8.2 Interpreting Variances: Causes, Interrelationships and Deciding What to Investigate

Key Takeaways

  • Variances can be caused by operational performance, by poorly set or out-of-date standards, or by measurement errors, so an adverse variance does not automatically mean poor management.

  • Buying cheaper, lower-quality material can give a favourable price variance but adverse material usage and labour efficiency variances.

  • Using more highly skilled labour typically gives an adverse labour rate variance with favourable labour efficiency and material usage variances.

  • Cutting the selling price gives an adverse sales price variance but may create a favourable sales volume variance if demand responds.

  • Whether to investigate depends on the size of the variance, its trend, whether it is controllable, and whether the benefit of correcting it exceeds the cost of investigation.

Last updated: September 2026

Why this topic is examined

Syllabus area C2(d) asks you to explain why variances could have arisen and the inter-relationships between variances. Questions present a scenario (for example, "the purchasing manager switched to a cheaper supplier") and ask which combination of variances is most likely, or give a set of variances and ask for the most plausible explanation. You will not be asked to calculate here, but you must connect causes to the variances calculated in Sections 7.2 to 8.1.


Three sources of variances

Before blaming a manager, ask which kind of cause is behind a variance:

SourceExplanationExample
OperationalActual performance genuinely differed from what was achievableCareless handling increased material wastage
Planning (standard setting)The standard itself was unrealistic or has become out of dateThe standard material price was set before a general price rise
Measurement or recording errorThe figures are wrongMaterial issued to one job was coded to another

Only operational variances say something about how well managers performed. A variance caused by an out-of-date standard should lead to revising the standard, not to criticising the manager.


Typical causes of each variance

VariancePossible favourable causesPossible adverse causes
Material priceBulk discounts; cheaper supplier; lower-quality material; falling market pricesPrice rises; higher-quality material; urgent purchases at premium prices; loss of discounts
Material usageHigher-quality material; more skilled workers; better machineryLower-quality material; wastage, theft or spoilage; inexperienced workers; poor machine maintenance
Labour rateUsing lower-grade (cheaper) staff; less overtime than plannedPay rise not in the standard; overtime or shift premiums; using higher-grade staff
Labour idle timeAlways adverseMachine breakdowns; material shortages; poor scheduling; power cuts
Labour efficiencySkilled, motivated staff; better methods or equipment; good-quality materialInexperienced or poorly supervised staff; poor-quality material; machine problems
Variable overhead expenditureLower prices for power or consumablesHigher tariffs or consumable prices
Variable overhead efficiencySame causes as favourable labour (or machine) efficiencySame causes as adverse labour (or machine) efficiency
Fixed overhead expenditureSavings on rent, insurance or salariesUnexpected rises in rent, insurance or supervisory costs
Sales priceStronger demand; less discounting; price risePrice cuts; discounts; competitor pressure
Sales volumeSuccessful marketing; lower prices; competitor problemsPrice rises; weak demand; production shortages; new competitors

Note

When variable overhead is absorbed on labour hours, the variable overhead efficiency variance has the same cause as the labour efficiency variance, because both measure the same difference between standard and actual hours.


Interrelationships: one decision, several variances

Variances are rarely independent. A decision that improves one variance often worsens another.

Decision or eventFavourable varianceAdverse variances likely
Buying cheaper, lower-quality materialMaterial priceMaterial usage (more waste); labour efficiency (more rework); possibly variable overhead efficiency
Buying higher-quality materialMaterial usage; labour efficiencyMaterial price
Using more skilled, higher-paid workersLabour efficiency; material usageLabour rate
Using trainees or lower-grade staffLabour rateLabour efficiency; material usage
Cutting the selling priceSales volume (if demand responds)Sales price
Working overtime to meet demandSales volumeLabour rate (overtime premium)
A major machine breakdownNoneIdle time; labour efficiency; possibly sales volume if orders are lost

The practical lesson is that responsibility must be assessed across the business. A purchasing manager who earns a favourable price variance by buying poor material may have caused a larger adverse usage variance in production. Rewarding the purchasing manager and blaming the production manager would be unfair and would encourage the wrong behaviour.


Worked interpretation

In Section 8.1, Apex Precision Systems reported these variances for May:

Variance$
Sales price19,000 F
Sales volume (at standard contribution)9,500 A
Material usage2,500 F
Labour rate5,000 A
Labour efficiency3,000 F
Variable overhead efficiency1,000 F
Fixed overhead expenditure4,000 A

A coherent explanation:

  1. Sales: Apex raised its average price from $50 to $52. The price rise earned a $19,000 favourable price variance but probably reduced demand, causing 500 fewer sales than budgeted and a $9,500 adverse volume variance. Overall, the price decision added $9,500 net.
  2. Labour and materials: The adverse labour rate variance alongside favourable labour efficiency and material usage variances suggests more experienced, higher-paid staff were used. They worked faster (500 hours saved) and wasted less material. The favourable variable overhead efficiency variance follows directly from the hours saved. Together these three favourable variances ($6,500) exceed the adverse rate variance ($5,000).
  3. Fixed overhead: The $4,000 adverse expenditure variance is unrelated to volume in a marginal costing system; it needs a separate explanation, such as an unbudgeted rent or insurance increase.

Deciding whether to investigate

Investigating every variance would be expensive. Management by exception focuses attention on the variances that matter. Factors to consider:

FactorQuestion to ask
Materiality (size)Is the variance large in absolute terms, or as a percentage of the standard cost? Many organisations set a threshold such as a fixed percentage of standard.
TrendIs a small variance growing month after month? A persistent trend may matter more than a one-off large variance.
ControllabilityCan a manager act on it? An adverse price variance caused by a global commodity price rise may not be controllable.
Cost versus benefitWill the savings from correcting the problem exceed the cost of investigating it?
Type of standardWith an ideal standard, adverse variances are expected and less significant; with an attainable standard, they are more worrying.
InterdependenceIs the variance a side effect of a decision that produced a larger favourable variance elsewhere?
Favourable variances tooA large favourable variance may reveal an out-of-date standard or cut corners (for example, skipped maintenance) and deserves attention as well.

Tip

In scenario questions, look for the root cause first, then list every variance that cause would affect. Answer options that include only one variance for a decision that obviously affects several areas are usually incomplete.

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Interrelationships Between Variances
Test Your Knowledge

A factory replaces experienced operatives with newly recruited trainees paid at a lower hourly rate. Which combination of variances is most likely?

A

Adverse labour rate, favourable labour efficiency and favourable material usage

B

Favourable labour rate, adverse labour efficiency and adverse material usage

C

Favourable labour rate, favourable labour efficiency and favourable material usage

D

Adverse idle time and favourable sales volume

Test Your Knowledge

A company reports a large favourable sales price variance and an adverse sales volume variance for the same period. Which explanation is most consistent with these results?

A

The company raised its selling price, and demand fell as a result

B

The company cut its selling price to win market share

C

A machine breakdown caused abnormal idle time

D

The purchasing department bought cheaper raw materials

Test Your Knowledge

Which factor is least relevant when deciding whether to investigate a variance?

A

Whether the variance is material relative to the standard cost

B

Whether the variance shows a worsening trend over several periods

C

Whether the cost of investigation is likely to exceed the benefit of correcting the cause

D

Whether the variance is labelled favourable, since favourable variances never need investigating

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