μ' (r) and μ' rrepresent the factorial moment of order r about the origin and r th moment about the origin of the distribution x i|f i, i = 1, 2, … n. The value of μ' 2equals to:
μ'(2) + μ'(1)
The r-th moment about the origin is \(\mu'_r = \dfrac{\sum x_i^r f_i}{N}\), and the r-th factorial moment uses the falling factorial \(x^{(r)} = x(x-1)\cdots(x-r+1)\), giving \(\mu'_{(r)} = \dfrac{\sum x_i^{(r)} f_i}{N}\).
For r = 2, \(x^{(2)} = x(x-1) = x^2 - x\), so:
\[\mu'_{(2)} = \dfrac{\sum(x_i^2 - x_i)f_i}{N} = \mu'_2 - \mu'_1\]
Since \(\mu'_1 = \mu'_{(1)}\), rearranging gives \[\mu'_2 = \mu'_{(2)} + \mu'_{(1)}\]
Hence the answer is \(\mu'_{(2)} + \mu'_{(1)}\).
The first four moments of a distribution about the value 2 are 1, 2.5, 5.5 and 16. What is the 4th moment about zero?
Given below are moments about an arbitrary origin 5.
If μ'1 = -4, μ'2 = 22, μ'3 = -117 and μ'4 = 560, then μ3 is equal to:
The third order central moment of normal distribution is:
If μ'r and μr, respectively, denote rth order moments about origin and mean, then:
The standard deviation of a symmetrical distribution is 3. What must be the value of the fourth moment about the mean for the distribution to be mesokurtic?
The first four moments of a distribution about the value 2 are 1, 2.5, 5.5 and 16. What is the 4th moment about zero?
Given below are moments about an arbitrary origin 5.
If μ'1 = -4, μ'2 = 22, μ'3 = -117 and μ'4 = 560, then μ3 is equal to:
The third order central moment of normal distribution is:
If μ'r and μr, respectively, denote rth order moments about origin and mean, then:
The standard deviation of a symmetrical distribution is 3. What must be the value of the fourth moment about the mean for the distribution to be mesokurtic?