sufficiently many variables

USAGE SUMMARY

The phrase "sufficiently many variables" is correct and usable in written English.
It can be used in contexts where you want to indicate that there is an adequate number of variables to achieve a certain outcome or to support a particular argument. Example: "In order to draw a reliable conclusion from the experiment, we need to ensure that we have sufficiently many variables to account for all possible influences."

✓ Grammatically correct

Encyclopedias

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

In the same spirit, an amplified version of Gödel's completeness theorem would say that every topos may be viewed as a continuously variable local topos, provided sufficiently many variables (Henkin constants) are adjoined to its internal language.

Encyclopedia Britannica

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

We prove a concentration inequality which asserts that, under some mild regularity conditions, every random variable defined on the product of sufficiently many probability spaces exhibits pseudorandom behavior.

Journal of Functional Analysis

In schemes of this sort the key register is generally stepped forward to hide the key itself before any encryption of plaintext is carried out and then advanced sufficiently many steps between encryptions to ensure diffusion of the keying variables.

Encyclopedia Britannica

It remains to check that we will not add too many variables in this way, and that copies of B q will start producing value 1 at o q sufficiently fast (so they do not affect the workings of ).

Advances in Difference Equations

There are so many variables.

The New York Times - Magazine

There are too many variables".

The New York Times

There are many variables.

The New York Times

However, there are so many variables.

The Guardian - Tech

There are simply too many variables.

The New York Times

Too much failure, too many variables.

The New York Times - Sports

There are just too many variables involved".

The New York Times

Expert writing Tips

Best practice

When discussing statistical modeling or scientific research, ensure you've included "sufficiently many variables" to avoid oversimplification and account for potential confounding factors.

Common error

Avoid reducing the number of variables in a model to the bare minimum for the sake of simplicity. While parsimony is valuable, ensure you're including "sufficiently many variables" to capture the true underlying relationships and avoid omitted variable bias.

Linguistic Context

The phrase "sufficiently many variables" functions as an adjectival phrase modifying a noun. It quantifies the noun "variables" by indicating that there is an adequate amount to meet a certain requirement or condition. Ludwig confirms that it can be used where you want to indicate an adequate number of variables.

Expression frequency: Rare

Frequent in

Science

30%

News & Media

28%

Encyclopedias

21%

Less common in

Wiki

10%

Formal & Business

6%

Social Media

5%

Ludwig's WRAP-UP

In summary, "sufficiently many variables" is a grammatically correct phrase used to denote an adequate quantity of factors, mostly in formal and scientific contexts. Although Ludwig confirms its correctness, its usage is relatively rare. It emphasizes the need for completeness and accuracy in research and modeling. Alternative phrases include "adequate number of variables" and "ample variables". Ensuring "sufficiently many variables" are included helps avoid oversimplification and bias.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

adequate number of variables

Replaces "sufficiently" with "adequate", focusing on meeting a minimum requirement.

enough variables

Simplifies the phrase to its most basic components, emphasizing the attainment of a necessary quantity.

a sufficient quantity of variables

Replaces "many" with "quantity", making the phrase more formal and emphasizing the measurable aspect.

ample variables

Uses "ample" to indicate a generous or more than sufficient amount.

a large enough set of variables

Highlights the collective nature of the variables as a set and emphasizes the size requirement.

the required number of variables

Focuses on meeting a specific, predetermined need for variables.

an adequate range of variables

Shifts focus to the diversity and scope of variables, implying sufficiency in variety rather than sheer quantity.

a good selection of variables

Emphasizes the quality and suitability of the variables chosen.

an extensive list of variables

Highlights the comprehensive nature of the variable collection, implying a thorough consideration.

plenty of variables

Offers a more informal alternative, conveying an abundance of variables.

FAQs

How can I use "sufficiently many variables" in a sentence?

You can use "sufficiently many variables" to describe a situation where an adequate number of factors are considered to achieve a desired outcome. For instance: "To ensure accurate predictions, the model needs to include sufficiently many variables".

What does "sufficiently many variables" mean in research?

In research, "sufficiently many variables" refers to having a large enough number of independent factors in a study or model to accurately represent the phenomenon being investigated and to avoid bias or misleading results. It is related to "too many variables".

Are there alternatives to saying "sufficiently many variables"?

Yes, you can use phrases like "adequate number of variables", "enough variables", or "ample variables" depending on the context. The key is to convey that there are enough factors to provide a comprehensive or accurate representation.

When is it important to consider "sufficiently many variables"?

It's crucial to consider "sufficiently many variables" when building models, conducting experiments, or making decisions based on data, especially when accuracy and completeness are critical. Failing to account for all relevant factors can lead to skewed or unreliable outcomes.