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median intensity

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "median intensity" is correct and usable in written English.
It can be used in contexts such as statistics, data analysis, or scientific research to refer to the middle value of intensity measurements. Example: "The median intensity of the light source was measured to ensure consistent brightness across the experiment."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

This data represents the 739 most intensely expressed genes, identified by a 635 Median Intensity or a 532 Median Intensity > 1500.

The median intensity of the treated bone tissue was compared between groups.

Results were expressed as the median intensity of the sensory perceptions of the 12 panelists.

Table 1 shows a comparison of the average and median intensity and duration of the SH- and H- events.

Finally the improved spectrogram is reconstructed by modifying the speckles to be the median intensity in the filtering window.

The median intensity of breathlessness reported by the patients was 5 compared to 2 by nurses and physicians (p < 0.001).

Using a median intensity measurement within an area of interest has certain advantages over the average intensity measurement.

Centers 2 has the highest median intensity.

Science

Plosone

To scale between arrays, the global median intensity per array was set at 1000.

Science

Plosone

The median intensity of each spot was corrected by subtraction with the median local background.

Science

Plosone

Furthermore, only features for which the green channel median intensity was greater than 85 and the red channel median intensity was greater than 110 were considered for further analysis.

Science

Plosone
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Expert writing Tips

Best practice

When reporting "median intensity", specify the units of measurement to provide context and ensure clarity. For instance, state "median intensity in lumens" or "median intensity in arbitrary units".

Common error

Avoid using "median intensity" and mean intensity interchangeably. The median represents the central value, while the mean is the average. Choose the appropriate measure based on the data distribution; the median is more robust to outliers.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

80%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "median intensity" functions as a noun phrase, typically acting as a subject or object in a sentence. It refers to a specific statistical measurement related to the strength or magnitude of something. Ludwig AI confirms this with numerous examples in scientific literature.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase “median intensity” is a common term, as Ludwig AI confirms, primarily used within scientific research to describe the central tendency of intensity measurements. Grammatically sound, it's essential for comparing, normalizing, and establishing thresholds in diverse datasets. While alternatives like "average intensity" or "midpoint intensity" exist, “median intensity” is most precise. When using this phrase, ensure you specify the units of measurement for clarity and avoid interchanging it with “mean intensity”. Its formality is due to its prevalence in academic and scientific writing.

FAQs

What does "median intensity" mean in data analysis?

In data analysis, "median intensity" refers to the middle value of a set of intensity measurements. It's a measure of central tendency that's less sensitive to extreme values than the mean.

How do I calculate the "median intensity" of a dataset?

To calculate the "median intensity", first, sort your intensity values in ascending order. If there's an odd number of values, the median is the middle value. If there's an even number, the median is the average of the two middle values.

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

Use "median intensity" instead of average intensity when your dataset contains outliers or is skewed. The median provides a more robust measure of central tendency in such cases.

What are some alternatives to using the phrase "median intensity"?

Depending on the context, you can use alternatives such as "typical intensity level" or "midpoint intensity". For a statistical definition, consider "intensity at the 50th percentile".

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