figures might not sum accurately due to approximation

USAGE SUMMARY

The phrase "figures might not sum accurately due to approximation" is correct and usable in written English.
It can be used in contexts where numerical data is presented, and there is a possibility that the totals may not be precise because of rounding or estimation. Example: "When analyzing the budget, keep in mind that the figures might not sum accurately due to approximation, so consider this when making financial decisions."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

§Sum of observations in various strata might not sum to total number of observations (4945) because of non-response.

British Medical Journal

*Percentages might not sum to 100 because of rounding.

British Medical Journal

Might not sum to total because of rounding.

British Medical Journal

Taking out these cuts leaves £54bn more spending cuts to be allocated in the Spending Review (these figures do not sum due to rounding).

The Guardian

However, it is possible that even these figures might not accurately reflect the high prevalence of renal and hepatic dysfunction among the ICU population.

Critical Care

Totals vary due to missing data and may not sum to 100 due to rounding.

BMC Family Practice

* Discrepancy = (self-reported weight) – (measured weight) † Percentages may not sum to 100 due to rounding ‡ Figures in parentheses are standard errors §Adjusted for race-ethnicity, highest educational attainment, and BMI category.

BMC Public Health

Notes: Estimates may not sum to totals due to rounding.

University of California, Berkeley

Percentages may not sum to 100% due to rounding.

Health & Justice

Some percents do not sum to 100 due to rounding.

BMC Women's Health

*Column does not sum to 100% due to rounding.

BMC Pregnancy and Childbirth

Expert writing Tips

Best practice

When presenting numerical data, explicitly state that totals might not sum accurately because of rounding or approximation to avoid confusion or misinterpretation by the reader.

Common error

Avoid presenting approximate figures without acknowledging the potential for discrepancies in the totals. Always provide a disclaimer when using rounded numbers or estimations.

Linguistic Context

The phrase "figures might not sum accurately due to approximation" serves as a disclaimer, typically used in reports, analyses, or presentations involving numerical data. It informs the audience that the presented sums might not precisely match the individual components because of rounding or estimation. Ludwig AI confirms this as a correct and usable phrase.

Expression frequency: Missing

Frequent in

Science

33%

News & Media

33%

Formal & Business

33%

Less common in

Science

0%

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

The phrase "figures might not sum accurately due to approximation" is a grammatically correct disclaimer used to acknowledge potential discrepancies in numerical data. As confirmed by Ludwig AI, this phrase is most frequently used in scientific and professional contexts to ensure transparency. Given the absence of exact examples, understand its function as a disclaimer. It's important to explicitly state the reasons for potential inaccuracies, whether it's "due to rounding", estimation, or missing data, to avoid misinterpretation and maintain credibility. When presenting data, remember that clear communication is key to building trust with your audience.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

totals may be slightly off due to rounding

Indicates minor discrepancies because of rounding, simpler phrasing.

sums may not be exact due to estimations

Focuses on estimations as the cause of inexact sums.

calculations might be imprecise due to approximation

Highlights imprecision in calculations because of approximation.

numbers may not add up perfectly because of rounding

Emphasizes the lack of perfect addition because of rounding.

the figures are approximate and may not total precisely

States that figures are approximate, leading to imprecise totals.

discrepancies in totals may occur due to rounding

Focuses on potential discrepancies because of rounding.

slight variations in totals are possible due to approximation

Highlights the possibility of variations because of approximation.

totals may not align perfectly due to estimated values

States that totals may not align perfectly because values are estimated.

the aggregate values may differ slightly due to rounding

Implies that aggregate values are slightly different because of rounding.

there might be minor discrepancies in the total due to approximation

Highlights the possibility of minor discrepancies due to approximation.

FAQs

How can I indicate that totals might not be exact due to rounding?

You can use phrases like "totals may not sum exactly "due to rounding"" or "figures are approximate".

What does it mean when figures don't sum accurately due to approximation?

It means that the presented totals might be slightly different from the sum of individual values because the numbers have been rounded or estimated for simplicity.

Is it necessary to explain why figures might not sum accurately?

Yes, explaining that discrepancies are "due to rounding" or approximation prevents misunderstanding and ensures transparency in data presentation.

What are some alternatives to saying "figures might not sum accurately due to approximation"?

Alternatives include "totals may be slightly off due to rounding" or "sums may not be exact due to estimations" depending on the specific reason for the discrepancy.