Answer:
Standard Error
Explanation:
The standard deviation is directly proportional to the sample standard deviation or standard error.
According to the relation :
Standard Error = standard deviation / sqrt(sample size)
Going by these relation an increase in the value of standard deviation will favor or increase the standard error withba constant Number of samples.
Therefore, overestimating the standard deviation will. Cause an increase in the standard error, while underestimating the standard deviation will also lower the standard error.