the pill or the placebo) and the recovery rates of the patients. In this scenario, the variables are the treatments (i.e. What if both groups had the same recovery rates? What does that mean? If both groups had no significant difference in their recovery rates, that means the pill was not effective against cough. If the patients who were taking the real drug were able to recover significantly faster than the patients taking the placebo, that means the pill was effective in treating cough. the patients taking the placebo and those taking the real pill) were monitored. Then, the recovery rates of both groups (i.e. To preclude the “placebo” effect - wherein the patient apparently feels better after taking the placebo pill, the patients were not informed if the pill they were taking was real or the placebo. Some patients were given the drug while the others were given a placebo (not the real treatment). Let’s take a look at this sample scenario: an experiment was done to check if a newly developed pill is effective in treating patients with cough. Synonyms: explanatory variable exposure variable input variable manipulated variable predictor variable risk factor regressor. In science, an independent variable refers to the variable in a functional relation wherein the value is independent.
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