Hi,

Newbie here so I will try to explain as clearly as I can. I do research in the neuro field. I have a control group of neurons that I am analyzing for the presence or absence (binary) of a specific trait (let's call it trait A). I found that the control group have A 60% of the time. Now I want to look at a mutant to determine if its neurons have/don't have trait A. So I guess there are two questions here:

1) How do I determine the sample size required for the mutant in order to see a statistically significant (95% confidence) drop to 30%. I have scoured google and found an online calculator for a 1-sample binomial which seems to make sense.

2) Hypothetically, if I collected data for the control (60% have A, n=100) and I also collected data for a mutant (40% have A, n=50), which statistical test(s) can I use to show significance between the control and mutant.

I hope that makes sense! I would greatly appreciate any help

Newbie here so I will try to explain as clearly as I can. I do research in the neuro field. I have a control group of neurons that I am analyzing for the presence or absence (binary) of a specific trait (let's call it trait A). I found that the control group have A 60% of the time. Now I want to look at a mutant to determine if its neurons have/don't have trait A. So I guess there are two questions here:

1) How do I determine the sample size required for the mutant in order to see a statistically significant (95% confidence) drop to 30%. I have scoured google and found an online calculator for a 1-sample binomial which seems to make sense.

2) Hypothetically, if I collected data for the control (60% have A, n=100) and I also collected data for a mutant (40% have A, n=50), which statistical test(s) can I use to show significance between the control and mutant.

I hope that makes sense! I would greatly appreciate any help

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