Conversely, 95% CI is the most commonly used, and as Fethney (2010) explains it would indicate that " there is a 95% probability that the interval bounded by lower and upper limit contains 'true' population value" (p.95). With that in mind, the CI reveals the stability of the estimate evidenced by the proximity to the same value if the study was repeated multiple times (Confidence Intervals, n.d.). Furthermore, the purpose of CI is to confirm a clinical significance of a study which translates to the effectiveness of the implemented
Conversely, 95% CI is the most commonly used, and as Fethney (2010) explains it would indicate that " there is a 95% probability that the interval bounded by lower and upper limit contains 'true' population value" (p.95). With that in mind, the CI reveals the stability of the estimate evidenced by the proximity to the same value if the study was repeated multiple times (Confidence Intervals, n.d.). Furthermore, the purpose of CI is to confirm a clinical significance of a study which translates to the effectiveness of the implemented