Error

Definition

In statistics, error refers to the difference between an observed or measured value and the true or actual value. It represents the amount of uncertainty or inaccuracy in a measurement.

Related terms

Bias: Bias refers to a consistent deviation from the true value in one direction. It can lead to systematic errors in data analysis.

Residuals: Residuals are the differences between observed values and predicted values in regression analysis. They represent individual errors for each data point.

Sampling Error: Sampling error occurs when a sample is used to estimate characteristics of a larger population. It is caused by random variation and can affect the accuracy of statistical inference.