In: Statistics and Probability
How are various types of mean like Arithmetic mean, Geometric mean, and Harmonic mean different?
How are they calculated?
Arithmetic mean of a set of n observations is the sum of the values of the observations, divided by the number of observations.
If are n observations then:
Arithmetic Mean (A.M) = \( {\frac {x_{1}+x_{2}+x_{3}+\cdots +x_{n}}{n}}} \)
Arithmetic Mean (A.M) =
Arithmetic Mean is highly affected by the presence of outliers or when observations follow non-Gaussian distribution.
Geometric mean of a set of n observations is the n-th root of their product.
If are n observations then:
Geometric Mean (G.M) =
Geometric Mean (G.M) =
Geometric mean is used when the data contains different units or when relative changes rather than absolute values is our interest.
Harmonic mean of a set of n observations is the reciprocal of the arithmetic mean of their reciprocals.
If are n observations then:
Harmonic Mean (H.M) = \( {\frac {1}{\begin{array}{l}{\frac{1}{n}[\frac{1}{x_{1}}+\frac{1}{x_{2}}+\frac{1}{x_{3}}+……………+\frac{1}{x_{n}}]}\end{array}}}} \)
Harmonic Mean (H.M) =\( {\frac {1}{\begin{array}{l}{\frac{1}{n}}[{\sum_{i=1}^{n}\frac{1}{x_{i}}]}\end{array}}}} \)
Harmonic mean is used in situations like when the data is in the form of rates.
Arithmetic mean of a set of n observations is the sum of the values of the observations, divided by the number of observations. Geometric mean of a set of n observations is the n-th root of their product. Harmonic mean of a set of n observations is the reciprocal of the arithmetic mean of their reciprocals.