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Statistical Interaction is when two or more variables are placed in a situation to see if there is correlation between them. One variable needs to be able to react with another variable to determine if there is any statistical interaction (Statistics How To website, 2016). A statistical interaction is like having one issue and seeing if it can be treated by two different types of treatments. For example, in my professional field would be in between two factors such as variable “one” patient being treated for Chorioamnionitis with Ampicillin and Gentamycin and variable “two” patient being treated with Zosyn which patient response to the different treatment is progressively better than the other within 48 hours. You would commonly run into situations of interactions in the medical field but also in everyday life. For instance, weather is one of them. The dependent variable would be a weather front, the independent variables would be location of the weather front and whether it is a warm or cold front. That would determine the activity of the front systems and predict its path.
References
Statistics How To website. (2016). https://www.statisticshowto.datasciencecentral.com...
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Running head: PART 3 TOPIC 4 DQ2
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Part 3 Topic 4 Discussion Question 2
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PART 3 TOPIC 4 DQ2
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Part 3 Topic 4 Discussion Question 2
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