Need some help with a normal distribution problem. All parts. Any help with how to calculate on a ti-84 plus calculator would be appreciated. Round to 4 decimals please. Thank you! The number of ants per acre in the forest is normally distributed with mean 42,000 and standard deviation12,314. Let X = number of ants in a randomly selected acre of the forest. Round all answers to 4 decimalplaces where possible.a. What is the distribution of X? X ~ N(b. Find the probability that a randomly selected acre in the forest has fewer than 54,231 ants.c. Find the probability that a randomly selected acre has between 45,643 and 54,588 ants.d. Find the first quartile.ants (round your answer to a whole number)Hint:

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Answered: The number of ants per acre in the…

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 some help with a normal distribution problem. All parts. Any help with how to calculate on a ti-84 plus calculator would be appreciated. Round to 4 decimals please. Thank you!

The number of ants per acre in the forest is normally distributed with mean 42,000 and standard deviation
12,314. Let X = number of ants in a randomly selected acre of the forest. Round all answers to 4 decimal
places where possible.
a. What is the distribution of X? X ~ N(
b. Find the probability that a randomly selected acre in the forest has fewer than 54,231 ants.
c. Find the probability that a randomly selected acre has between 45,643 and 54,588 ants.
d. Find the first quartile.
ants (round your answer to a whole number)
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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