A repeated-measures test usually is more likely to detect a real treatment effect than an independent-measures test because the

Question

gavmur [86]

3 years ago

11

A repeated-measures test usually is more likely to detect a real treatment effect than an independent-measures test because the

repeated-measures design typically has a smaller variance and a smaller estimated standard error. T/F

Business

1 answer:

Sladkaya [172] · Answer 1 · 2022-04-21T00:48:33+03:00

Answer:

True

Explanation:

A repeated measure test is a type of ANOVA test that helps to analyse the means across the variables that are repeated values and observations. Repeated measure ANOVA test is more effective and efficient compared to real treatment test because the variation from the mean is small and has a smaller estimated error. Meaning, the probability of the wrong estimation is slightly less as compared to real treatment test.