Respuesta :
In an ANOVA hypothesis, when the null hypothesis is rejected, the difference between treatment means is tested by a t-test.
What is a t-test?
The T-test is a test used in statistical analysis. It helps to determine the difference between the means of two groups and if this difference is significant.
This test is used when the distribution of a data set is normal and their variances are unknown.
A T-test is used for hypothesis testing in the field of statistics. The t-test used the t-statistic, t-distribution, and the value of the degree of freedom. Statistical significance is determined by these values.
Three fundamental data values required for the t-test are -
- Difference between mean values
- Standard deviation
- The number of data values.
A t-test is either dependent or independent.
Therefore, in an ANOVA hypothesis when the null hypothesis is rejected, the difference between treatment means is tested by a t-test.
Read more about the t-test, here
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