Equal-share meaning
Add all observations and divide the total equally among them.
Handwritten-style notes for SSC CGL Tier I and Tier II.
An average replaces unequal observations with one equal share while preserving the total.
Start with total and count; every advanced average problem is an adjustment to one of them.
Add all observations and divide the total equally among them.
The mean of \(2,4,9\) is \(5\), even though \(5\) is not in the list.
All values need compatible units. For real observations:
Move surplus from values above the mean to values below it. The total stays unchanged, and every column reaches the same height.
Total sits above average and count because it is their product. The other two are obtained by division.
Their combined total is
Extra information is needed to split that total.
Here \(r\) values are removed.
When values occur with different frequencies or importance, each value contributes in proportion to its weight.
Weights must represent comparable counts or stated importance.
If \(x_i\) occurs \(f_i\) times:
A weighted average lies between the component values and leans toward the value carrying the larger positive weight.
Multiply each group average by its group size first.
Only when \(n_1=n_2=\cdots\), the combined average equals the simple average of group averages.
Each group average hides a total. Reconstruct every group total, add totals and divide by the combined count.
The count remains \(n\).
| Event | Change in total | Change in count | Fast relation |
|---|---|---|---|
| Add one item | \(+y\) | \(+1\) | \((n+1)\bar x'=n\bar x+y\) |
| Remove one item | \(-y\) | \(-1\) | \((n-1)\bar x'=n\bar x-y\) |
| Replace one item | \(y-x\) | \(0\) | \(n(\bar x'-\bar x)=y-x\) |
| Add \(m\) items with mean \(a\) | \(+ma\) | \(+m\) | \((n+m)\bar x'=n\bar x+ma\) |
| Remove \(m\) items with mean \(a\) | \(-ma\) | \(-m\) | \((n-m)\bar x'=n\bar x-ma\) |
With the count fixed at \(n\), increasing total by \(D\) raises the average by \(D/n\). Replacement questions are fastest through this total-difference view.
If wrong \(w\) should be correct \(c\):
The number of observations remains unchanged.
Write each observation as \(x_i=A+d_i\).
Positive and negative deviations cancel partially, reducing arithmetic.
If \(d_i=(x_i-A)/h\):
When values cluster around a convenient number, work with small signed deviations and add their average back to the assumed mean.
For equally spaced terms, the average is the midpoint of the first and last.
The middle term equals the average.
Count is \(n-m+1\).
| Sequence | Count | Average |
|---|---|---|
| First \(n\) natural numbers | \(n\) | \((n+1)/2\) |
| First \(n\) odd numbers | \(n\) | \(n\) |
| First \(n\) even numbers | \(n\) | \(n+1\) |
| Multiples \(d,2d,\ldots,nd\) | \(n\) | \(d(n+1)/2\) |
| Arithmetic progression | \(n\) | \((a_1+a_n)/2\) |
After \(t\) years, every one of \(n\) people gains \(t\), so
Births, deaths or membership changes alter the count and need total adjustment.
Required score to reach target mean \(A\) after \(n\) performances:
Here \(B\) is the previous mean.
Use weighted means when quantities purchased, people, months or frequencies differ.
Average speed is always total distance divided by total time.
For equal distances: \(2v_1v_2/(v_1+v_2)\); for equal times: \((v_1+v_2)/2\).
A simple mean of means is valid only when underlying group sizes are equal. Otherwise use the group sizes as weights.
Think in changes to total; this avoids repeatedly rebuilding long sums.
If group means \(a_1,a_2\) combine to \(A\), their sizes satisfy
To raise an average, the incoming value must exceed the target mean; the exact surplus repairs the old total deficit.
Pick a central round number, add signed deviations, divide by count and correct the assumed mean.
Check count, reconstruct total, record the change in total, then test whether the answer lies between valid extremes.
Wrong options usually average averages directly, forget a changed count, or adjust the mean instead of the total.
Do not simply average group means unless group sizes are equal. Rebuild totals with \(n_ia_i\).
When a value enters or leaves, both total and count change. Replacement changes total but keeps count fixed.
Use total distance divided by total time. Arithmetic mean works directly only for equal time intervals.
Attach each average rule to a visual sentence for instant exam recall.
Redistribution changes individual values but preserves their combined sum.
Average equals total divided by count; total equals average times count.
A combined mean moves closer to the average of the larger group.
With fixed count, divide the change in total by the number of items.
For an arithmetic progression, average is the midpoint of first and last.
Correction changes total by correct minus wrong; the count remains unchanged.