Descriptive statistics

USAGE SUMMARY

The term "descriptive statistics" is correct and usable in written English.
It refers to the analysis and presentation of numerical data which makes use of summary statistics and graphical displays. For example, descriptive statistics can be used to summarize the distribution of scores on a test from a sample of students.

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Descriptive statistics.

IZA Journal of Migration

Descriptive statistics were generated.

Reproductive Toxicology

Descriptive statistics are used.

Strategies in Trauma and Limb Reconstruction

Descriptive statistics were applied.

International Journal of Emergency Medicine

Descriptive statistics were performed.

International Journal of Emergency Medicine

Descriptive statistics of employed males.

IZA Journal of Migration

Descriptive statistics of the data.

Carbon Balance and Management

Descriptive statistics are weighted averages.

IZA Journal of Migration

Descriptive statistics of the measures.

Injury Epidemiology

Descriptive statistics employed proportions.

BMC Pulmonary Medicine

Descriptive statistics are reported.

Annals of the Rheumatic Diseases

Expert writing Tips

Best practice

Use visuals, such as histograms or box plots, to complement "Descriptive statistics" and provide a more intuitive understanding of the data distribution.

Common error

Avoid using "Descriptive statistics" to make generalizations beyond your sample population. "Descriptive statistics" only summarize the data at hand, while inferential statistics are needed to draw broader conclusions.

Linguistic Context

The phrase "Descriptive statistics" functions as a noun phrase referring to methods used to quantitatively summarize the main features of a data set. Ludwig provides examples demonstrating its use in scientific research, where it often precedes a description of the specific statistical measures employed.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, "Descriptive statistics" is a grammatically correct and very common noun phrase, predominantly used within scientific and academic contexts. Ludwig AI confirms its proper usage in diverse scientific publications. The primary function of the phrase is to introduce and contextualize quantitative summaries of data. When using "Descriptive statistics", ensure you clearly define the specific measures you're employing and avoid using these statistics to make inferences beyond your sample population. Alternatives such as "summary statistics" or "data summarization" may be suitable depending on the context. Overall, mastering the appropriate use of "Descriptive statistics" is essential for clear and accurate data presentation in academic and scientific writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

summary statistics

This alternative focuses on the summarizing aspect of descriptive statistics, highlighting the presentation of data's main features.

data summarization

This phrase emphasizes the process of condensing data into a more understandable form, a core function of descriptive statistics.

statistical summaries

It provides another phrasing that is interchangeable and puts emphasis on data reporting.

data description

This alternative is more general, referring to the act of describing data which can be achieved through descriptive statistics.

summary of data

This option highlights the concise presentation of key data characteristics, mirroring the aim of descriptive statistics.

basic statistics

This term describes the fundamental statistical methods used to summarize and present data, often encompassing descriptive statistics.

exploratory data analysis

Exploratory data analysis uses descriptive statistics as a foundation to uncover patterns in data.

initial data analysis

This phrase represents the first steps in analyzing data, where descriptive statistics are commonly applied.

high-level statistics

The term is a reference to the statistics that summarize the most important characteristics of data.

simple statistics

This represents the use of fundamental statistical methods to summarize and present data.

FAQs

What's the purpose of "Descriptive statistics"?

"Descriptive statistics" are used to summarize and present data in a meaningful way, making it easier to interpret and understand. They help in describing the basic features of a dataset.

How do I present "Descriptive statistics" in a report?

Present "Descriptive statistics" using tables, charts, and graphs to visually summarize the data. Include measures such as mean, median, mode, standard deviation, and range, and interpret their significance in the context of your study.

What's the difference between "Descriptive statistics" and inferential statistics?

"Descriptive statistics" summarize the characteristics of a dataset, while inferential statistics use a sample to make inferences about a larger population. Descriptive methods describe the data, inferential methods draw conclusions.

What are some alternatives to "Descriptive statistics"?

Alternatives include "summary statistics", "data summarization", or "statistical summaries", depending on the specific context. These terms all relate to summarizing and presenting data in a clear and concise manner.