Statistical Test for Differences Between Groups with Varying Sizes

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Discussion Overview

The discussion revolves around determining the appropriate statistical test to assess differences between groups with varying sizes, specifically focusing on whether the variations between group means are statistically significant. The context includes considerations of both parametric and non-parametric tests.

Discussion Character

  • Technical explanation, Debate/contested

Main Points Raised

  • One participant seeks a statistical test name without a detailed explanation of the mathematics involved.
  • Another participant asks for clarification on what is meant by "differences among the groups," suggesting that it could refer to either group means or distributions.
  • A participant specifies that they are interested in the statistical significance of variations between group means, indicating that sample size will be a factor in the analysis.
  • Another participant suggests using the t-test for pairwise comparisons of means.

Areas of Agreement / Disagreement

There is no consensus on a single statistical test, as participants have different interpretations of the question and suggest various tests based on those interpretations.

Contextual Notes

Participants have not fully defined the assumptions or conditions under which the suggested tests would be appropriate, such as the distribution of the data or the specific nature of the differences being analyzed.

Yann
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A very simple thing; I have to collect data with 4 different group size. Something like;

Group A; 12.4, 17.8, 12.5 ...
Group B; 15.2, 9.5, ...

I simply want to know if the differences between the groups are statistically signifiant. I don't want anybody to explain the me the math, I just want the name of the statistical test.
 
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Hi,

I want to know if the variations between the group means are statistically significant (which probably mean I'll need to use the size of the sample for each group as well).
 
Last edited:
You can use the t test for pairwise comparisons of means.
 

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