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When missing data points are randomly distributed, imputing values using the mean (for continuous data) or median (for skewed distributions) can be an effective technique. This approach maintains the dataset’s overall structure and helps reduce potential bias introduced by missing values. By substituting missing values with central tendencies, analysts can preserve statistical relationships without significantly distorting the data, ensuring a more accurate analysis. Option A is incorrect as removing rows may lead to a significant data loss, especially if many rows contain missing values. Option C is incorrect because dropping columns with missing values reduces feature dimensions, potentially discarding useful information. Option D is incorrect as placeholder values can introduce bias or mislead analysis, especially if the placeholder value skews the distribution. Option E is incorrect because ignoring missing values leaves gaps, making it difficult to perform accurate analysis.
Match the following:
After the stage of sheet erosion, what is the term used to describe the formation of small, finger-like channels on the soil surface?
Match the following:
One hectare Centimetre (1 ha cm) of water equals to
Which one of the following is the number of AERs in India as per NBSS & LUP?
The principle of “Unity” in landscape design is best achieved through:
According to the mobility of element in soil; which of the following is considered as Immobile in soil.
Which of the following statements is/are true?
Statement A: Mica and biotite are the secondary minerals but also act as primary minerals.
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Judicious removal of plant part to obtain better and qualitative yield is termed as
What is the purpose of puddling done in paddy cultivation?