ExamShortcut
high importance~3 Q in Tier 120 formulas⚑ 10 shortcuts5 subtopics

Mean, median, mode and simple dispersion: raw-data medians, the mode = 3Β·median βˆ’ 2Β·mean relation, grouped-data formulas, range and SD with shift-scale effects. Every question is formula-driven with small numbers β€” statistics is among the most scoring blocks in the Quant paper once the six formulas above are memorised.

Track record in the exam

avg 1.0 Q / shift2024: 1 Q2025: 1 Q

Questions per shift in recent SSC CGL papers.

Test difficulty mix (68 questions)

24 easy30 medium14 hard

Question patterns exams keep repeating

Taken from previous-year papers. If a pattern is marked "very common", expect to see it in your exam.

Combined average of two groups

very common
Spot it:

Two classes/teams/genders with different sizes and averages merge into one.

How to solve: Weighted mean n1xˉ1+n2xˉ2n1+n2\frac{n_1\bar{x}_1 + n_2\bar{x}_2}{n_1+n_2}; equal sizes → plain average of the means.

Example: 30 boys average 62 kg and 20 girls average 58 kg. The class average is:

30Γ—62+20Γ—5850=60.4\frac{30 \times 62 + 20 \times 58}{50} = 60.4 kg.

Learn this in β€œMean, weighted mean and combined mean” β†’

Member joins / leaves / replaced

very common
Spot it:

A new batsman, teacher or watch changes the group average by a stated amount.

How to solve: Work in totals: newcomer =b+n(bβˆ’a)= b + n(b-a); leaver =a+n(aβˆ’b)= a + n(a-b); replacement carries nΓ—n \times the shift.

Example: 24 students average 35 kg; with the teacher it rises 0.5 kg. The teacher's weight is:

35+25Γ—0.5=47.535 + 25 \times 0.5 = 47.5 kg.

Learn this in β€œMean, weighted mean and combined mean” β†’

Empirical 3M relation

very common
Spot it:

Two of mean/median/mode given (often clean integers), the third asked.

How to solve: mode=3 medianβˆ’2 mean\text{mode} = 3\,\text{median} - 2\,\text{mean}; rearrange for whichever is missing.

Example: Median 32, mean 30. The mode is:

3Γ—32βˆ’2Γ—30=363 \times 32 - 2 \times 30 = 36.

Learn this in β€œMedian and mode of raw data” β†’

Median/mode of grouped data

common
Spot it:

A frequency table with class intervals; sometimes a missing frequency to solve for.

How to solve: cf column β†’ median class β†’ L+n/2βˆ’cffhL + \frac{n/2 - cf}{f}h; tallest frequency β†’ mode formula.

Example: Frequencies 4, 6, 10, 8, 2 over classes 0-10...40-50. The median is:

20+15βˆ’1010Γ—10=2520 + \frac{15-10}{10} \times 10 = 25.

Learn this in β€œMedian and mode of grouped data” β†’

Effect of scaling on mean and SD

common
Spot it:

'Each value is multiplied/divided and then shifted; find the new mean/SD/median.'

How to solve: Mean and median scale by aa then shift by bb; SD only scales by ∣a∣|a| β€” the shift never enters.

Example: SD is 7; each value is tripled and 5 added. The new SD is:

3Γ—7=213 \times 7 = 21.

Learn this in β€œRange, variance and standard deviation” β†’

Averages of consecutive / special series

common
Spot it:

First n naturals/squares/cubes, consecutive odds/evens, AP terms.

How to solve: AP β†’ middle term; squares/cubes β†’ closed-form sums Γ· n; cubes sum = (naturals sum)Β².

Example: The mean of the squares of the first 10 naturals is:

11Γ—216=38.5\frac{11 \times 21}{6} = 38.5.

Learn this in β€œAverages of special series” β†’

Raise-the-average / innings problems

common
Spot it:

'How many runs in the next innings to raise the average to X?'

How to solve: Needed = new total βˆ’ old total =(n+1)Xβˆ’nxΛ‰= (n+1)X - n\bar{x}, i.e. X+n(Xβˆ’xΛ‰)X + n(X - \bar{x}).

Example: Averaging 45 over 8 innings; score in the 9th to average 50:

450βˆ’360=90450 - 360 = 90.

Learn this in β€œMean, weighted mean and combined mean” β†’

Misrecorded value corrections

occasional
Spot it:

A value was wrongly recorded; the corrected mean (or SD) asked.

How to solve: Correct the total by (true βˆ’ recorded); mean shifts by errorn\frac{\text{error}}{n}. For SD, correct βˆ‘x2\sum x^2 too.

Example: Average of 30 results was 20; 24 was recorded as 21. The corrected average is:

600+330=20.1\frac{600 + 3}{30} = 20.1.

Learn this in β€œMean, weighted mean and combined mean” β†’

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