Analysing grouped frequency tables

When data is grouped into classes – like height ranges or time intervals – we lose the exact values, but we can still estimate the mean, median, and mode. These estimates help us understand the typical or average values in large data sets, which is especially useful in real-world situations like analysing survey results, planning bus timetables, or tracking fitness progress. Jump to the questions

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