Tables compress data but preserve structure
Grouped data replace individual observations with intervals and frequencies. Every later formula depends on reading these columns precisely.
Grouped data replace individual observations with intervals and frequencies. Every later formula depends on reading these columns precisely.
An observation is a recorded value or class; its frequency is the number of occurrences. Total frequency N is the sum of all frequencies.
For limits a-b, class mark=(a+b)/2. Class width uses continuous boundaries; inclusive intervals may need boundary adjustment before median or mode work.
Ordinary frequency belongs to one class. Less-than cumulative frequency is a running total through that class; it never decreases and ends at N.
Use mean for an arithmetic balance point, median for the middle ordered position and mode for the most frequent value or class. State the context meaning, not only the name.
For exclusive and inclusive interval tables, identify lower/upper limits, boundaries, width and midpoint, checking that midpoint is equidistant from both boundaries.
Add each new class frequency to the previous cumulative total; verify monotonicity and confirm the final cumulative frequency equals N.
Match real-life statements to balance point, middle position or most frequent outcome and explain why the other measures answer different questions.
Annotate a grouped table with class marks for mean, ordinary-frequency peak for mode and cumulative frequencies for median, then explain each column's role.
Name the requested class quantity exactly: modal class uses largest ordinary frequency; median class uses N/2 and cumulative frequency; class mark is the midpoint.
Label interval anatomy, construct cumulative frequency, identify the modal and median classes, and choose a suitable central measure for a context.