Partition values have application only in theory but not in practice.
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Explanation:
in practical life, it is not always possible that we have observations that are divisible in equal parts, such as having an odd number of observations.
Partition values: The variate values dividing the total number of observations into equal number of parts is known as partition values. The equal parts may be two, four, ten or hundred. Quartiles are the values dividing the whole observations into 4 equal parts.
Now in practical life, it is not always possible that we have observations that are divisble in equal parts, such as having an odd number of observations or only a single observation.
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In Statistics,partition value is predominantly a theoretical concept which has limited or partial application in actual practice.
Explanation:
- In Statistics,partition value basically refers to the division of total number of items or observations within a a particular data distribution into identical or equal number of partitions or parts.
- However,note that that if a distribution contains odd number of items or observations,then it cannot be divided into equal number of partitions or parts.
- In real or practical world,there can be many distributions consisting of odd number of observations,depending on the sample size chosen or selected by the researcher for statistical or research purposes, where the concept of partition value is not applicable.Therefore, partition value is practically contingent on the nature of the data distribution and the overall or total number of observations or items contained in it.
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