- noun the extent to which chance affects the accuracy of a sample
- (written as Standard Error)The standard deviation of the sampling distribution of the mean. In mul- tiple linear regression analysis, the SE is usually placed beneath the estimated value for each coefficient - the smaller it is relative to the coefficient, the more accurate the estimate is likely to be. Sometimes, however, the Student's t-test or the z-test is placed beneath the estimated value for each coefficient. In these cases, the larger the number the more accurate the estimate is likely to be.
- noun an estimate of possible errors when calculating the results of a particular survey. A large standard error leads to lowered confidence limits.