I plan to perform a t-test between risk index and leakage values to know if there is a significant difference between leakage values of low, medium, and high risk pipes. However, the data I have on leakage and risk index was measured using the same raw data (e..g. pipe age, pipe material, pipe diameter, pressure)
Hello, if you have two variables measured using the same raw data, you would typically use a paired t-test (dependent or correlated t-test). This type of t-test is used for dependent samples, basically one sample that has been tested twice (repeated measures) or when there are two samples that have been matched or paired. This is different from an independent t-test (two-sample or unpaired t-test) which is used when the two sets of data are independent from one another. Hope this helps
If you have one independent variable which is pipes. Pipes are classified into 3 categories (low, medium, high risk pipes) and this classification was designed depending on many factors (e..g. pipe age, pipe material, pipe diameter, pressure). And you have one dependent variable which is leakage values, you can use one way ANVOA test if its assumptions are realized.
Yes, an ANOVA is the most suitable test if the data are normal in distribution, followed by performing post hoc tests :)
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