Whenever Adrian plays his favorite video game he always A higher score if he plays well listen to music he wants to know if listening to music while playing video games affects other kids as well he decides to test all the boys in his class what should Adrian do to avoid experimental bias

A. Only test the boys who usually play video games
B. Only test boys who like videogames
C. Include girls in the experiment
D. Include the teacher In the experiment

Can someone please help

" .....affects other kids as well ..."

Do girls count as "kids" or only boys and small goats?

Thank u

i don't get it

i dont get it ether

To avoid experimental bias, Adrian should choose option C - include girls in the experiment.

By only testing boys who usually play video games (option A), there is a bias toward a specific group, which may not accurately reflect the overall population. This could lead to the results being applicable only to boys who play video games, and not to other kids who do not.

Similarly, selecting only boys who like video games (option B) would also introduce bias, as it narrows down the sample to a specific subgroup with a certain preference. This may not represent the broader population of kids who play video games.

Including girls in the experiment (option C) helps to provide a more diverse and representative sample, as it incorporates an additional demographic. This allows for a better understanding of whether listening to music affects all kids, rather than just one specific group.

Including the teacher in the experiment (option D) may not necessarily address the issue of bias in this case. While involving the teacher could potentially provide additional insights, it may not effectively combat the potential bias as mentioned in the other options.