How might error analysis help scientists identify and quantify the causes and effects of uncertainties in measured data? Why is it
important to perform multiple trials in an experiment?

For producing the error free results of an experiment that identification and quantification of effects of uncertainties are important.

Explanation:

The error analysis is necessary to detect the uncertainties in the measured data or results of the experiment to ensure the validity and acceptability of the results. The errors can be avoided by increasing the precision and accuracy of the measuring instruments. The other factors like changes in the variables of the experiment can also contribute to the errors in the experiment.

It is necessary to perform the multiple trails in an experiment to assure that the results of the experiment are consistent with every trial.

measure their densities same density, same sub

electrical potential energy =0.072 j

explanation:

electrical potential energy is given by

u= q δv

q= charge=6 c

δv= potential difference and is given by

δv= e d

e= electric field

d= distance=5 mm=0.005 m

δv=2.4 (0.005)=0.012 v

now electric potential energy= u= q δv

u=6 (0.012)

u=0.072 j