Statistical Test for Differences Between Groups with Varying Sizes

In summary, the individual is looking for a statistical test to determine if the differences between the group means are significant. Two potential tests that could be used are the t-test for unequal sample sizes and Pearson's chi-square test. The individual is not looking for an explanation of the math, but simply the name of the test.
  • #1
Yann
48
0
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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  • #3
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:
  • #4
You can use the t test for pairwise comparisons of means.
 

FAQ: Statistical Test for Differences Between Groups with Varying Sizes

What is a simple statistical test?

A simple statistical test is a method used to analyze numerical data and determine whether there is a significant difference between two or more groups or variables. It is often used to assess the likelihood of a relationship or difference being due to chance or to a true effect.

What are some examples of simple statistical tests?

Some examples of simple statistical tests include t-tests, ANOVA, chi-square tests, and correlation tests. These tests can be used to compare means, variances, proportions, or relationships between variables.

When should a simple statistical test be used?

A simple statistical test should be used when there is a specific hypothesis or research question that can be answered using numerical data. It is also appropriate when there are two or more groups or variables being compared, and when the data follows a normal distribution.

What are the steps involved in conducting a simple statistical test?

The steps involved in conducting a simple statistical test include: 1) stating the research question and hypotheses, 2) selecting an appropriate test based on the data and research question, 3) collecting and organizing the data, 4) calculating the test statistic and p-value, and 5) interpreting the results to draw conclusions.

What are the limitations of simple statistical tests?

Simple statistical tests have some limitations, including the assumption of normality, the need for large sample sizes, and the potential for Type I and Type II errors. They also do not account for other factors that may influence the results, such as confounding variables. It is important to consider these limitations when interpreting the results of a simple statistical test.

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