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Frequency distribution is important in statistics because it organizes data, making it easier to see patterns, trends, and insights at a glance.
Frequency distribution is important in statistics because it provides a clear summary of data, showing how often each value occurs. This helps in visualizing the data's shape, identifying patterns, and assessing central tendency and variability. It facilitates comparison between different datasets or groups, allowing statisticians to uncover trends and anomalies. Overall, it forms the basis for further statistical analysis and interpretation, enabling informed decision-making.