What’s the probability for a normal distribution The image contains a mathematical inequality written as follows:\[ D(P - 1.20 < Z < -0.80) \]This notation suggests a probability or distribution function, where \( P \) represents a parameter or random variable, and \( Z \) is likely a standard score (z-score) in a normal distribution. The expression is evaluating the probability that \( Z \) is between -1.20 and -0.80. This type of notation is often used in statistics to describe the likelihood that a variable falls within a certain range of values.

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Answered: D. pl-H.20 <26-0.80

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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What’s the probability for a normal distribution

The image contains a mathematical inequality written as follows:

\[ D(P - 1.20 < Z < -0.80) \]

This notation suggests a probability or distribution function, where \( P \) represents a parameter or random variable, and \( Z \) is likely a standard score (z-score) in a normal distribution. The expression is evaluating the probability that \( Z \) is between -1.20 and -0.80. This type of notation is often used in statistics to describe the likelihood that a variable falls within a certain range of values.

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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