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Variance analysis is the backbone of management accounting—it's how companies figure out why actual results differ from what they planned. You're not just being tested on whether you can plug numbers into formulas; you're being tested on your ability to diagnose performance problems and trace variances to their root causes. Every formula tells a story about either a price/rate issue (we paid more or less than expected) or a quantity/efficiency issue (we used more or less than expected).
The real exam skill here is understanding which variance to calculate when, who's responsible for each variance, and how variances connect to each other. A purchasing manager controls material prices but not usage; a production supervisor controls efficiency but not wage rates. Master these relationships, and you'll crush both multiple-choice questions and FRQs that ask you to analyze performance. Don't just memorize formulas—know what each variance reveals about operations.
These variances isolate the impact of paying more or less per unit of input than expected. The key mechanism: hold quantity constant and focus solely on the price difference.
Compare: Materials Price Variance vs. Labor Rate Variance—both measure what we paid versus what we expected to pay, but materials prices are often market-driven while labor rates reflect internal decisions like overtime authorization. If an FRQ asks about controllability, this distinction matters.
These variances measure whether inputs were used efficiently. The key mechanism: hold price constant at standard and focus on the quantity difference.
Compare: Materials Quantity Variance vs. Labor Efficiency Variance—both use the same structure (actual minus standard, times standard price), but they measure different resources. An FRQ might give you a scenario where cheap materials cause both a favorable price variance and an unfavorable efficiency variance due to rework.
Variable overhead variances follow the same price/efficiency logic but apply to indirect costs that change with activity level. These are typically driven by the same factors as direct labor since variable overhead is often applied based on labor hours.
Compare: VOH Spending vs. VOH Efficiency—spending variance asks "did we control overhead costs per hour?" while efficiency variance asks "did we work the right number of hours?" A department could have favorable spending (good cost control) but unfavorable efficiency (too many hours worked).
Fixed overhead behaves differently because these costs don't change with production volume in the short run. The variance analysis splits into spending control and capacity utilization.
Compare: FOH Spending vs. FOH Volume—spending variance measures cost control while volume variance measures capacity utilization. The volume variance is sometimes called a "plug" because it reconciles budgeted and applied overhead. Exams love asking which variance is controllable—spending variance somewhat, volume variance rarely.
Sales variances shift focus from cost control to revenue analysis. These help explain why actual revenue differs from budgeted revenue.
Compare: Sales Price vs. Sales Volume Variance—these mirror the cost variance structure but apply to revenue. A company might have favorable price variance (sold at premium prices) but unfavorable volume variance (sold fewer units)—classic price-volume tradeoff. FRQs often ask you to evaluate whether a pricing strategy was successful overall.
| Concept | Best Examples |
|---|---|
| Price/Rate Variances | Materials Price, Labor Rate, VOH Spending |
| Quantity/Efficiency Variances | Materials Quantity, Labor Efficiency, VOH Efficiency |
| Fixed Overhead Analysis | FOH Spending, FOH Volume |
| Revenue Analysis | Sales Price, Sales Volume |
| Purchasing Responsibility | Materials Price Variance |
| Production Responsibility | Materials Quantity, Labor Efficiency, VOH Efficiency |
| Capacity Utilization | FOH Volume Variance |
| Controllable vs. Uncontrollable | Spending variances (more controllable) vs. Volume variance (less controllable) |
Which two variances share the exact same efficiency measure, just applied to different cost pools? What does this tell you about their relationship?
A company reports a favorable materials price variance but an unfavorable materials quantity variance. What purchasing decision might explain both results, and what's the net effect on total materials cost?
Compare the fixed overhead spending variance and the fixed overhead volume variance: which one measures actual cost control, and which one is essentially an accounting reconciliation?
If an FRQ gives you actual hours worked, standard hours allowed, and the standard variable overhead rate, which variance can you calculate? Write the formula and explain what it reveals about operations.
A sales manager argues that a $50,000 unfavorable sales volume variance was offset by a $60,000 favorable sales price variance, so overall performance was good. What's the flaw in this reasoning, and what additional information would you need to fully evaluate performance?