Null Hypothesis (H0): The population mean anxiety score for victims (μ1) is equal to the population mean anxiety score for bully-victims (μ2).
Alternative Hypothesis (H1): The population mean anxiety score for victims (μ1) is not equal to the population mean anxiety score for bully-victims (μ2).
In hypothesis testing, we typically formulate a null hypothesis (H0) and an alternative hypothesis (H1) to assess the significance of observed differences or effects. In this case, you are comparing the anxiety scores of two groups: victims and bully-victims. Let's denote the population means of the anxiety scores for victims and bully-victims as μ1 and μ2, respectively.
The null hypothesis (H0) typically assumes that there is no significant difference between the groups, and any observed difference is due to random variability. The alternative hypothesis (H1) suggests that there is a significant difference between the groups.