Describe Real Life Examples (Cases): Applied Statistics

Real Life Examples: Applied Statistics
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Interaction occurs when the effect of one independent variable depends on another variable that modifies the effect. An example is using a new medicine that has been approved where the success of the treatment is considered, for those who have received the new medication and those who receive the control medicine. However, upon closer analysis, the age factor affects treatment outcomes, where the males have been found to respond better to the treatment compared to females. This indicates the likelihood of gender and treatment interaction where the male subjects respond better to the new treatment, but females respond better to the control treatment.
Another example is the risk of coronary heart disease for those with diabetes, when the cases are the stratified based on gender. Considering the incidences of diabetes and coronary heart disease is necessary to determine interaction. Nurses have often worked together with physicians to...