median values

USAGE SUMMARY

'median values' is a perfectly valid phrase used in written English.
For example, you can use it in the sentence: "After assessing the data, the researchers determined the median values for age and income."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

As a result, Equilar says, the median values of C.E.O.

The New York Times

Median values are given.

The Journal of Headache and Pain

Median values are in italics.

SERIEs

Horizontal bold lines represent median values.

JA Clinical Reports

The bold line shows median values.

Evolution: Education and Outreach

Circles with dots mark median values.

EURASIP Journal on Image and Video Processing

The horizontal lines indicate the median values.

EJNMMI Research

Empirical upper limits and median values are identified.

Treatise on Geophysics

The red circles present the SCPs median values.

Earth, Planets and Space

The median values are reported for each defect.

Chemical and Biological Technologies in Agriculture

Median values of clones are shown from A (white arrowheads).

Protein & Cell

Expert writing Tips

Best practice

When reporting "median values", specify the interquartile range (IQR) to provide a measure of the data's variability, offering a more complete statistical picture.

Common error

Avoid using "median values" interchangeably with "mean values". The median represents the middle value, while the mean is the average. Use the median when data is skewed or contains outliers.

Linguistic Context

The phrase "median values" functions as a noun phrase, typically serving as the subject or object of a sentence. It refers to a set of values representing the midpoint in a distribution. Ludwig AI confirms its validity, supported by numerous examples.

Expression frequency: Very common

Frequent in

Science

85%

News & Media

7%

Formal & Business

5%

Less common in

Encyclopedias

1%

Wiki

1%

Reference

1%

Ludwig's WRAP-UP

The phrase "median values" is a grammatically sound and frequently used term, primarily within formal and scientific contexts. Ludwig AI validates this, noting its prevalence across numerous examples. It serves to communicate statistical data, representing central tendency, especially when data is skewed. When using "median values", it is best practice to also include the interquartile range. Avoid confusing "median values" with average or mean values. Related phrases include "midpoint values" and "middle values". The term finds frequent use in science, news and media, and formal business publications.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

midpoint values

Focuses on the central point of a range, rather than the statistical measure.

middle values

Emphasizes the central position of the values within a dataset.

average values

Refers to the arithmetic mean, which can differ from the median.

representative values

Highlights that these values effectively represent a broader dataset.

typical values

Indicates values that are representative or characteristic of a dataset.

benchmark values

Implies values that serve as a standard for comparison.

central tendency

A broader term referring to measures that describe the center of a distribution.

reference values

Values used as a point of comparison, often in scientific or technical contexts.

characteristic values

Focuses on values that are distinctive or typical of a particular group or set.

quartile values

Refers to values that divide the dataset into quarters, including the median as the second quartile.

FAQs

How are "median values" used in data analysis?

"Median values" are used to represent the central tendency of a dataset, especially when the data is not normally distributed or contains outliers that would skew the mean.

What's the difference between "median values" and average values?

While both describe central tendency, "median values" represent the midpoint of a dataset, whereas average values (mean) are the sum of all values divided by the number of values. The median is less sensitive to extreme values.

When should I use "median values" instead of mean values?

Use "median values" when your dataset has outliers or is skewed. The median provides a more robust measure of central tendency in these situations, as it's not affected by extreme values like the mean is.

What are some alternatives to saying "median values"?

You could use terms like "midpoint values" or "middle values", although these might not always be perfectly interchangeable depending on the context.