What kind of statistic methods?

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The discussion centers on statistical methods for comparing two samples: 5 untreated/control samples and 50 treated samples. The original poster expresses confusion over the applicability of ANOVA, T-tests, and Z-tests due to sample size constraints. It is established that ANOVA requires at least three groups, while T-tests are not suitable for the given sample sizes. The conversation highlights the need for alternative statistical methods, such as non-parametric tests, to effectively analyze the data.

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Okey, i am confused about this matter.


I have two different samples. One is 5 untreated/control samples (same kind) and the other is a 50 treated samples (same kind). I wonder what kind of statistic methods i can use to compare the results between them? I don't think that i can use ANOVA, since they need at least 3 different samples.

Besides i can not use T-test or Z-test either, since the former needs both samples to be at a small number n<30, while the latter needs both samples to be large n>30. My samples is n=5 (controll samples) and n=50 (treated samples).

Hope for inputs.

Thank you!
 
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So what you're saying about t test (that it requires n < 30) implies that more observations you have, more biased your test results will be.

For example in regression analysis, t values are ordinarily printed with the coefficient estimates. But the more data you have, the less reliable those t values will be, according to your claim.

That is not the impression I have.
 
See http://edu.ag.uidaho.edu/critical/p_st.htm
 
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