Binomial distribution and lottery

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SUMMARY

This discussion focuses on testing whether the frequency of a specific lotto ball's appearances fits a binomial distribution. The draw consists of 5 balls from a total of 50, with 347 draws resulting in 1735 balls drawn. The user seeks to apply a hypothesis test at a 5% significance level, using the binomial distribution formula. A two-tailed z-test is recommended, utilizing a mean of 6.94 and a standard deviation of 1.57, with continuity corrections applied to the observed values.

PREREQUISITES
  • Understanding of binomial distribution and its formula
  • Knowledge of hypothesis testing and significance levels
  • Familiarity with z-tests and their application
  • Basic statistics, including mean and standard deviation calculations
NEXT STEPS
  • Learn about the application of the binomial distribution in real-world scenarios
  • Study the process of conducting a two-tailed z-test
  • Explore continuity correction methods in statistical testing
  • Research the implications of significance levels in hypothesis testing
USEFUL FOR

Statisticians, data analysts, and anyone involved in probability theory or statistical hypothesis testing, particularly in the context of lottery systems and similar random draws.

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?
 

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