Question

Assuming a normal or Gaussian distribution for the strength of tested samples, what are the values of the risk factor k for the failure rates of 5% and 50%

Zero and 2

2 and Zero

1.64 and Zero

Zero and 1.64

​

Answer 1

Answer:

Gaussian Distribution

Explanation:

Normal distribution, also known as the Gaussian distribution, is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean. In graph form, normal distribution will appear as a bell curve.

If the number of events is very large, then the Gaussian distribution function may be used to describe physical events. The Gaussian distribution is a continuous function which approximates the exact binomial distribution of events.

Answer 2

The risk factors for the gaussian distribution of 5 % and 50 % would be 1.64 and zero

explanation-

When original data is quantitative variation is characterized Then most established model is prepared which is known as normal or Gaussian distribution.The Gaussian distribution includes the basic study of the risk factors that are present.We can also term this method as the quantitative risk management which covers of the Gaussian distribution .This function is used to study the exponential scale which is actually the error function rising in the genetic distribution. The motion that happens biologically is monitored and then the function is generated.

coulomb gas methods have been used for determining the winding angles for the extreme scaling paths.

T(n,p)=T(n)- ¼ ((p^2)/(T(n)+b))

Hence the values found for 5 and 50 % would be 1.64 and 0 respectively .

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