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statistical summaries
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "statistical summaries" is correct and usable in written English.
You can use it when referring to condensed representations of data that highlight key statistics or findings. Example: "The report includes several statistical summaries that illustrate the trends observed over the past year."
✓ Grammatically correct
Science
Academia
Encyclopedias
Alternative expressions(2)
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
60 human-written examples
Simple statistical summaries, such as fold change, t-statistics and Welch statistics, have been applied.
Science
We describe here a multithreaded library that computes statistics on large numbers of datasets (Wiggle, BigWig, Bed, BigBed and BAM), generating statistical summaries within minutes with limited memory requirements, whether on the whole genome or on selected regions.
Science
The site includes statistical summaries in the country "trade profiles".
Academia
The statistical summaries of their device parameters are also discussed.
Science
Only statistical summaries with no identifying data are shared along this manuscript.
Science & Research
Statistical summaries are presented along with statistical inferences supporting interpretations and conclusions on fish behavior.
Science
3) student evaluations and statistical summaries for courses previously taught, if available.
Academia
Statistical summaries are the most widely used approach to describe a soccer match.
Science
The society also publishes yacht registers and statistical summaries on shipbuilding, fleets, and marine casualties.
Encyclopedias
AIDS, Tuberculosis and Malaria: Current and recent news, reports, statistical summaries, etc. Handbook on vector control in malaria elimination.
Academia
Statistical summaries of IP traffic are at the heart of network operation and are used to recover aggregate information on subpopulations of flows.
Expert writing Tips
Best practice
When writing reports or analyses, use "statistical summaries" to provide a clear and concise overview of the data's key findings.
Common error
Avoid using "statistical summaries" when detailed data or raw datasets are required; the phrase implies a condensed version, not a comprehensive analysis.
Source & Trust
82%
Authority and reliability
4.6/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "statistical summaries" functions as a noun phrase, typically used as a subject or object in a sentence. It refers to a concise collection of key statistical information, as supported by Ludwig AI and its numerous examples.
Frequent in
Science
53%
Academia
22%
Encyclopedias
7%
Less common in
News & Media
6%
Wiki
3%
Formal & Business
0%
Ludwig's WRAP-UP
In conclusion, "statistical summaries" is a grammatically sound and widely used phrase, as confirmed by Ludwig AI, referring to condensed representations of data emphasizing key statistics. Predominantly found in scientific and academic contexts, its purpose is to provide concise overviews. When using this phrase, remember that it implies a simplified presentation, not a comprehensive analysis. Alternatives such as "data summaries" or "summary statistics" can be used depending on the context. Be aware that while Ludwig confirms the correct usage of the phrase, understanding its scope is crucial to avoid misinterpretations.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
summary statistics
Reverses the order but maintains the exact same meaning.
statistical analysis summaries
Specifies that the summaries are derived from a statistical analysis.
data summaries
Focuses on the data aspect rather than explicitly mentioning statistics.
summary data
Similar to "data summaries" but focuses on condensed data representations.
statistical abstracts
Implies a more formal and comprehensive collection of statistical information.
statistical overviews
Suggests a high-level presentation of statistical information.
key statistics
Emphasizes the most important or relevant statistical information.
consolidated statistics
Implies that the statistics have been combined or aggregated from various sources.
statistical reports
Highlights the reporting aspect of presenting statistical findings.
data highlights
Focuses on drawing attention to the most significant data points.
FAQs
How can I effectively use "statistical summaries" in a research paper?
In research papers, "statistical summaries" can be used to provide an overview of your key findings. They often appear in the results section and should be clear, concise, and directly related to your research questions. For example, you might say, "The statistical summaries indicate a significant correlation between variable X and variable Y."
What are some alternatives to "statistical summaries" that I can use in my writing?
Depending on the context, you can use alternatives such as "data summaries", "summary statistics", or "statistical abstracts". The choice depends on the level of formality and the specific focus you want to convey.
Is it appropriate to use "statistical summaries" in both formal and informal writing?
Yes, "statistical summaries" is appropriate in both formal and informal writing. However, consider your audience. In formal settings, ensure your summaries are rigorous and well-supported. In informal settings, you might focus on the most salient points using "key statistics" or "data highlights".
How do "statistical summaries" differ from a full statistical analysis?
"Statistical summaries" provide a concise overview of the main findings from a dataset or analysis. A full statistical analysis, on the other hand, involves a more in-depth exploration of the data, including detailed methodologies, assumptions, and interpretations. Summaries present the highlights, while a full analysis presents the entire process and rationale.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
82%
Authority and reliability
4.6/5
Expert rating
Real-world application tested