The difference between the actual value of the figure and its approximated value is called statistical error. For example if number of students of a college is 1,255 but in round figures it is written as 1,300, then the difference is called ‗Statistical error‘. In the words of Prof. Connor, ―**In statistical sense, „error‟ means the difference between the approximate value and the true or ideal value, accurate determination of which is not possible”.**

**Difference between Mistake and Error**

| Basis | Mistake | Error |

a) | Nature | Committed deliberately | Not deliberate |

b) | Source | Due to use of wrong method | Difference between actual and approximate value. |

c) | Estimation | Difficult to estimate | Can be estimated |

d) | Prevention | Can be avoided by carefulness | Cannot be avoided easily. |

e) | State of Occurrence | Can be committed at any stage | Creeps in only at the state of collecting, analysis and interpretation. |