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4.2 Averages, Change in Average, Batsman/Bowling Averages & Replacement Problems

Key Takeaways

  • The arithmetic mean balances total aggregate over population count (A = Sum(x) / n); applying the assumed mean deviation method eliminates multi-digit arithmetic.

  • Weighted average A_w = Sum(n_i * A_i) / Sum(n_i) accounts for varying sub-group sizes, establishing the mathematical foundation for sectional train speeds and gradient averages.

  • In replacement, inclusion, or exclusion scenarios, the net deviation formula isolates individual values directly from cohort counts and average shifts without recalculating total sums.

  • Cricket batting averages divide total runs by dismissals (excluding not-out innings), whereas bowling averages measure runs conceded per wicket taken (lower is superior).

  • Average speed over equal distances is governed by the harmonic mean (2v1v2 / (v1 + v2)); equal travel durations justify the unweighted arithmetic mean.

Last updated: October 2026

The Arithmetic Mean and the Assumed Mean Method

The Standard Formulation

The arithmetic mean (commonly referred to simply as the average) of a set of nn numerical observations x1,x2,…,xnx_1, x_2, \dots, x_n is the ratio of their sum to the total count:

A=∑i=1nxin=x1+x2+⋯+xnnA = \frac{\sum_{i=1}^{n} x_i}{n} = \frac{x_1 + x_2 + \dots + x_n}{n} ∑i=1nxi=n×A  ⟺  Total Sum=Number of Observations×Average\mathbf{\sum_{i=1}^{n} x_i = n \times A \iff \text{Total Sum} = \text{Number of Observations} \times \text{Average}}

The Fundamental Zero-Deviation Principle

The algebraic sum of the deviations of all observations from their true arithmetic mean is always identically zero:

∑i=1n(xi−A)=0\mathbf{\sum_{i=1}^{n} (x_i - A) = 0}

The Assumed Mean (Deviation) Shortcut Method

When calculating the average of large, closely grouped numbers (e.g., train speeds between 7878 and 94 km/h94\text{ km/h}, or station delay minutes between 140140 and 175 min175\text{ min}), summing multi-digit figures introduces arithmetic error. Instead, choose a convenient central benchmark called the assumed mean (A0A_0):

  1. Define deviation for each value: di=xi−A0d_i = x_i - A_0.
  2. Calculate the average of the small deviations: dˉ=∑din\bar{d} = \frac{\sum d_i}{n}.
  3. Compute the true average:
A=A0+∑i=1ndin\mathbf{A = A_0 + \frac{\sum_{i=1}^{n} d_i}{n}}
Observation (Delay in min)Benchmark (A0=160A_0 = 160)Deviation (di=xi−160d_i = x_i - 160)
Station A: 164164160160+4+4
Station B: 158158160160−2-2
Station C: 172172160160+12+12
Station D: 155155160160−5-5
Station E: 161161160160+1+1
Sum / MeanDirect Sum = 810∑di=+10  ⟹  dˉ=+10/5=+2\sum d_i = +10 \implies \bar{d} = +10 / 5 = +2
True Average810/5=162 min810 / 5 = 162\text{ min}160+2=162 min160 + 2 = \mathbf{162\text{ min}}

Weighted Average and Sub-Group Aggregation

When combining distinct groups of observations with different sizes and averages, simple averaging of averages produces incorrect results. One must compute the weighted average (AwA_w):

Aw=n1A1+n2A2+⋯+nkAkn1+n2+⋯+nk=∑niAi∑niA_w = \frac{n_1 A_1 + n_2 A_2 + \dots + n_k A_k}{n_1 + n_2 + \dots + n_k} = \frac{\sum n_i A_i}{\sum n_i}

Two-Group Algebraic Balance

For two sub-groups of sizes n1n_1 and n2n_2 with averages A1A_1 and A2A_2 (where A1<Aw<A2A_1 < A_w < A_2):

Aw=n1A1+n2A2n1+n2A_w = \frac{n_1 A_1 + n_2 A_2}{n_1 + n_2} n1(Aw−A1)=n2(A2−Aw)n_1 (A_w - A_1) = n_2 (A_2 - A_w) n1n2=A2−AwAw−A1\mathbf{\frac{n_1}{n_2} = \frac{A_2 - A_w}{A_w - A_1}}

Note

This inverse ratio of group sizes to average deviations is the exact mathematical foundation of the Rule of Alligation examined in Section 4.3.


Replacement Problems (Constant Group Size)

In railway operations, replacement scenarios occur frequently: a worn coach in a rake is replaced by a newly overhauled coach, or a retiring gangman is replaced by a young recruit. Because the total number of entities nn remains constant, evaluating total sums is unnecessary.

Replacement Dynamics (n is Constant):
Old Member (V_out) Leaves   ---> Group Sum Drops by V_out
New Member (V_in) Enters    ---> Group Sum Increases by V_in
Net Change in Sum = V_in - V_out = n * (Delta A)

The Replacement Theorem

Let a person of weight/value VoutV_{\text{out}} leave a group of nn members, and a new person of weight/value VinV_{\text{in}} enter. If the average of the group shifts by ΔA=Anew−Aold\Delta A = A_{\text{new}} - A_{\text{old}}:

Net Sum Change=Vin−Vout=n×ΔA\text{Net Sum Change} = V_{\text{in}} - V_{\text{out}} = n \times \Delta A Vin=Vout+(n×ΔA)\mathbf{V_{\text{in}} = V_{\text{out}} + (n \times \Delta A)}

Use the signed change ΔA=Anew−Aold\Delta A=A_{\text{new}}-A_{\text{old}} directly. A decrease already makes it negative; do not subtract that negative value a second time.

Multi-Person Simultaneous Replacement

When two or more members are replaced simultaneously:

∑Vin=∑Vout+(n×ΔA)\mathbf{\sum V_{\text{in}} = \sum V_{\text{out}} + (n \times \Delta A)} Average of New Entrants=∑Vink(k=number of entrants)\text{Average of New Entrants} = \frac{\sum V_{\text{in}}}{k} \quad (k = \text{number of entrants})

Addition (Inclusion) and Departure (Exclusion) Dynamics

Unlike replacement, inclusion and exclusion alter the total population count nn.

1. Inclusion (A New Member Joins)

An initial cohort of nn members has an average A1A_1. A new member of value VnewV_{\text{new}} joins, increasing the cohort to (n+1)(n + 1) and changing the average to A2A_2:

New Sum=(n+1)A2=nA1+Vnew\text{New Sum} = (n + 1) A_2 = n A_1 + V_{\text{new}} Vnew=(n+1)A2−nA1=A2+n(A2−A1)V_{\text{new}} = (n + 1) A_2 - n A_1 = A_2 + n(A_2 - A_1) Vnew=A1+(n+1)×(A2−A1)\mathbf{V_{\text{new}} = A_1 + (n + 1) \times (A_2 - A_1)}

Shortcut Interpretation: The newcomer must provide the old average A1A_1, plus sufficient additional value to raise all (n+1)(n + 1) members by the increment (A2−A1)(A_2 - A_1).

2. Exclusion (A Member Leaves)

An initial cohort of nn members has average A1A_1. One member of value VleftV_{\text{left}} leaves, reducing the cohort to (n−1)(n - 1) and changing the average to A2A_2:

New Sum=(n−1)A2=nA1−Vleft\text{New Sum} = (n - 1) A_2 = n A_1 - V_{\text{left}} Vleft=nA1−(n−1)A2=A1+(n−1)(A1−A2)V_{\text{left}} = n A_1 - (n - 1) A_2 = A_1 + (n - 1)(A_1 - A_2) Vleft=A1−(n−1)×(A2−A1)\mathbf{V_{\text{left}} = A_1 - (n - 1) \times (A_2 - A_1)}

Cricket Performance Metrics: Batting and Bowling Averages

Sports performance indices appear regularly on RRB competitive exams as practical tests of weighted averages and division nuances.

Batting Average Mechanics

A batsman's average is defined strictly as total runs scored divided by the number of times dismissed (completed innings):

Batting Average=Total Runs ScoredTotal Innings Dismissed (Out)=Total RunsTotal Innings−Not Out Innings\mathbf{\text{Batting Average} = \frac{\text{Total Runs Scored}}{\text{Total Innings Dismissed (Out)}} = \frac{\text{Total Runs}}{\text{Total Innings} - \text{Not Out Innings}}}

Important

An inning in which the batsman remains Not Out adds runs to the numerator but does NOT increment the denominator. If a batsman scores 400 runs across 10 innings with 2 Not Out innings, his batting average is 40010−2=4008=50.0 runs/wicket\frac{400}{10 - 2} = \frac{400}{8} = 50.0\text{ runs/wicket}, NOT 40.040.0.

The Milestone Increment Formula

If a batsman has been dismissed nn times, scores RR in a further innings in which he is dismissed, and raises his batting average from AA to (A+k)(A+k):

(n+1)(A+k)=nA+R(n + 1)(A + k) = n A + R nA+nk+A+k=nA+Rn A + n k + A + k = n A + R R=A+(n+1)k  ⟺  A=R−(n+1)k\mathbf{R = A + (n + 1)k \iff A = R - (n + 1)k}

Bowling Average Mechanics

A bowler's average measures runs conceded per wicket taken:

Bowling Average=Total Runs ConcededTotal Wickets Taken\mathbf{\text{Bowling Average} = \frac{\text{Total Runs Conceded}}{\text{Total Wickets Taken}}} Bowling Strike Rate=Total Balls BowledTotal Wickets Taken,Economy Rate=Total Runs ConcededTotal Overs Bowled\text{Bowling Strike Rate} = \frac{\text{Total Balls Bowled}}{\text{Total Wickets Taken}}, \quad \text{Economy Rate} = \frac{\text{Total Runs Conceded}}{\text{Total Overs Bowled}}

Warning

Exam Trap in Bowling Performance: For a batsman, an increase in average signifies improvement. For a bowler, a lower average is better. Therefore, if an exam question states that a bowler's average "improves by 0.40.4 runs per wicket", the numerical value decreases:

Anew=Aold−0.4A_{\text{new}} = A_{\text{old}} - 0.4

Kinematic Speed Averages: Harmonic vs. Arithmetic Mean

When a train travels across multiple track segments at varying speeds, the overall average speed depends on whether the segments share equal distances or equal travel times.

Case 1: Equal Distances Traversed (Harmonic Mean)

When a train traverses two equal distances dd at speeds v1v_1 and v2v_2:

Average Speed=Total DistanceTotal Time=2ddv1+dv2=2v1v2v1+v2\text{Average Speed} = \frac{\text{Total Distance}}{\text{Total Time}} = \frac{2d}{\frac{d}{v_1} + \frac{d}{v_2}} = \mathbf{\frac{2 v_1 v_2}{v_1 + v_2}}

For three equal distances dd at speeds v1,v2,v3v_1, v_2, v_3:

Savg=3v1v2v3v1v2+v2v3+v3v1\mathbf{S_{\text{avg}} = \frac{3 v_1 v_2 v_3}{v_1 v_2 + v_2 v_3 + v_3 v_1}}

Case 2: Equal Time Durations Traversed (Arithmetic Mean)

When a train runs for equal time durations tt at speeds v1v_1 and v2v_2:

Average Speed=v1t+v2t2t=v1+v22\text{Average Speed} = \frac{v_1 t + v_2 t}{2t} = \mathbf{\frac{v_1 + v_2}{2}}
Kinematic ConditionGoverning MetricMathematical Expression
Distance d1=d2d_1 = d_2Harmonic MeanSavg=2v1v2v1+v2S_{\text{avg}} = \frac{2 v_1 v_2}{v_1 + v_2}
Time t1=t2t_1 = t_2Arithmetic MeanSavg=v1+v22S_{\text{avg}} = \frac{v_1 + v_2}{2}
3 Equal Distances3-Way Harmonic MeanSavg=3v1v2v3v1v2+v2v3+v3v1S_{\text{avg}} = \frac{3 v_1 v_2 v_3}{v_1 v_2 + v_2 v_3 + v_3 v_1}

Comprehensive Worked Operational Problems

Worked Problem 1: Replacement in Sectional Track Maintenance Gang

Scenario: A permanent way maintenance unit comprises 24 track gangmen. When one senior gangman weighing 58 kg retires and is replaced by a newly recruited track maintainer, the average weight of the 24-member gang increases by 1.25 kg. Calculate the weight of the newly recruited track maintainer.

Step-by-Step Mathematical Resolution:

  1. Identify the Given Parameters:

    • Cohort size (nn) =24= 24
    • Weight of retiring member (VoutV_{\text{out}}) =58 kg= 58\text{ kg}
    • Change in average (ΔA\Delta A) =+1.25 kg= +1.25\text{ kg}
  2. Apply the Replacement Theorem:

Vin=Vout+(n×ΔA)V_{\text{in}} = V_{\text{out}} + (n \times \Delta A) Vin=58+(24×1.25)V_{\text{in}} = 58 + (24 \times 1.25)
  1. Compute the Product:
24×1.25=24×54=6×5=30 kg24 \times 1.25 = 24 \times \frac{5}{4} = 6 \times 5 = 30\text{ kg}
  1. Calculate Final Weight:
Vin=58+30=88 kgV_{\text{in}} = 58 + 30 = 88\text{ kg}
  1. Verification via Total Sum: Let old sum be SS. Old average A=S24A = \frac{S}{24}. New sum S′=S−58+88=S+30S' = S - 58 + 88 = S + 30. New average A′=S+3024=A+3024=A+1.25 kg (verified)A' = \frac{S + 30}{24} = A + \frac{30}{24} = A + 1.25\text{ kg (verified)}.

Worked Problem 2: Batsman Milestone Century Inning

Scenario: In a railway zonal inter-divisional cricket tournament, a locomotive pilot plays his 17th17^{\text{th}} tournament inning and scores 85 runs. This knock increases his career batting average by 3 runs per inning. Assuming he was dismissed in all 17 innings, calculate:

  1. His batting average prior to the 17th17^{\text{th}} inning.
  2. His batting average after the 17th17^{\text{th}} inning.

Step-by-Step Mathematical Resolution:

  1. Define the Variables: Let the average after 16 completed innings be AA.

    • Total runs after 16 innings =16A= 16 A
    • Runs in 17th17^{\text{th}} inning =85= 85
    • New average after 17 innings =A+3= A + 3
    • Total runs after 17 innings =17(A+3)= 17(A + 3)
  2. Formulate the Algebraic Equality:

17(A+3)=16A+8517(A + 3) = 16 A + 85 17A+51=16A+8517 A + 51 = 16 A + 85
  1. Isolate AA:
17A−16A=85−5117 A - 16 A = 85 - 51 A=34 runs per inning (prior average)A = 34\text{ runs per inning (prior average)}
  1. Compute New Batting Average:
Anew=A+3=34+3=37 runs per inningA_{\text{new}} = A + 3 = 34 + 3 = 37\text{ runs per inning}
  1. Rapid Exam Shortcut Verification:
Anew=Latest Score−(nprior×ΔA)A_{\text{new}} = \text{Latest Score} - (n_{\text{prior}} \times \Delta A) Anew=85−(16×3)=85−48=37A_{\text{new}} = 85 - (16 \times 3) = 85 - 48 = 37 Aold=37−3=34A_{\text{old}} = 37 - 3 = 34

Worked Problem 3: Locomotive Speed Harmonic Mean Over Sectional Loop Runs

Scenario: A diesel-electric locomotive runs an inspection circuit divided into three equal consecutive track sections of 120 km each. The locomotive traverses the first section at 60 km/h60\text{ km/h}, the second section at 40 km/h40\text{ km/h}, and the third section at 30 km/h30\text{ km/h}. Calculate the average speed of the locomotive across the entire 360 km journey.

Step-by-Step Mathematical Resolution:

  1. Identify the Equal Distance Condition: Because all three sections are of equal length (d=120 kmd = 120\text{ km}), the average speed is the harmonic mean of the three speeds:
v1=60 km/h,v2=40 km/h,v3=30 km/hv_1 = 60\text{ km/h}, \quad v_2 = 40\text{ km/h}, \quad v_3 = 30\text{ km/h}
  1. Apply the 3-Way Harmonic Mean Formula:
Savg=31v1+1v2+1v3=3160+140+130S_{\text{avg}} = \frac{3}{\frac{1}{v_1} + \frac{1}{v_2} + \frac{1}{v_3}} = \frac{3}{\frac{1}{60} + \frac{1}{40} + \frac{1}{30}}
  1. Determine the Common Denominator:
LCM(60,40,30)=120\text{LCM}(60, 40, 30) = 120 160+140+130=2+3+4120=9120=340\frac{1}{60} + \frac{1}{40} + \frac{1}{30} = \frac{2 + 3 + 4}{120} = \frac{9}{120} = \frac{3}{40}
  1. Compute Final Harmonic Speed:
Savg=3340=3×403=40 km/hS_{\text{avg}} = \frac{3}{\frac{3}{40}} = 3 \times \frac{40}{3} = 40\text{ km/h}
  1. Verification via Time Summation:
    • Time for Section 1: t1=12060=2 hourst_1 = \frac{120}{60} = 2\text{ hours}
    • Time for Section 2: t2=12040=3 hourst_2 = \frac{120}{40} = 3\text{ hours}
    • Time for Section 3: t3=12030=4 hourst_3 = \frac{120}{30} = 4\text{ hours}
    • Total Time: 2+3+4=9 hours2 + 3 + 4 = 9\text{ hours}
    • Total Distance: 120+120+120=360 km120 + 120 + 120 = 360\text{ km}
    • Average Speed: 3609=40 km/h (exact match)\frac{360}{9} = 40\text{ km/h (exact match)}.

Common Exam Traps & Operational Pitfalls

Trap DescriptionErroneous ApproachCorrect Examination Protocol
Arithmetic Averaging of SpeedsCalculating (60+40+30)/3=43.33 km/h(60 + 40 + 30)/3 = 43.33\text{ km/h} over equal distancesAlways use Harmonic Mean 3∑(1/vi)\frac{3}{\sum (1/v_i)} when distances are equal. Equal times justify the unweighted arithmetic mean.
Bowling Average Direction InversionAdding improvement value: Anew=Aold+ΔA_{\text{new}} = A_{\text{old}} + \DeltaBowler improvement reduces average: Anew=Aold−ΔA_{\text{new}} = A_{\text{old}} - \Delta. Lower is superior.
Inclusion Denominator ErrorMultiplying delta by old cohort size nn instead of new size (n+1)(n+1)An incoming member spreads surplus across all (n+1)(n+1) individuals.
Not-Out Inning InclusionDividing runs by total matches rather than completed dismissalsExclude Not Out innings from the denominator of batting averages.
Test Your Knowledge

A bowler has an average of 12.4 runs per wicket. In his next match, he takes 5 wickets for 26 runs, which improves his bowling average by 0.4 runs per wicket. How many wickets had he taken prior to this match?

A

75

B

80

C

85

D

90

Test Your Knowledge

The average age of 8 railway section officers is increased by 2 years when two officers aged 21 years and 23 years are replaced by two newly appointed probationary officers. What is the average age of the two new officers?

A

26 years

B

28 years

C

32 years

D

30 years

Test Your Knowledge

In a railway division, the average monthly salary of all 120 staff members is ₹35,000. The average monthly salary of the supervisory staff is ₹45,000, and that of the non-supervisory staff is ₹32,500. How many supervisory staff members are employed in the division?

A

20

B

24

C

28

D

32

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