Independent t-tests are used to determine if there is a significant difference between the means of two independent groups.
Paired t-tests are used to determine if there is a significant difference between the means of two related groups, where the data is normally distributed and continuous.
A dependent t-test is used to compare changes in sleep quality, duration, and melatonin levels within each group (pre- and post-intervention).
An independent t-test is used to compare these changes between the experimental and control groups.
Analysis of Variance (ANOVA) is used to determine if there is any difference between the sample means of groups.
Mann-Whitney U test is used to
identify significant differences between the means of ordinal variables. It is a non-parametric test.
Linear Regression is used
to determine if the change in one variable can predict a corresponding change in another variable.
Multiple Regression is used
to determine if a change in two or more variables can bring about changes in the outcome.
