"Variance" Example Sentences
1. The variances between the two temperature readings could be due to measurement error.
2. The model showed a significant variance in growth rates for different species.
3. We need to reduce variances in product quality across our different factories.
4. The standard deviation and variance are measures of how spread out the data are.
5. The company seeks to minimize variances across productivity metrics for all plants.
6. The variances between the actual and expected results were within the acceptable limits.
7. They have developed a system to monitor variances in inventory levels every week.
8. The analysis of variance helped determine if the differences were statistically significant.
9. The variance in revenues from one quarter to another can pose a challenge for budgeting.
10. They examined the variances between actual and predicted consumer behavior.
11. The inflation rate has shown considerable variance from month to month this year.
12. The formula to calculate variance is the sum of the squared differences divided by the number of data points.
13. The tax code contains many variances based on factors like income level and marital status.
14. Sales variances have been consistently higher in the Northeast region.
15. One possible cause of the variance is systematic error in the measurement devices.
16. The regulator is investigating possible variances in safety inspection protocols.
17. There is usually some variance year over year in weather patterns and precipitation levels.
18. Variances in accounting reports are examined to identify undesirable trends.
19. The financial statements showed material variances from the prior quarter's results.
20. There was significant variance between actual production costs and the budgeted amounts.
21. The survey results showed a wide variance of opinions on the proposed policy changes.
22. Variance reports help identify problems that need further investigation and corrective action.
23. The amounts allocated for different line items showed large variances compared to last year.
24. Variances in outcomes for different patient groups highlight areas needing improvement.
25. The audit focused on material variances in key financial metrics over the past two years.
26. There are many factors that can lead to variance in test scores for different students.
27. High variances in customer satisfaction scores pointed to areas in need of process changes.
28. The explained variance is the portion due to the independent variables in the regression model.
29. Variances in product availability across stores indicate an issue with supply chain management.
30. The error variance represents the portion of the outcome not explained by the predictors.
31. There were significant variances between plants in throughput and yield percentages.
32. The algorithm is designed to minimize variances in pixel intensity in the image.
33. Legal experts disputed the claim that the variances in sentencing amounted to discrimination.
34. Variances between projected and actual cost savings were within the expected range.
35. High labor cost variances indicated the need for examining staffing levels and overtime.
36. The law aims to reduce variances in health outcomes due to differences in socioeconomic status.
37. They reviewed variances in raw material consumption across different production lines.
38. The budgeting process targets minimal variances in spending across departments.
39. The variances can help uncover process issues or signal potential fraud and abuse.
40. There is a certain amount of natural variance in measurements of physical phenomena.
41. The researchers examined the variances in test results across different demographic groups.
42. The journal review process aims to minimize variances in the rigor of evaluations.
43. Variance reports allow researchers to track deviations from expected results.
44. The unsuitability of assumptions can lead to undesirable variances during implementation.
45. Any kind of change introduces variance, even if the goal is to reduce it in the long run.
46. Variances in outcomes may point to deficiencies in training, policies or procedures.
47. Fixed effects models allow for variances across subjects that remain constant over time.
48. The observed variances in the data exceeded the range predicted by the model.
49. Equation variances can occur when changing between different measurement systems.
50. High variances in year-end bonuses led to complaints of inequitable compensation practices.
51. The new formula for calculating variances has resulted in more consistent outcomes.
52. There were significant variances between stores in average transaction amounts.
53. Regional variances in sales volume can be explained by differences in population density.
54. Variances suggest that something needs to change to improve outcomes.
55. Performance variances highlight where processes may need improvement.
56. The dataset exhibited high levels of variance across multiple variables.
57. Data outliers lead to larger variances and standard deviations.
58. Acceptable variances must be defined for each metric being monitored.
59. Reducing variance improves predictability, consistency and stability.
60. Variances can reveal areas of improvement if investigated and addressed properly.
Common Phases
1. Accounting
variance - A discrepancy between the budgeted and actual financial results.
2. Analysis of
variance - A statistical technique to determine whether there are significant differences between group means.
3. Cost
variance - The difference between actual and budgeted or standard cost for a cost object.
4.
Variance report - A formal report detailing the differences between actual and planned key performance indicators.
5. Material
variance - A discrepancy between planned and actual numbers that is significant enough to impact performance.
6. Performance
variance - The difference between actual performance and expected or target performance.
7. Residual
variance - The amount of
variance that remains unexplained by the model or analysis.
8. Standard deviation - A measure of how spread out the data is around the mean value.
9. Statistical
variance - A measure of how far a set of numbers are spread out from their mean value.
10.
Variance analysis - The process of comparing actual results to the budget or plan to identify deviations.