significant variables

USAGE SUMMARY

The phrase "significant variables" is correct and usable in written English.
It is typically used in statistical analysis, research, or data science to refer to variables that have a meaningful impact on the outcome of a study or experiment. Example: "In our analysis, we identified several significant variables that influenced the results of the survey."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

I can say with some certainty that it will be a lower carbon business model as energy costs become one of the most significant variables to control.

The Guardian

Significant variables associated with Strep.

Journal of Dairy Science

Selective exposure: Both F3 and F4 are statistically significant variables.

EPJ Data Science

NS no significant variables associated with a principal component.

Forest Ecosystems

The significant variables mostly fall in the personal attribute.

Urban Rail Transit

For the multivariate regression, we included all significant variables.

Health Economics Review

We use the stepwise procedure to select the significant variables.

ROBOMECH Journal

All significant variables have the expected signs and values.

European Transport Research Review

Stepwise regression identified significant variables in the full set.

Early Human Development

The two most significant variables were pH and buffer concentration.

Chemical Engineering Journal

In order to analyze the process, four significant variables viz.

Powder Technology

Expert writing Tips

Best practice

When using "significant variables" in research papers, clearly define what constitutes significance in your study. This could involve setting a specific p-value or confidence interval.

Common error

Avoid claiming that a variable is "significant" without providing statistical evidence. Always back up your claim with appropriate data and analyses.

Linguistic Context

The phrase "significant variables" functions as a noun phrase, where "significant" is an adjective modifying the noun "variables". It commonly refers to variables that have a statistically meaningful impact in a study or analysis, as seen in Ludwig's examples.

Expression frequency: Very common

Frequent in

Science

88%

News & Media

7%

Formal & Business

5%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "significant variables" is a commonly used term, especially in scientific and research contexts, to denote variables that have a statistically meaningful impact. As Ludwig AI confirms, it's grammatically correct and frequently appears in academic papers. Alternatives include "key variables" or "important factors". When using "significant variables", ensure you provide statistical evidence to support claims of significance and avoid overgeneralizations. The high frequency and authoritative sources of the phrase suggest its widespread acceptance and importance in research and analytical writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

key variables

Replaces "significant" with "key", emphasizing the importance of the variables.

important factors

Substitutes "variables" with "factors", broadening the scope to include non-numerical elements.

critical parameters

Uses "parameters" instead of "variables", suggesting a more technical or mathematical context.

influential determinants

Replaces both words with more formal synonyms, highlighting the causal effect of the variables.

notable elements

Uses more general terms, suitable for less technical discussions.

relevant considerations

Shifts the focus to aspects that need to be taken into account.

primary indicators

Highlights the role of the variables as signs or measures of something.

principal components

Emphasizes the role of the variables as building blocks or constituents.

major predictors

Focuses on the ability of the variables to forecast or anticipate outcomes.

essential aspects

Emphasizes the necessity or indispensability of the variables.

FAQs

How are "significant variables" identified in research?

Significant variables are typically identified through statistical methods such as regression analysis, ANOVA, or t-tests. These methods assess whether the relationship between a variable and an outcome is statistically significant, meaning it's unlikely to have occurred by chance.

What does it mean for a variable to be statistically significant?

A statistically significant variable indicates a relationship between that variable and the outcome being studied is unlikely due to random chance. The level of significance is usually determined by a p-value (e.g., p < 0.05), which represents the probability of observing the results if there is no true effect.

What are some alternatives to "significant variables"?

You can use alternatives like "key variables", "important factors", or "critical parameters" depending on the context.

How do I use "significant variables" in a sentence?

Here's an example: "Our study identified several "significant variables" that influenced the outcome of the experiment." The phrase is often used in academic or research contexts.