Question

(a) What is the normal probability distribution function? State its properties.

(b) The concentration of impurities in a semiconductor used in the production of microprocessors for computer is a normally distributed random variable with mean 127 parts per million and standard deviation 22. A semiconductor is acceptable only if its concentration of impurities is below 150 parts per million. What proportions of the semiconductors are acceptable for use? (The area under the standard normal curve for the value of z = 1.5 is 0.668).

01 Dec 2020
Answer :
Word Count : 585

(a) The Normal Probability Distribution Function:

The normal probability distribution function, also known as the normal distribution or Gaussian distribution, is a fundamental concept in statistics and quantitative methods. It is a continuous probability distribution that is symmetric and bell-shaped. The normal distribution is fully characterized by two parameters: the mean (μ) and the standard deviation (σ). The probability density function (PDF) of the normal distribution is given by the following formula:

\[f(x) = \frac{1}{\sigma \sqrt{2\pi}}e^{-\frac{(x-\mu)^2}{2\sigma^2}}\]

Where:
- \(x\) is the random variable.
- \(\mu\) is the mean, which represents the center of the distribution and locates the peak of the bell curve.
- \(\sigma\) is the standard deviation, which determines the spread or width of the distribution.
- \(\pi\) is a constant (approximately 3.14159).
- \(e\) is the base of the natural logarithm (approximately 2.71828).

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