mean percentage deviation

USAGE SUMMARY

The phrase "mean percentage deviation" is correct and usable in written English.
It can be used in statistical or analytical contexts to describe the average deviation of a set of percentages from a mean value. Example: "The mean percentage deviation of the survey results indicates how much the responses varied from the average score."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

6 human-written examples

The differences between calculated solubilities and experimental values was used as an accuracy criterion and defined as mean percentage deviation (MPD).

Il Farmaco

The prediction capability of the model was evaluated employing aldehyde oxidase as a model enzyme in seven water – organic solvent mixtures at 25, 35 and 45 °C by using mean percentage deviation (MPD).

Journal of King Saud University - Science

The developed models were validated using internal and external validation methods, and the prediction errors were checked using mean percentage deviation and absolute average error values.

BioMed Research International

The lower limits of quantification were 0.5 (Toulouse) and 0.1 ng ml−1 (Rotterdam), and the mean percentage deviation from nominal values (accuracy) and precision (within-run and between-run variability) of quality control samples simultaneously run during the analysis was always less than 15%.

British Journal of Cancer

To ensure that our deviation score did not simply reflect effects of pseudoneglect rather than actual overall accuracy, for each participant we also calculated mean percentage deviation scores from the non-absolute (raw percentage) values of deviation, which includes information about direction (negative values for leftward deviation, and positive values for rightward deviation).

Acta Psychologica

The selected parameters were used for developing QSBR equations using the multiple linear regression correlation (MLR) method, and the goodness of fit and statistical significance of the models were evaluated using R (coefficient of determination), F (variance ratio), and the MPD (mean percentage deviation) values calculated using: (1) MPD = 100 N ∑ | Y pred.

BioMed Research International

Human-verified similar examples from authoritative sources

Similar Expressions

54 human-written examples

Shown is the mean percentage ±standard deviation of FITC positive cells.

eLife

Overall mean absolute percentage deviation of 1.64% was found.

Fluid Phase Equilibria

For these two predictions the mean relative percentage deviation modulus was 10.27% and 18.35%, respectively.

Scientia Horticulturae

: Mean ± standard deviation, : number (percentage).

BMC Musculoskeletal Disorders

The results are examined based on four criteria: mean, standard deviation, mean RPD (relative percentage deviation) and run time.

Journal of Industrial Engineering International

Expert writing Tips

Best practice

Use "mean percentage deviation" when you want to express the average deviation as a percentage of the original value. This is particularly useful when comparing deviations across different scales or units.

Common error

Do not confuse "mean percentage deviation" with standard deviation. While both measure data dispersion, "mean percentage deviation" expresses deviation as a percentage, whereas standard deviation is in the original units of the data.

Linguistic Context

The phrase "mean percentage deviation" functions as a statistical term used to describe the average deviation of a set of values from a central value, expressed as a percentage. It is often used to evaluate the accuracy of models or predictions, as exemplified in the Ludwig examples.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "mean percentage deviation" is a statistical term used to measure the average percentage difference between predicted and actual values. Ludwig AI confirms that the phrase is grammatically correct and primarily used in scientific contexts to evaluate the accuracy of models or methods. It is important to use this term accurately and understand its purpose in quantifying error or variability. While alternatives exist, such as "average percentage deviation", it's crucial to maintain consistency in terminology within a specific context. Remember to specify the context when reporting this metric to ensure clarity.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

average percentage deviation

Replaces "mean" with "average", maintaining the same statistical meaning.

mean percent deviation

Shortens "percentage" to "percent", a common variation.

average percent deviation

Combines both substitutions for "mean" and "percentage".

mean absolute percentage error

Refers to the average of the absolute percentage errors, clarifying the calculation method.

average absolute percentage error

Combines "average" instead of "mean" with "absolute percentage error".

mean relative percentage difference

Focuses on the difference relative to a reference value.

average relative percentage difference

Combines "average" instead of "mean" with "relative percentage difference".

percentage deviation mean

Reorders the words while still conveying the same general idea.

average deviation in percentage terms

Rephrases the concept to emphasize the percentage context.

mean fractional deviation

Employs fractional deviation to express error as a fraction.

FAQs

What does "mean percentage deviation" measure?

The "mean percentage deviation" measures the average percentage difference between predicted or calculated values and actual or experimental values. It's a way to assess the accuracy of a model or method, expressing the deviation as a percentage.

How is "mean percentage deviation" calculated?

To calculate the "mean percentage deviation", first find the percentage deviation for each data point. Then, calculate the mean of these percentage deviations by summing them and dividing by the total number of data points.

When should I use "mean percentage deviation" instead of other error metrics?

Use "mean percentage deviation" when you want to express the error relative to the actual values, especially when comparing errors across different scales. This makes it easier to understand the magnitude of the error in percentage terms.

What is the difference between "mean percentage deviation" and "mean absolute percentage error"?

The "mean absolute percentage error" (MAPE) is a type of "mean percentage deviation" that uses absolute values of percentage errors. This prevents negative and positive errors from canceling each other out, providing a more robust measure of overall error magnitude.