summary statistics

USAGE SUMMARY

'summary statistics' is correct and usable in written English.
It is typically used to refer to a set of statistical measures that provide a concise view of a data set. For example, you might use the phrase "summary statistics of the data showed that the average age of participants was 54 years old."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Summary Statistics (2009).

Health Economics Review

B Summary statistics.

IZA Journal of Labor Policy

Table 2 Summary statistics.

IZA Journal of Development and Migration

Summary statistics are in Table 3. Table 3 Summary Statistics.

Health Economics Review

Table 4 Summary statistics (intervention period).

Health Economics Review

Summary statistics are reported in Table 2.

IZA Journal of Labor Policy

Table 1 presents the sample summary statistics.

IZA Journal of Labor Policy

Summary statistics of small RNA libraries.

Rice

Table 1 Harrat Rahat boundary summary statistics.

Journal of Applied Volcanology

Table 3 Summary statistics   Mean (Std.

Journal of Shipping and Trade

Summary statistics are given in Table 2.

EJNMMI Research

Expert writing Tips

Best practice

When presenting "summary statistics", clearly label each statistic (e.g., mean, median, standard deviation) and provide units of measurement to ensure clarity and reproducibility.

Common error

Avoid drawing definitive conclusions based solely on "summary statistics" without considering the underlying data distribution or potential outliers. Always examine the data visually or conduct further analysis to validate your interpretations.

Linguistic Context

The phrase "summary statistics" functions as a noun phrase that summarizes key numerical properties of a dataset. According to Ludwig AI, this phrase is correct and usable in English, indicating its established grammatical status.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, the phrase "summary statistics" is a grammatically sound and frequently used term, particularly within scientific and academic domains. Ludwig AI confirms its proper usage in English. It serves the purpose of providing a concise overview of data, employing measures such as mean, median, and standard deviation. When using "summary statistics", clarity in labeling and consideration of data distribution are essential. Related terms include "descriptive statistics" and "statistical summaries", offering slight variations in emphasis. This phrase is formal and scientific, reflecting its prevalence in research and technical communication.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Descriptive statistics

Focuses on describing the main features of a dataset, often including measures of central tendency and variability.

Basic statistics

Refers to the fundamental statistical measures used to summarize data.

Statistical summaries

Emphasizes the act of summarizing data using statistical methods.

Data summaries

Broader term encompassing any form of data summarization, not necessarily statistical.

Key statistical indicators

Highlights the importance of specific statistical measures as indicators of overall trends.

Main statistical results

Emphasizes the presentation of key findings derived from statistical analysis.

Sample statistics

Refers specifically to statistics calculated from a sample of a larger population.

Aggregate statistics

Focuses on statistics that combine data from multiple sources or categories.

Overall statistics

Indicates statistics that provide a general overview of the data.

Statistical overview

Provides a general survey of the statistical characteristics of a dataset.

FAQs

How are "summary statistics" used in research?

"Summary statistics" are used to concisely describe and present the main features of a dataset, including measures of central tendency (mean, median), dispersion (standard deviation, range), and distribution.

What are some common examples of "summary statistics"?

Common examples of "summary statistics" include mean, median, mode, standard deviation, variance, range, quartiles, and percentiles.

How do I choose the appropriate "summary statistics" for my data?

The choice of "summary statistics" depends on the type of data (e.g., numerical, categorical), the distribution of the data (e.g., normal, skewed), and the research question. Consider using both measures of central tendency and dispersion to provide a comprehensive overview.

What is the difference between "summary statistics" and inferential statistics?

"Summary statistics" describe the characteristics of a sample, while inferential statistics use sample data to make inferences or generalizations about a larger population. See also "descriptive statistics".