Increase n or sample size.
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Standard error is random error, represented by a standard deviation. Sampling error is systematic error, represented by a bias in the mean.
Standard error is a measure of precision.
The standard error increases.
You calculate the standard error using the data.
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.