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the group of 30 victims scored an average of 21.5 with a sample standard deviation of 10 on the anxiety scale. the group of 27 bully-victims scored an average of 25.8 with a sample standard deviation of 9 on the same scale. you do not have any presupposed assumptions about whether victims or bully-victims will be more anxious, so you formulate the null and alternative hypotheses as:

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User Nomadus
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1 Answer

2 votes

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.

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User Deebee
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