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Name: The number of peanuts in a 16 ounce can of nut munchies is normally di
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Description: The number of peanuts in a 16 ounce can of nut munchies is normally distributed with a mean of 9 3.6 and a standard deviation of 4.2 peanuts the number of peanuts in a 20 ounce Can of gone nuts is normally distributed with a mean of 111.8 and a stand

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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The number of peanuts in a 16 ounce can of nut munchies is normally distributed with a mean of 9 3.6 and a standard deviation of 4.2 peanuts the number of peanuts in a 20 ounce Can of gone nuts is normally distributed with a mean of 111.8 and a standard deviation of 3.4 peanuts

(a) Carmen purchased a 16 ounce can of nut munchies and counted 100 peanuts what is the Z score for this can of peanuts?

(B) Angelo purchased a 20 ounce can of gone nuts and counted 116 peanuts what is the Z score for this can of peanuts?

(C) Carmen declares that purchasing her can of nut munchies with 100 peanuts is less likely than Angelo purchasing a can of gone nuts with 116 peanuts is Carmen statement correct use the definition of the Z scores support or refute Carmen's claim

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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