1 _ n (£ J + n(n - 1) G £ J _ n(n - 1)(n - 2) G £

where £ = mean and equation 8.31 is a poisson distribution. Variance o2 = £ (also). 8.3.3. Continuous Probability Distributions

The random process may be discrete or continuous. For continuous function, the histogram (Fig. 8.3(b)) becomes a continuous. As probability P(x) tends to zero, the probability density function p(x) is plotted against x. The probability density p(x) is defined by and fb p(x) = P(a < x < b) = I p(x) dx Ja

J p(x) dx = 1 For continuous distribution,

Variance, o2 = J x2 p(x) - £2 For independent random variable X and Y, mean, E(X ± Y) = E(X) + E(Y) ...(8.35)

Negative exponential distribution. The probability that the interval between event T, will exceed time t is given by p (T > t) = e

where T is the mean interval between events.

Gaussian or normal distribution. A random variable, x is said to be normally distributed if its density function has the form

Was this article helpful?

0 0
DIY Battery Repair

DIY Battery Repair

You can now recondition your old batteries at home and bring them back to 100 percent of their working condition. This guide will enable you to revive All NiCd batteries regardless of brand and battery volt. It will give you the required information on how to re-energize and revive your NiCd batteries through the RVD process, charging method and charging guidelines.

Get My Free Ebook

Post a comment