The Flesch Reading Ease Test is a test that ranks the reading level of passages. But WB for the total number of words in the passage, as the number of sentences, and L the number of syllables. Then the fletch test calculates the score F of the passage using the formula F equals 206.835-1.015W/S-84.6L/W
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
The Flesch Reading Ease Test is a test that ranks the reading level of passages. But WB for the total number of words in the passage, as the number of sentences, and L the number of syllables. Then the fletch test calculates the score F of the passage using the formula F equals 206.835-1.015W/S-84.6L/W
Given formula for the score F of fetch test is
(i)
Where
W=Total number of words in the passage
S= Total number of sentences in the passage
L= Total number of syllables in the passage.
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