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use proper instruements. make sure to follow care and use

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How do you overcome or reduce the problem of random error and systematic error while doing an experiment?

how to reduce the problem of random error and systematic error while doing an experiment


How do you overcome or reduce the problem of random error and systematic error while doing an experiment-?

You can overcome or reduce the problem of random error and systematic error while doing an experiment by increasing the sample size, which means averaging over a huge number of observations.


What is error analysis?

the precentage of error in data or an experiment


How can reduce the percentage error?

The larger the sample, the lower the % error.. so to reduce a % error, increase your sample size.


Why do you need to calculate standard deviation and relative error?

to ensure your experiment is precise and to prevent error to happen during experiment


How do you reduce systematic error?

Systematic error is the result of complete equilibrium. The method to reduce systematic error is to introduce a proof that demonstrates the group has error in their consensus.


What is a source of unavoidanle experimental error in an experiment that was testing for optimal amount of required for rose plant to grow?

An error occurring due to sampling in the experiment. It is known as S.E. (Standard Error).


How do you reduce error in measurement?

take reading 4 to 5 times, and take its average this will reduce error


How many variables are changed in a experiment?

Controlling for a variable is the act of deliberately varying the experimental conditions in order to take a single variable into account in the prediction of the outcome variable. Controlling tends to reduce the experimental error. A control is something that does not change in the experiment.


What term is associated with the reproducibility of an experiment?

percent error :)


What is a percent error?

It is a measure measurement of the amount of error made in an experiment. It is obtained by comparing the actual result, with the result gotten from the experiment. % error = [(experimental value - true value) / true value] x 100


How well the results of an experiment agree with the accepted value's.?

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