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Increase n or sample size.

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14y ago

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Related Questions

Difference between standard error and sampling error?

Standard error is random error, represented by a standard deviation. Sampling error is systematic error, represented by a bias in the mean.


What is the relationship of the standard error of the mean to the standard error of the difference?

It would help to know the standard error of the difference between what elements.


How can reduce the percentage error?

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


Is accuracy or precision related to standard error?

Standard error is a measure of precision.


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.


Why is standard deviation of a statistic called standard error?

The standard error is the standard deviation divided by the square root of the sample size.


What is the purpose of using the scientific method?

to make careful observations (got this off a study guide at school haha)


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


The purpose and function of standard error of measurement?

the purpose and function of standard error of mean


What happens to the standard error of the mean if the sample size is decreased?

The standard error increases.


What can be done to reduce negative skewness?

When we increase sample size the standard deviation( error) will be decrease and the nagetive skewness is converting to normality. shabirahmad666@rocketmail.com


How does sample size affect the size of your standard error?

The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.