Error example sentences

"Error" Example Sentences

1. The error prevented the program from working correctly.
2. The student made an error in calculating the sum.
3. Please double check your work for any errors.
4. The error was caused by a typo in the code.
5. The survey results were flawed due to measurement error.
6. Error messages popped up on the screen.
7. The scientist sought to correct the error in the experiment.
8. The teacher corrected the child's spelling error.
9. The erroneous report had to be redone.
10. The team worked hard to eliminate all potential sources of error.
11. The witness made an error in identifying the suspect.
12. The company issued a recall due to a manufacturing error.
13. The mistake could have been avoided if the error had been caught earlier.
14. The website crashed due to a server error.
15. There was an error calculating the total.
16. The clerk had to redo the paperwork because of an error.
17. The judge ruled that the error did not invalidate the whole document.
18. The error message said there wasn't enough space left on the device.
19. The incorrect data led to errors in the conclusions.
20. The mistaken identity led to tragic consequences.
21. The document contained a few minor clerical errors.
22. The report was riddled with factual errors and misleading statements.
23. Catching and correcting errors early saves a lot of trouble later on.
24. Error checking is an important part of the quality control process.
25. The company strives for zero defects through rigorous error detection.
26. Thankfully the medical error was caught before any harm was done.
27. The coefficient was entered incorrectly, which propagated the error.
28. There was a miscommunication that led to the regrettable error.
29. The error marred what would have otherwise been a perfect score.
30. Random errors tend to cancel each other out over time.
31. Systematic errors skew results in a particular direction.
32. Checksums are used to detect transmission errors.
33. Troubleshooting is used to identify and correct errors.
34. The decimal point was in the wrong place, causing a large percentage error.
35. The error was inadvertent and did not reflect any ill intent.
36. A syntax error occured, indicating invalid code.
37. The analyst noted that the data contained several outliers and anomalies.
38. Faulty assumptions led to erroneous conclusions.
39. Allow for a margin of error in your calculations.
40. The referee admitted that an incorrect call had been made in error.
41. There is always some random error inherent in measurements.
42. The error message indicated a divide by zero operation.
43. The mistake was unintentional and easily corrected.
44. Be careful to avoid compromising sensitive data in error.
45. The experiment was replicated to test for possible laboratory error.
46. The miscalculation resulted in an order of magnitude error.
47. The initial data set contained gross errors that were eventually cleaned.
48. There was a sign error when transcribing the equation into code.
49. The erroneous assumption threw off the entire analysis.
50. The approximation introduces acceptable levels of error.
51. A null hypothesis assumes there is no real difference or error.
52. The conclusions were unsound due to conceptual error.
53. Rounding introduced small levels of numerical error.
54. The instructions were ambiguous, leading to user error.
55. The software failed to catch the logic error during testing.
56. The print job had to be redone due to a paper jam error.
57. Errors in judgment can be as costly as factual errors.
58. Statistical analysis aims to distinguish signal from noise and random error.
59. Errors in parameters propagate through calculations.
60. Frequent saving helps avoid data loss due to software or hardware errors.

Common Phases

1. Margin of error - A range indicating the possible error in a measurement.
2. Human error - A mistake made by a person.
3. Trial and error - A method of problem-solving that involves repeated attempts.
4. Error of judgment - An incorrect decision or assessment.
5. Type 1 error - A false positive, or the incorrect rejection of a true null hypothesis.
6. Type 2 error - A false negative, or the failure to reject a false null hypothesis.
7. Statistical error - Deviation from the true value due to random chance.
8. Systematic error - Deviation from the true value due to systematic factors.
9. Correct the error of one's ways - To change one's behavior after realizing a mistake.
10. No error is so great as that of a judgment mistaken - Meaning that incorrect assumptions are the most damaging kind of error.