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MATLAB: An Introduction with Applications
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Author:Amos Gilat
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see attached. please detail explanation.

### Understanding Normal Distribution

A normally distributed random variable with mean \( \mu \) has a probability density function given by:

\[ \frac{1}{\sigma \sqrt{2\pi}} \exp \left( -\frac{1}{2} \left(\frac{x - \mu}{\sigma}\right)^2 \right) \]

Here, 
- \( \mu \) is the mean 
- \( \sigma \) is the standard deviation
- \( x \) is the variable
- \( \exp \) denotes the exponential function

### Key Question
What is the standard deviation \( \sigma \)?
Transcribed Image Text:### Understanding Normal Distribution A normally distributed random variable with mean \( \mu \) has a probability density function given by: \[ \frac{1}{\sigma \sqrt{2\pi}} \exp \left( -\frac{1}{2} \left(\frac{x - \mu}{\sigma}\right)^2 \right) \] Here, - \( \mu \) is the mean - \( \sigma \) is the standard deviation - \( x \) is the variable - \( \exp \) denotes the exponential function ### Key Question What is the standard deviation \( \sigma \)?
Expert Solution
Step 1

The normal distribution:

A continuous random variable X is said to follow normal distribution if the probability density function of X is,

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