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Normalize grades write a function normalizegrades that receives a row array of test scores (arbitrary length, and positive values) and produces two outputs: 1. a row array array containing the grades normalized to a linear scale from 0 to 100. 2. the average of the normalized grades. hint: use the internal function mean to calculate the average. restriction: loops may not be used. for example, following code scores= [90, 45, 76, 21, 85, 97, 91, 84, 79, [grades, average-normalizeg rades (scores) 67]; produces grades= [92.78, average- 75.77 46.39, 78.35, 21.65, 87.63, 100, 93.81, 86.6, 81.44, 69.07] your function save reset matlab documentation 1 function [ output-args ] -untitled ( input-args ) 2 %untitled summary of this function goes here 3 % detailed explanation goes here 4 5 6 end

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Normalize grades write a function normalizegrades that receives a row array of test scores (arbitrary length, and positive values) and produces two outputs: ae Function [normScores, average] = normalizeGrades(ratings) m=max(ratings).

What is suggested in statistics?

In arithmetic and statistics, the suggestion refers back to the common of a fixed of values. The suggestion may be computed in some of the ways, inclusive of the easy mathematics suggest (upload up the numbers and divide the entire via way of means of the range of observations), the geometric suggest, and the harmonic suggest.

  1. Normalize the given ratings to a linear scale from zero to a hundred and discover the common of normalized ratings.
  2. Find the most rating withinside the giver ratings and normalize every rating, the use of the most rating, among O to a hundred.
  3. Find the common of normalized ratings the use of suggest.
  4. Test the information set.

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