Need help with a normal distribution problem. All parts. Any additional help with the ti-84 plus calculator would be great if known. Round to 4 decimals where possible please. Thank you! The average number of words in a romance novel is 64,484 and the standard deviation is 17,144. Assume thédistribution is normal. Let X be the number of words in a randomly selected romance novel. Round all answersto 4 decimal places where possible.a. What is the distribution of X? X N(b. Find the proportion of all novels that are between 54,198 and 64,484 words.c. The 95th percentile for novels iswords. (Round to the nearest word)d. The middle 60% of romance novels have fromwords towords. (Round to thenearest word)Hint:

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Answered: The average number of words in a…

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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Need help with a normal distribution problem. All parts. Any additional help with the ti-84 plus calculator would be great if known. Round to 4 decimals where possible please. Thank you!

The average number of words in a romance novel is 64,484 and the standard deviation is 17,144. Assume thé
distribution is normal. Let X be the number of words in a randomly selected romance novel. Round all answers
to 4 decimal places where possible.
a. What is the distribution of X? X N(
b. Find the proportion of all novels that are between 54,198 and 64,484 words.
c. The 95th percentile for novels is
words. (Round to the nearest word)
d. The middle 60% of romance novels have from
words to
words. (Round to the
nearest word)
Hint:

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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