FinServe tracks daily customer-support handling time because average performance alone can hide operational instability. A team lead claims two support teams have the same average handle time, but Team B is less consistent.
Use variance analysis to determine whether Team B's handle-time variability is significantly higher than Team A's. Then explain why variance analysis matters operationally even when means are similar.
A random sample of daily average handle times was collected over 12 days for each team.
| Team | Sample Size | Sample Mean (minutes) | Sample Variance (minutes^2) |
|---|---|---|---|
| Team A | 12 | 8.4 | 1.44 |
| Team B | 12 | 8.6 | 4.00 |
Additional test settings:
| Parameter | Value |
|---|---|
| Significance level | 0.05 |
| Test type | One-sided F-test |
| Null hypothesis | Equal variances |
| Alternative hypothesis | Team B variance is greater |