RESEARCH METHODOLOGY

METHODS OF DATA ANALYSIS

MEASURES OF DISPERSION

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Chebyshev’s Theorem states that regardless the shape of the distribution, at least
A
true
B
false
C
Either A or B
D
None of the above
Explanation: 

Detailed explanation-1: -Chebyshev’s Theorem states that the proportion of values is at least 1-1/k2. What is the meaning of k? k is the number of standard deviations, greater than 1, within which that proportion of observations will be found.

Detailed explanation-2: -Chebyshev’s inequality says that at least 1-1/K2 of data from a sample must fall within K standard deviations from the mean (here K is any positive real number greater than one). Any data set that is normally distributed, or in the shape of a bell curve, has several features.

Detailed explanation-3: -Chebyshev’s Theorem: (1−1k2)×100 ( 1 − 1 k 2 ) × 100, where k equals the number of standard deviations; k must be >1. So, the minimum proportion of observations falling within 3 standard deviations is 88.9%.

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