Concept understanding — Measures of Central Tendency
Measures of central tendency are single values that summarise the centre of a data set. The three mathematical averages are the arithmetic mean (AM), geometric mean (GM) and harmonic mean (HM); the two positional averages are the median and mode.
Each average captures "the typical value" differently — pick the one that suits the data, and use the fixed inequality between AM, GM and HM to sanity-check answers.
How it works
The arithmetic mean adds and divides; the geometric mean multiplies and takes a root (ideal for ratios and growth rates); the harmonic mean handles rates like speed. The median is the middle value in order, and the mode is the most frequent value — both unaffected by extreme outliers.
For two positive numbers a neat identity ties the three mathematical means together, so any two of them determine the third.
For two positive numbers a and b:
AM=2a+b,GM=ab,HM=a+b2ab,GM2=AM×HM.
Key properties
AM≥GM≥HM for any set of positive values, with equality only when all values are equal.
The identity GM2=AM×HM holds exactly for two observations.
Median and mode ignore extreme values; the arithmetic mean does not.
The modal class is simply the class with the highest frequency; the exact mode within it is then found by a formula that leans the estimate toward whichever neighbouring class has more students. …
The highest frequency is 15, in the class 20-30 — this is the modal class, with L=20, f1=15 (modal class frequency), f0=8 (preceding class frequency), f2=12 (succeeding class frequency), h=10.
Swapping f0 and f2 (using the succeeding class's frequency where the preceding class's frequency belongs, or vice versa) — f0 is always the class immed …