Question

question 1 (multiple choice worth 2 points) (04.04h lc) banana tree type 1 yielded 135 bushels per acre last year at a research farm, and the farm experienced a drought. this year, banana tree type 2, planted in the same location, yielded 167 bushels per acre. the researchers do not know whether the difference is a result of the superiority of type 2 banana trees or the drought. what is this an example of? confounding variable bias matched pairs design the placebo effect replication

Explanation:

A confounding variable is an external factor that affects both the independent and dependent variables, making it hard to isolate the true effect of the independent variable. Here, the drought (a separate factor) and the banana tree type both could explain the yield difference, so this fits the definition of a confounding variable scenario.

Answer:

Confounding variable