Some of the specific characteristics of the normal distribution are the following:
The normal pdf has a mean, , which is equal to the median, , and also equal to the mode, , or = = . This is because the normal distribution is symmetrical about its mean.
The mean, μ, or the mean life or the MTTF, is also the location parameter of the normal pdf, as it locates the pdf along the abscissa. It can assume values of - < < .
The normal pdf has no shape parameter. This means that the normal pdf has only one shape, the bell shape, and this shape does not change.
The standard deviation, σT, is the scale parameter of the normal pdf.
As σT decreases, the pdf gets pushed toward the mean, or it becomes narrower and taller.
As σT increases, the pdf spreads out away from the mean, or it becomes broader and shallower.
The standard deviation can assume values of 0 < σT < .
The greater the variability, the larger the value of σT, and vice versa.
The standard deviation is also the distance between the mean and the point of inflection of the pdf, on each side of the mean. The point of inflection is that point of the pdf where the slope changes its value from a decreasing to an increasing one, or where the second derivative of the pdf has a value of zero.
One of the disadvantages of using the normal distribution for reliability calculations is the fact that the normal distribution starts at negative infinity. This can result in negative values for some of the results. Negative values for time are not accepted in most of the components of Weibull++, nor are they implemented. Certain components of the application reserve negative values for suspensions, or will not return negative results. For example, the Quick Calculation Pad will return a null value (zero) if the result is negative. Only the Free-Form (Probit) data sheet can accept negative values for the random variable (x-axis values).
The Normal Distribution
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