1. How does the concept of statistical significance translate into potential practical uses? Imagine that you are testing the difference between an anti-depressant group (people taking anti-depressants to help with their depression) and a placebo group (people not taking an anti-depressant to help with their depression). The results indicate there is a significant difference between the two groups at a p<.05. The results of this study suggest there is a 95% chance that you found a difference between the two groups and that taking an anti-depressant is more helpful to treating depression than not taking an anti-depressant.
2. A study can be statistically significant but not very meaningful. This usually comes from statistical significance being overused and conclusions drawn without meaning. For example, imagine that a study finds that people with long hair do well on course exams. Despite the statistical significance of the results, this is not useful information because there is no meaning in the results.
3. Explain the difference between statistical significance and meaningfulness and examine how understanding statistical significance will enhance your social work practice.
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5. Explain the difference between statistical significance and meaningfulness by using a social work example.
6. Explain how an understanding of statistical significance will enhance your social work practice.

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