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Microlesson · 5-min read

Variance Classification - Controllable, Uncontrollable, Favourable, Adverse, Labour Efficiency

# Variance Analysis — Classification

## What is a Variance?

A variance is the difference between standard cost and actual cost (for costs), or between budgeted and actual results (for sales).

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## Classification 1: Controllable vs. Uncontrollable Variances

### Controllable Variances

  • Can be prevented by timely action from a responsibility centre
  • The responsibility centre is accountable for these variances
  • Examples: Material wastage from careless handling, labour idle time from poor scheduling

### Uncontrollable Variances

  • Arise due to factors outside the control of the responsibility centre
  • Even with preventive measures, these cannot be avoided
  • Examples: Market price increases for raw materials, government-mandated wage revisions

> Key Principle: Controllability is subjective — a variance uncontrollable at supervisor level may be controllable at senior management level.

> Action Rule: If significant uncontrollable variances persist, revise the standard — it is no longer realistic.

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## Classification 2: Favourable vs. Adverse Variances

TypeCost VariancesSales VariancesNotation
Favourable (F)Actual cost < Standard costActual sales > Budgeted salesF
Adverse (A)Actual cost > Standard costActual sales < Budgeted salesA

### Critical Insight: Favourable ≠ Always Good; Adverse ≠ Always Bad

  • Favourable price variance from buying cheaper material may cause adverse usage variance (more wastage) — net effect could be adverse
  • Adverse efficiency variance from hiring skilled workers may produce favourable yield — net effect could be favourable
  • Always analyse root cause, not just the sign

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## Labour Efficiency Variance and Its Sub-Components

Labour Efficiency Variance (LEV) = Difference between actual hours worked and standard hours for actual output, valued at standard rate.

Causes: Worker skill levels, inappropriate team composition, production manager or foreman inefficiency.

LEV is sub-divided into:

### (a) Labour Mix Variance (Gang Variance)

  • Arises when the actual mix of worker grades differs from the standard mix
  • Example: Using more skilled workers than the standard proportion stipulates
  • Formula: (Standard cost of standard mix − Standard cost of actual mix) for actual total hours
  • Adverse if a more expensive mix than standard is used

### (b) Labour Yield Variance (Revised Efficiency Variance)

  • Arises when actual output differs from expected output given the hours actually worked
  • Captures the efficiency of the actual gang in producing output
  • Formula: (Standard hours for actual output − Revised standard hours) × Standard rate

> Relationship: Labour Mix Variance + Labour Yield Variance = Labour Efficiency Variance

Worked example

### Example 1

Labour Mix Variance: Standard mix: 60% Skilled @ ₹100/hr + 40% Unskilled @ ₹60/hr. Actual: 700 skilled hours + 300 unskilled hours (1,000 total hours).

Standard cost of standard mix for 1,000 hours = (600 × ₹100) + (400 × ₹60) = ₹60,000 + ₹24,000 = ₹84,000

Standard cost of actual mix = (700 × ₹100) + (300 × ₹60) = ₹70,000 + ₹18,000 = ₹88,000

Labour Mix Variance = ₹84,000 − ₹88,000 = ₹4,000 Adverse (more expensive mix used than standard).

### Example 2

Favourable but deceptive — inter-related variances: A factory shows:

  • Favourable Material Price Variance = ₹20,000 (bought cheaper material)
  • Adverse Material Usage Variance = ₹35,000 (cheaper material had higher wastage)

Net material variance = ₹20,000 F − ₹35,000 A = ₹15,000 Adverse

The purchasing manager's decision to buy cheaper material actually cost ₹15,000 more overall. This illustrates why variances must be analysed together, not in isolation.

⚠️ Common exam mistakes

  • Automatically treating Favourable as 'good' and Adverse as 'bad' — always investigate the root cause; interrelated variances often offset each other.
  • Confusing Labour Mix Variance with Labour Efficiency Variance — Mix Variance is a sub-component of Efficiency Variance, isolating the effect of changing the proportion of worker grades.
  • Assigning responsibility for a variance to whoever caused it rather than whoever could have controlled it — a supervisor is responsible for variances within their span of control, not for market price changes.
  • Not revising standards when uncontrollable variances are persistent and significant — prolonged uncontrollable adverse variances signal that the standard is outdated and should be revised.
  • Forgetting that Efficiency Variance = Mix Variance + Yield Variance — in exam calculations, always verify this relationship holds.
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