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Hypothesis Testing And Analysis Of Aggression Intervention Data

Explore hypothesis testing in the context of aggression intervention data in this Assignment Solution.

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    Hypothesis Testing and Analysis of Aggression Intervention Data • 1. State the null and research hypotheses: (Research) H 1 Participants who participated in the aggression intervention have rated more aggressive than the general population in regard to aggression scores. (Null) H 0 Participants who participated in the aggression measure rated the same as the general population in regard to aggression scores. 2. Set the level of significance, or Type 1 error, and explain what it means. I have set the significance level to P <0.05 because this would conclude that the results would be statistically highly significant. The significance level is the probability of the type 1 error. If you accept the research hypothesis you can say that your sample is comparative to the general population therefore your results from the test can be generalized to the population. 3. Select the appropriate test statistic, and explain why it is appropriate. Describe the formula (10.1) for the statistic and what it means. The appropriate test is the one sample Z test because we are examining the differences between one sample and a population. Also, there is only one group being tested. 4. Compute the test statistic to get the ‘obtained value’. The z value for a comparison of the sample mean to this population mean given the data is - 2.08. 5. Find the critical value of the statistic from the appropriate table. A Z value of +1.96 has associated with it a probability of 0.25 and if we consider that the sample mean could be bigger or smaller than the population mean we need to consider both sides of the distribution and a range of +/ - 1.96 and a total Type 1 error rate of .05 6. Compare the obtained and critical value. The obtained value is - 2.08. A test of this null hypothesis at the level of .05 with 12 participants the critical value is +/ - 1.96. This value represents the value at which chance is the most attractive explanation as to why the sample mean and the population mean differ. Beyond that critical value in either direction means that we need to provide an explanation as to why the sample and the population means differ. Sample mean is 2. Population mean is 5.

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