what are errors? briefly explain different types of data errors with examples
Answers
Answer:
he measurement error is defined as the difference between the true or actual value and the measured value. The true value is the average of the infinite number of measurements, and the measured value is the precise value.
The error may arise from the different source and are usually classified into the following types. These types are
Gross Errors
Systematic Errors
Random Errors
Gross Errors
The gross error occurs because of the human mistakes. For examples consider the person using the instruments takes the wrong reading, or they can record the incorrect data. Such type of error comes under the gross error. The gross error can only be avoided by taking the reading carefully.
Systematic Errors
The systematic errors are mainly classified into three categories.
Instrumental Errors
Environmental Errors
Observational Errors
Random errors:- the error which is caused by the sudden change in the atmospheric condition, such type of error is called random error. these type of error remain even after the removal of the systematic error. hence such type of error is called as random errors.
Explanation:
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