14 апр. 2011 г. · The t-test is invalid for small samples from non-normal distributions, but it is valid for large samples from non-normal distributions. Small ... Non-parametric alternative to simple t-test - Cross Validated t-test for a non-normal population - Cross Validated Why is t-test more appropriate than z-test for non-normal data? two sample t-test for non-normal population - Cross Validated Другие результаты с сайта stats.stackexchange.com

10 июл. 2020 г. · If the data is not normal and the sample sizes are unequal, you can use the Mann-Whitney U test instead of a t-test.

27 окт. 2023 г. · One commonly used nonparametric test for comparing two or more groups is the Kruskal-Wallis test. The Kruskal-Wallis test is an extension of the ... Is it appropriate to use a t-test if the data is not normally ... - Quora Can I test two samples with different distribution (normal and ... Другие результаты с сайта www.quora.com

26 окт. 2021 г. · The samples do not have to be normally distributed, given a sufficient sample size. In the t-test, our parameter of interest is the mean.

21 окт. 2021 г. · The t-test is invalid for small samples from non-normal population distributions, but is valid for large samples from non-normal distributions.

11 июн. 2024 г. · If your data is not normally distributed, the t-test's results may not be trustworthy. Non-normal data can result from various factors like ...

Standard statistical tests for analyzing continuous data (t-test, analysis of variance [ANOVA], linear regression) may also perform poorly on non-normal data ...

14 июл. 2021 г. · The Mann-Whitney U-test is a non-parametric alternative to an independent samples t-test that some people recommend for non-normal data.

7 мая 2022 г. · One assumption for a t-test is "the dependent variable should be normally distributed for each category of the independent variable".

You have several options for handling your non normal data. Many tests, including the one sample Z test, T test and ANOVA assume normality. You may still be ...