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Chi Square Distribution
Chi square was first utilized by Karl Pearson in 1900. It is denoted by the Greek letter χ2. This contains only one parameter, called the number of degrees of freedom (d-f), whereas term degree of freedom represents the number of independent random variables that express the chi square
Properties
1. Its critical values vary along with the degree of freedom. For every raise in the number of degrees of freedom there is a new χ2 distribution.
2. This possesses additional property then that when χ21 and χ22 are independent and have a chi square distribution along with n1 and n2 degrees of from χ21 + χ22 will be distributed also as a chi square distribution along with n1 + n2 degrees of freedom
3. Where the degrees of freedom are 3.0 and less the distribution of χ2 is skewed. However, for degrees of freedom greater than 30 in a distribution, the values of χ2 are generally distributed
4. The χ 2 function has simply one parameter, the number of degrees of freedom.
5. χ2 distribution is a continuous probability distribution that has the value zero at its lower limit and extends to infinity in the positive direction. Negative value of χ2 is not possible since the differences between the expected and observed frequencies are usually squared.
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Use your keyboard to control a linear interpolation between the original mesh and its planar target shape a. Each vertex vi has its original 3D coordinates pi and 2D coordinates
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Ask question #Min 4.4238/[1.047+{1.111*[9.261/7.777]}*1.01
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