One of the following examples of data interpretation shows the researcher's bias. Which is it?
(Points : 3)
A scientist views spectrographic images sent by satellite to find the area of an ice sheet.
A health official takes a census of the HIV status of every adult in his city.
A geologist digs a well to measure the decline in the water level of an aquifer.
A researcher hopes to prove that babies smile at two months old. She counts some confused expressions as smiles.|||The last one is bias because when it says a researcher hopes to prove that babies smile at two months old, it means that she already thinks that babies are going to be smiling at the age of two months, and she will use whatever data she finds to back up her statement. The word "hopes" is key because it shows that she already believe that babies will smile at that age.
Hope I helped :)|||The last 1.
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