state at least one possible source of bias in an expirament and describe how you can reduce it.
plz help
one source? The mass balance wasn't zeroed before massing samples. Zero balances before measuring.
WUT??
SORRY CAPS...again
so um yea
just ignore that ok
ill just ask it again
One possible source of bias in an experiment is selection bias, which occurs when the participants or samples chosen for the study are not representative of the target population. This bias can arise if the selection process is not random, leading to a skewed sample that does not accurately reflect the larger population.
To reduce selection bias, researchers can employ randomization techniques. One option is to use random sampling, where participants are chosen at random from the target population. For example, if the target population is all adults in a particular city, random sampling would involve randomly selecting individuals from a list of all adults in that city.
Another approach is to use random assignment, which involves randomly assigning participants to different experimental groups. This ensures that any bias in the selection of participants is spread evenly across the groups. Random assignment helps ensure that any observed differences between the groups can be attributed to the intervention or treatment being studied rather than the characteristics of the participants.
In both cases, randomization helps mitigate selection bias by ensuring that the sample is more representative of the target population, thus increasing the generalizability and validity of the study results.