t-test for independent samples A two-tailed t-test for independent samples (equal variances assumed) showed that the difference between yes and no regarding the dependent variable ABUSE was not statistically significant, t (5622) = 0.51, p = .613, 95%, The p-value (p) is .613, more significant than the commonly used significance level of .05. This means that the difference between the two groups is not statistically significant. We fail to reject the null hypothesis, which assumes no difference between the two groups. The 95% confidence interval [-0.46, 0.78] means that we are 95% confident that the actual difference between the means of the two groups lies within this range. Thus, the null hypothesis was not rejected. The effect size d was 0.03 (equal variances assumed). With d = 0.03, there was a very small effect. Suggesting that the difference between the two groups, while not statistically significant, is also not practically significant. Based on the statistics, indicate if your hypothesis is likely in the population sampled, and if so indicate if the result is also likely to be meaningful