poor statistics

USAGE SUMMARY

The phrase "poor statistics" is correct and usable in written English.
It can be used to describe data or statistical information that is inadequate, unreliable, or not well-supported. Example: "The report was dismissed due to its reliance on poor statistics that failed to accurately represent the population."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

33 human-written examples

Are these poor statistics just a blip or is there something more profound at work?

The Guardian

As much as Lackey dismissed his poor statistics against Boston, he was probably thinking about them in the first inning.

The New York Times - Sports

"Poor statistics lead to poor public policy decisions and hold back the private sector, resulting in a loss of welfare to millions of people," Tyrie said.

The Guardian

Specifically, TORT fails to converge the inner iterations in some benchmark configurations while MCNP produces zero tallies, or drastically poor statistics for some benchmark quantities.

Annals of Nuclear Energy

The four not only praised Mr. Bush but also defended the record of their state, which has recently come under withering attack by the Gore campaign for its pollution and poor statistics on public health.

The New York Times

Monte Carlo (MC) simulations have been proposed for the interface effects but poor statistics in small spatial bins (1 μm) near the interface makes MC data questionable even with a well designed code.

Radiation Physics and Chemistry

Human-verified similar examples from authoritative sources

Similar Expressions

27 human-written examples

It was fiercely and "rightly" criticized, they say, for its small data set and poor statistics--problems they say they have corrected with the new report.

Science Magazine

This by its turn leads to fewer avalanches per time unit, yielding poorer statistics and increased variability.

Plosone

This perfusion tracer has known physiological advantages [ 55], but yields poorer statistics, because of its longer half-life and lower energy.

European Journal of Nuclear Medicine and Molecular Imaging

The performance of the MaSuRCA assembler was genome and data dependent, as it generated poor assembly statistics for strain BT03 and GM30 while reasonable assembly statistics for strain CF080 and GM41 (Supplementary Table S3).

Bioinformatics

The acquisition time is typically 10 ms, limited by the poor photon statistics.

Fusion Engineering and Design

Expert writing Tips

Best practice

When discussing "poor statistics", be specific about the nature of the inadequacy. Indicate whether the problem lies in sample size, methodology, or data collection.

Common error

Avoid vague statements about "poor statistics" without providing context or examples. Always support your assertion with specific details about the statistical flaws.

Linguistic Context

The phrase "poor statistics" functions as a descriptive phrase, where the adjective "poor" modifies the noun "statistics". This indicates a negative attribute regarding the quality or reliability of the statistical data, according to Ludwig.

Expression frequency: Common

Frequent in

Science

41%

News & Media

37%

Formal & Business

6%

Less common in

Wiki

4%

Academia

2%

Reference

0%

Ludwig's WRAP-UP

The phrase "poor statistics" is a common and grammatically correct way to describe data that is unreliable, inaccurate, or inadequate. According to Ludwig AI, its usage spans across various contexts, including science, news, and formal business settings. When using the phrase, it's best practice to provide specific details about the nature of the statistical flaws. Alternatives include "unreliable data" and "flawed statistics", which can offer nuanced ways to convey the same message.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

unreliable data

Focuses on the lack of reliability of the data rather than the statistical processing.

flawed statistics

Highlights the presence of errors or defects in the statistical information.

deficient statistics

Emphasizes the incompleteness or inadequacy of the statistical data.

inaccurate statistics

Directly points out the lack of accuracy in the statistical figures.

weak statistics

Indicates that the statistical evidence is not strong or compelling.

substandard statistics

Implies that the statistical data fails to meet an acceptable standard.

questionable statistics

Suggests doubt or uncertainty about the validity of the statistics.

dodgy statistics

An informal way of saying the statistics are untrustworthy or suspicious.

incomplete data

Highlights that the statistics suffer from missing information or data points.

dubious statistics

Similar to 'questionable', indicating the statistics are not easily believed.

FAQs

How can I use "poor statistics" in a sentence?

You can use "poor statistics" to describe situations where data is unreliable or inadequate, such as: "The policy decision was based on "poor statistics" that didn't accurately reflect the population's needs."

What are some alternatives to "poor statistics"?

Alternatives include "unreliable data", "flawed statistics", or "inaccurate statistics", depending on the specific issue you want to highlight.

Which is correct: "poor statistics" or "bad statistics"?

Both "poor statistics" and "bad statistics" are acceptable, but "poor statistics" is often preferred in more formal or technical contexts. "Bad statistics" is more informal.

What impact do "poor statistics" have on research?

"Poor statistics" can lead to incorrect conclusions, flawed policy recommendations, and wasted resources. It's crucial to ensure data quality and statistical rigor in research.