median point

USAGE SUMMARY

The phrase "median point" is correct and usable in written English.
It can be used in contexts related to statistics, mathematics, or discussions about averages and central tendencies. Example: "To find the median point of the data set, we must first arrange the numbers in ascending order."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

47 human-written examples

As he has written: "As families are raised above the target level of income, the median point itself rises".

The Guardian - Opinion

The median point of the interface depends on the order of accuracy r.

Journal of Computational Physics

Looking comes at a median point for LGBT acceptance – a time when much progress has been made, but much still remains to fight for.

BBC

In median cut quantisation [2], an iterative procedure repeatedly splits (by a plane through the median point) colour cells into sub-cells.

EURASIP Journal on Image and Video Processing

Median cut quantisation[2]: An iterative algorithm that repeatedly splits (by a plane through the median point) colour cells into sub-cells.

EURASIP Journal on Image and Video Processing

Clinically significant posttraumatic stress symptoms are among the most common psychological long-term sequelae in intensive care unit survivors with a median point prevalence of 19%% [e.g., 29, 30].

Annals of Intensive Care

Human-verified similar examples from authoritative sources

Similar Expressions

13 human-written examples

In case that no constraints are used ('none,' standard AAMs), the median point-to-point error is larger than 125 pixels.

EURASIP Journal on Image and Video Processing

From the quantitative results in Figure 8a, it can be seen that the median point-to-point error of all landmark types is below 5 mm.

EURASIP Journal on Image and Video Processing

As a typical example, for all 15 quail sequences, the median point-to-point error of lower leg landmarks of the side camera view is about 110 pixels for standard AAMs and only about 20 pixels for augmented AAMs.

EURASIP Journal on Image and Video Processing

For other landmark groups, augmented AAMs are also clearly superior to their standard AAM counterparts: for the example of the 15 quail datasets, the median point-to-point error of torso landmarks of the top camera view is about 25 pixels for standard AAMs and about 15 pixels for augmented AAMs.

EURASIP Journal on Image and Video Processing

also show that both curves fit through the median points of each bin fairly well.

Crime Science

Expert writing Tips

Best practice

When describing data distributions, use "median point" to specifically indicate the middle value that separates the higher and lower halves of the dataset. This is particularly useful when the data is skewed and the mean is not representative.

Common error

Avoid using "median point" interchangeably with "mean" or "average". The median specifically refers to the central data point when data is ordered, while the mean is the sum of all values divided by the number of values. Using the wrong term can misrepresent the data.

Linguistic Context

The phrase "median point" functions as a noun phrase, typically used to identify a specific value or location representing the middle of a dataset or distribution. As Ludwig AI explains, it is grammatically correct and usable in written English.

Expression frequency: Uncommon

Frequent in

Science

80%

News & Media

20%

Formal & Business

0%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "median point" is a grammatically sound noun phrase referring to the central value in a dataset, particularly useful when data is skewed. Ludwig AI confirms its correct usage and it is most commonly found in scientific and news contexts. When writing, it's important to differentiate "median point" from the mean, and consider using alternatives like "midpoint" or "central value" depending on the specific nuance you want to convey. Always aim for precision when describing statistical data.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

midpoint

Focuses on the geometric center or average position rather than the statistical middle.

central value

Emphasizes the value at the center of a distribution, not necessarily the calculated median.

middle value

A general term for the value in the center, without specifying statistical calculation.

median value

More emphasis on the value rather than the spatial reference.

center point

Emphasizes a physical or spatial center more than a statistical one.

average point

Suggests a calculated average which might not be the exact median.

central tendency

Refers to the general statistical concept rather than a specific point.

typical value

Implies a value that is representative, which can be the mean, median, or mode.

fifty percentile

A more technical, statistical expression for the median.

point of equilibrium

Suggests a balancing point, often used in physics or economics contexts.

FAQs

How is "median point" used in statistical analysis?

In statistical analysis, the "median point" indicates the central value in a dataset, dividing the distribution into two equal halves. It's particularly useful when dealing with skewed data where the mean might be misleading.

What's the difference between "median point" and mean?

The "median point" is the middle value in a dataset, whereas the mean is the average of all values. The median is less sensitive to outliers, making it a more robust measure of central tendency in skewed distributions.

Are there alternatives to saying "median point"?

Yes, you can use alternatives such as "midpoint", "central value", or "middle value" depending on the context. These alternatives emphasize the central position or value in a dataset.

When should I use "median point" instead of "average"?

Use "median point" when you want to describe the central value of a dataset that may contain outliers or is not normally distributed. The "average", or mean, can be significantly affected by extreme values, while the median provides a more stable measure of central tendency.