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A grouped frequency distribution is preferred when dealing with large data sets containing many unique values, as grouping makes it easier to identify patterns and trends. In contrast, ungrouped frequency distributions are more suitable for smaller data sets with fewer, distinct values.
Grouped frequency distribution is preferred for large datasets to simplify analysis and highlight patterns. It is especially useful for continuous data, as it summarizes ranges of values meaningfully. When data shows significant variation, grouping helps in identifying trends and central tendencies. Additionally, grouped data provides clearer visual representations for graphs, making it easier to convey information.