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Sampling is vital in data analysis because it allows analysts to work with a manageable subset of data that still reflects the characteristics of the larger population. By selecting a representative sample, analysts can draw insights without processing the entire dataset, reducing computational complexity and resource usage. In large datasets, analyzing every data point can be impractical or even impossible due to storage or processing limitations. Sampling enables efficient data analysis by focusing on a smaller, statistically representative portion, which speeds up the analysis process and makes it more cost-effective. Option A is incorrect because sampling decreases the data volume rather than increasing it. Option B is incorrect as sampling involves selecting a subset, not including all data points. Option D is incorrect since sampling does not replace preprocessing steps like data cleaning. Option E is incorrect because while sampling can reduce bias, it does not guarantee a completely unbiased dataset.
One who is selflessly concerned with welfare of others
Price stability exist when average prices are constant over time, or when they are rising at a very low and predictable rate.
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Parts of the following sentence are given as options. Identify the segment that contains a grammatical error.
Bhanu finished to read such a thi...