systematic errors

USAGE SUMMARY

The phrase "systematic errors" is correct and usable in written English.
It is typically used in contexts related to science, statistics, or engineering to refer to consistent, repeatable errors that occur in measurements or observations. Example: "The experiment was flawed due to systematic errors in the calibration of the instruments."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The rules can be quite useful, but they also frequently lead to systematic errors in judgment.

The New York Times - Tech

Every scientist knows about measurement bias, the systematic errors that can creep into data.

The New York Times - Science

Additional systematic errors can not be excluded.

Acta Materialia

Methodological components may identify trials with systematic errors ("bias").

Journal of Clinical Epidemiology

The two trends are not uniform indicating the presence of systematic errors (error propagation with distance from the origin) and non-systematic errors.

Earth, Planets and Space

The monkeys' systematic errors argue against one theory of how the mammalian brain processes numbers.

Science Magazine

As a result, he says, "it is not really subjected to systematic errors".

Science Magazine

One problem is that the human brain's forecasting capabilities are limited, leaving us prone to cognitive biases that lead to systematic errors of judgement.

TechCrunch

We conclude that WLL is a better approach than WLSQ for data contaminated by systematic errors.

Earth, Planets and Space

Additionally, evaluations were performed for both random and systematic errors of the method.

Progress in Orthodontics

Only two variables (LAFH and Z angle) presented significant systematic errors.

Progress in Orthodontics

Expert writing Tips

Best practice

When discussing research or data analysis, clearly distinguish between "systematic errors" and random errors to provide a comprehensive understanding of potential limitations.

Common error

Avoid using "systematic errors" interchangeably with random errors. "Systematic errors" are consistent and predictable, while random errors are unpredictable and vary in magnitude and direction.

Linguistic Context

The phrase "systematic errors" functions as a noun phrase, typically serving as the subject or object of a sentence. It describes a specific type of error characterized by its consistent and predictable nature. As Ludwig AI confirms, this phrase is appropriate in formal writing.

Expression frequency: Very common

Frequent in

Science

74%

News & Media

17%

Wiki

3%

Less common in

Formal & Business

1%

Reference

0%

Encyclopedias

0%

Ludwig's WRAP-UP

The phrase "systematic errors" is a commonly used term, particularly in scientific and technical fields, to describe consistent and predictable inaccuracies in data or processes. Ludwig AI analysis confirms that this phrase is grammatically correct and widely accepted. Key aspects to remember include distinguishing "systematic errors" from random errors, identifying potential sources of error in your methodology, and applying appropriate corrections to ensure the validity of your results. Considering alternatives like "consistent errors" or "methodological errors" can sometimes add nuance to your writing, but "systematic errors" remains the most precise and widely understood term in many contexts.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

consistent errors

Focuses on the consistency of the errors, highlighting that they are not random.

methodological errors

Specifies that the errors originate from the methodology used.

systematic inaccuracies

Replaces "errors" with "inaccuracies", offering a softer tone.

recurring inaccuracies

Emphasizes the repetitive nature of the inaccuracies.

predictable errors

Highlights the predictability of the errors, suggesting a pattern.

biased errors

Implies that the errors are influenced by a particular bias.

consistent distortions

Uses "distortions" to describe the errors, implying a change in shape or form.

regular errors

Highlights the regularity with which the errors occur.

consistent deviations

Uses "deviations" to represent the errors, implying a departure from the norm.

fixed errors

Emphasizes that the errors are constant and unchanging.

FAQs

How do I identify "systematic errors" in my data?

Look for consistent patterns or biases in your measurements. "Systematic errors" often result in values that are consistently higher or lower than the true value. Comparing your results with known standards or using different measurement techniques can help reveal these errors.

What's the difference between "systematic errors" and random errors?

"Systematic errors" are predictable and consistent, leading to a constant bias. Random errors are unpredictable and vary in both direction and magnitude. Therefore, while averaging multiple measurements can reduce random errors, it won't eliminate "systematic errors".

How can I correct for "systematic errors"?

If you can identify and quantify the source of "systematic errors", you can apply a correction factor to your data. Calibration against known standards is a common method for reducing "systematic errors".

What are some alternatives to using the phrase "systematic errors"?

Depending on the context, you can use phrases like "consistent errors", "methodological errors", or "systematic inaccuracies". The best choice depends on the specific nuance you want to convey.