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Accuracy is how close together your results are each time you repeat an experiment, so keeping the variables as constant as you can ensures your results differ as little as possible.
According to the scientific method, any scientific experiment must be done at least 3 times. Also, only one variable can be changed in an experiment (the independent variable). Any more changes will will ruin your dependent variable (your results) and make your data unreliable. If your experiment fails, learn from it, redo the experiment, and change another variable.
Redo the experiment multiple times. If the results are consistent, the experiment becomes more accurate. minimize errors of the experiment by controlling and characterizing the errors beforehand
repeating it
In an evaluation you put what you need to improve on the next time you do an experiment.
it is by repeating the experiment a few times which make the results more reliable
Limit variables. Use accurate measuring equipment. Use multiple trials to obtain data that can be averaged. Observe intently.
There are a number of different things which can improve the estimate:select an appropriate estimation method,repeat the experiment more times,Improve the accuracy of your measurement,ensure that other variables are properly controlled.
There are a number of different things which can improve the estimate:select an appropriate estimation method,repeat the experiment more times,Improve the accuracy of your measurement,ensure that other variables are properly controlled.
Accuracy is how close together your results are each time you repeat an experiment, so keeping the variables as constant as you can ensures your results differ as little as possible.
No, only better teachers and students can improve poor performing schools.
You train and practice.
Measurement
dumb aass
your wiener
Calibrate
According to the scientific method, any scientific experiment must be done at least 3 times. Also, only one variable can be changed in an experiment (the independent variable). Any more changes will will ruin your dependent variable (your results) and make your data unreliable. If your experiment fails, learn from it, redo the experiment, and change another variable.