Notebooks survive, including attempts to formulate a quantitative theory of evolution; they also contain a derivation of the chi-squared distribution.
32.
When assessed upon a chi-square distribution, nonsignificant chi-square values indicate very little unexplained variance and thus, good model fit.
33.
This is the Fourier transform of the chi-squared distribution with " r " " i " degrees of freedom.
34.
But if " n " is small, then the probabilities based on chi-squared distributions may not be very close approximations.
35.
At first glance, it is not obvious where the sum of squared normal distributions from a chi-squared distribution occur in a contingency table.
36.
It is also often defined as the distribution of a random variable whose reciprocal divided by its degrees of freedom is a chi-squared distribution.
37.
Among the consequences of its use is that the test statistic actually does have approximately a chi-square distribution when the sample size is large.
38.
Unlike more widely known distributions such as the normal distribution and the exponential distribution, the chi-squared distribution is rarely used to model natural phenomena.
39.
When the scale parameter \ mu equals 2, the distribution simplifies to the chi-squared distribution with " 2k " degrees of freedom.
40.
The quotient of that sum by ? 2 has a chi-squared distribution with only " n " " 1 degrees of freedom:
