Question 22: A requirement for business graduate school is the GMAT. The GMAT is normally distributed with a mean of 527 and a Standard deviation of 112. The max score on the GMAT is 800. Typically high scorers on the GMAT will get scholarships for graduate school. A score of 720 or higher is a competitive range. Calculate the probability a test taker scores between 720 and 800. (Round to the hundredths) A requirement for business graduate school is the GMAT. TheGMAT is normally distributed with a mean of 527 and astandard deviation of 112. The max score on the GMAT is 800.Typically high scorers on the GMAT will get scholarships forgraduate school. A score of 720 or higher is a competitiverange. Calculate the probability a test taker scores between720 and 800. (Round to the hundredths).O 0.040.51O 0.400.68

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Answered: A requirement for business graduate…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question 22: A requirement for business graduate school is the GMAT. The GMAT is normally distributed with a mean of 527 and a Standard deviation of 112. The max score on the GMAT is 800. Typically high scorers on the GMAT will get scholarships for graduate school. A score of 720 or higher is a competitive range. Calculate the probability a test taker scores between 720 and 800. (Round to the hundredths)

A requirement for business graduate school is the GMAT. The
GMAT is normally distributed with a mean of 527 and a
standard deviation of 112. The max score on the GMAT is 800.
Typically high scorers on the GMAT will get scholarships for
graduate school. A score of 720 or higher is a competitive
range. Calculate the probability a test taker scores between
720 and 800. (Round to the hundredths).
O 0.04
0.51
O 0.40
0.68

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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