Dcafe
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I'm in first year statistics and for our project is to analyze data from a survey that was handed out. There are 29 variables and we get to choose which ones we want to perform our statistical tests on. One of the statistical tests that we have to preform is a poisson distribution. However there's barely any data and most of it is categorical. My hypothesis is as follows:

H0: The number of females at the UBCO campus on a given day has a Poisson distribution.

HA= The number of females at the UBCO campus on a given day does not have a Poisson distribution

I know that approximately 50.5% of the population is female. According to the survey which was supposedly randomly sampled 24 were female and 11 were male.

Can I do a Poisson distribution? Does this make sense?

What I've done so far is estimated
µ by going 0.505 x 35 = 17.675, and using that in the equation with X! being 24!

Relevant Equation: Pr[ X successes]= (e−µ µX)/ X!
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ghostwalker
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(Original post by Dcafe)

Can I do a Poisson distribution? Does this make sense?
I can't see how Poisson is relevant here.

I'd look for some other data.
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davros
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(Original post by Dcafe)
I'm in first year statistics and for our project is to analyze data from a survey that was handed out. There are 29 variables and we get to choose which ones we want to perform our statistical tests on. One of the statistical tests that we have to preform is a poisson distribution. However there's barely any data and most of it is categorical. My hypothesis is as follows:

H0: The number of females at the UBCO campus on a given day has a Poisson distribution.

HA= The number of females at the UBCO campus on a given day does not have a Poisson distribution

I know that approximately 50.5% of the population is female. According to the survey which was supposedly randomly sampled 24 were female and 11 were male.

Can I do a Poisson distribution? Does this make sense?

What I've done so far is estimated
µ by going 0.505 x 35 = 17.675, and using that in the equation with X! being 24!

Relevant Equation: Pr[ X successes]= (e−µ µX)/ X!
The Poisson distribution is used to measure events happening at a certain rate in space or time, it doesn't seem appropriate here!
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