The Independent Samples t-test is a parametric statistical inference method used to assess whether there is a statistically significant difference between the means of two independent populations based on interval-scaled data drawn from those groups. The core principle relies on comparing the observed mean difference against its standard error, adjusted for pooled or separate variances depending on homogeneity assumptions verified via Levene's test. Valid application within statistics requires adherence to strict theoretical conditions: independence of observations, normal distribution of dependent variables in each group, and interval scaling of measurements, distinguishing it from tests involving paired data or non-parametric distributions.
The Independent Samples t-test is a parametric statistical inference method used to assess whether there is a statistically significant difference between the means of two independent populations bas…