y) \nonumber \\ & (A3) ~~~~ \forall x (x + 0 = x) \nonumber \\ & (A4) ~~~~ \forall xy (x + (y +1) = (x + y ) + 1) \nonumber \\ & (A5) ~~~~ \forall x (x \cdot 0 = 0) \nonumber \\ & (A6) ~~~~ \forall xy (x \cdot (y + 1) = (x \cdot y) + x) \nonumber...
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