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A rendition of the Fry graph. The Fry readability formula (or Fry readability graph) is a readability metric for English texts, developed by Edward Fry. [1] The grade reading level (or reading difficulty level) is calculated by the average number of sentences (y-axis) and syllables (x-axis) per hundred words. These averages are plotted onto a ...
The automated readability index (ARI) is a readability test for English texts, designed to gauge the understandability of a text. Like the Flesch–Kincaid grade level, Gunning fog index, SMOG index, Fry readability formula, and Coleman–Liau index, it produces an approximate representation of the US grade level needed to comprehend the text.
The Raygor estimate graph is a readability metric for English text. It was developed by Alton L. Raygor, who published it in 1977. [1] The US grade level is calculated by the average number of sentences and letters per hundred words. These averages are plotted onto a specific graph where the intersection of the average number of sentences and ...
In linguistics, the Gunning fog index is a readability test for English writing. The index estimates the years of formal education a person needs to understand the text on the first reading. For instance, a fog index of 12 requires the reading level of a United States high school senior (around 18 years old).
Linsear Write is a readability metric for English text, purportedly developed for the United States Air Force to help them calculate the readability of their technical manuals. [1] It is one of many such readability metrics, but is specifically designed to calculate the United States grade level of a text sample based on sentence length and the ...
A readability survey is a statistical survey of the ability of people to read given passages of text, written, formatted and/or laid-out in a variety of styles. The intent is to discover which are the preferable styles to use in order to maximise the ability of the reading audience to receive the intended message.
According to their research, 29% of 791 large-cap equity funds beat the S&P 500 in 2019. Of those funds, 75% beat the benchmark again in 2020. But only 9.1%, or 21 funds, were able to extend that ...
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