minimum margin of error

USAGE SUMMARY

'minimum margin of error' is a correct and usable phrase in written English.
It is typically used to refer to the smallest possible margin of statistical error when conducting research or making calculations. For example: "We used a sample size of 400 people in order to ensure a minimum margin of error."

✓ Grammatically correct

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

The proportion of Tanzanian HCWs who encounter needle-stick injuries is 53% [ 6] and given 1.96 value of the 95% confidence interval and 0.04 an acceptable margin of error, the minimum sample size required for the study was 598.

BMC Health Services Research

Assuming a proportion of pregnant women attending ANC clinics of public health facilities who tested HIV-positive and received ARVs to be 50% [ 5], 5% significance level and 5% margin of error, the minimum sample size required for the study was 845 pregnant women after including a design effect of two and 10% non-response rate.

BMC Pregnancy and Childbirth

According to the sample size calculator by Raosoft [29], the minimum sample size is equal to 372 (margin of error: 5 %; confidence level: 95%%; response distribution for the highest sample size: 50%%).

European Transport Research Review

To estimate KSHV prevalence with 95% confidence and margin of error no larger than 0.02, the minimum sample size was calculated as 430 for each group.

BMC Infectious Diseases

The calculation of the minimum sample size with an acceptable error of 5% and a margin of error of 5% using the Cochran's formula [ 31] gives the results of 314 individuals.

BMC Public Health

At a minimum, The Times should start alerting readers that Nielsen doesn't provide the margin of error for its data and begin describing the ratings as "estimates".

The New York Times

Using an accepted margin of error of 5% and a 95% confidence interval, the minimum sample size was 197 patients.

Health and Quality of Life Outcomes

Based on Raosoft sample size calculator (if margin of error = 5 %, confidence level = 95%%, and response distribution = 50%%), the minimum sample size for this study was 400 patients.

BMC Complementary and Alternative Medicine

For a 5% margin of error, a 95% confidence level, a population of 2,047, and a response distribution of 50%, the minimum recommended survey size is 324.

BMC Oral Health

A minimum required sample size of 384 workers was calculated based on an unknown prevalence of unsafe sexual behaviour with a 5% margin of error and 95% CI.

BMJ Open

The minimum sample size for estimating one population proportion at an anticipated proportion of 50%%, 99 % level of confidence and 5%% margin of error was 664 patients.

BMC Gastroenterology

Expert writing Tips

Best practice

Clearly define and justify your acceptable "minimum margin of error" based on the specific context and implications of potential inaccuracies.

Common error

Failing to account for how errors in initial measurements or calculations accumulate and affect the final "minimum margin of error" can lead to underestimated uncertainty and overstated precision. Always consider error propagation methods.

Linguistic Context

The phrase "minimum margin of error" functions as a noun phrase, often serving as an object of a verb or as part of a prepositional phrase. It signifies the smallest acceptable level of statistical uncertainty in a study or calculation. While Ludwig AI provides example usages, a low count suggests that the contexts for the phrase are relatively specialized.

Expression frequency: Missing

Frequent in

Science

0%

News & Media

0%

Formal & Business

0%

Less common in

Science

0%

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

The phrase "minimum margin of error" refers to the smallest acceptable level of statistical uncertainty, often sought in research and calculations. While Ludwig AI's analysis indicates that the phrase is grammatically sound, the limited examples suggest that its usage is somewhat specialized. The phrase is typically used in formal, scientific contexts to specify a target level of precision, and the analysis suggests being mindful of factors influencing the "margin of error" to avoid common pitfalls like overlooking error propagation. Because no usage examples were found it has the lowest possible score, but can still be used correctly.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

smallest possible error range

Emphasizes the range within which the true value is expected to fall, highlighting its minimization.

least amount of deviation

Focuses on reducing the extent of variation from a standard or expected value.

narrowest confidence interval

Highlights the precision of an estimate by minimizing the width of the confidence interval.

negligible error factor

Suggests that the error is so small it can be effectively disregarded.

minimal degree of inaccuracy

Directly addresses the level of imprecision, aiming for the smallest possible degree.

lowest acceptable error threshold

Focuses on meeting a required standard for error, aiming for the lowest permissible value.

reduced uncertainty level

Emphasizes decreasing the state of limited knowledge or unpredictability.

optimized precision level

Highlights the process of refining a measurement or calculation to achieve maximum accuracy.

finest level of resolution

Focuses on the ability to distinguish between closely spaced values or data points.

peak accuracy

Implies achieving the highest possible level of correctness or precision.

FAQs

How do I calculate the "minimum margin of error" for my research?

The calculation depends on your study design. Generally, it involves factors like sample size, population variance, and desired confidence level. Consult statistical resources or experts for specific formulas.

What factors influence the "minimum margin of error" in a survey?

Key factors include the sample size, the variability within the population being surveyed, and the chosen confidence level. Larger, more homogenous samples generally yield a smaller "margin of error".

Is it always possible to achieve a desired "minimum margin of error"?

No, practical constraints like limited resources, access to participants, or inherent population variability can restrict your ability to minimize the "margin of error" to a specific target. Balancing precision with feasibility is crucial.

What are the ethical considerations related to reporting the "minimum margin of error"?

It's essential to transparently and accurately report the "margin of error" to avoid misleading interpretations of your findings. Concealing or misrepresenting it can compromise the integrity of your research and erode public trust.