Analysis of variance

Ecology

Tukey's range test

Biology

Statistics

Selection (genetic algorithm)

Computer science

Word error rate

Paleontology

Type (biology)

Test (biology)

Psychology

Mathematics

Scheffé's method

Statistical hypothesis testing

Statistical significance

Multiple comparisons problem

Significant difference

Type I and type II errors

Artificial intelligence

Confidence interval

International Journal of Statistics and Applied Mathematics

Examining a huge amount of data is a typical issue in any research process. However, different statistical processes and techniques play essential role to derive a meaningful conclusion from the presented enormous data. Control of type I error is highly essential for a researcher or statistician while dealing with comparisons test with more than two variables. Multiple testing statistical tests provides a structural system and minimizes the error rate by helping to derive meaningful accurate conclusions. Among the different multiple test procedures Tukey's honestly significant difference test (Tukey's HSD) is most common and popular techniques. The main objective of this study was to explore how significantly selection of confidence level or error rate can affect the rate of committing type I error while drawing conclusion. The effect of committing type I error with selection of confidence level or error rate was explored with citing suitable case study in a special education setting. The case study focuses cognitive effect of music on growth and enhancement of the motor behavior (running, jumping and sliding) of children with mild intellectual disability enrolled in the special school setting. ANOVA test was performed and the significance of selection of individual confidence level and simultaneous confidence level) in Tukey’s HSD test was described.

Multiple comparison test by Tukey’s honestly significant difference (HSD): Do the confident level control type I error