概率论与数理统计的书里有一句话:
The null hypothesis <bblatex>H_0</bblatex> in the <bblatex>\chi ^2</bblatex> test specifies the distribution of the observations exactly, but it is not likely that the actual distribution of the observation will be exactly the same as that of a random sample from this specific distribution. Therefore, if the <bblatex>\chi ^2</bblatex> test is based on a very large number of observations, we can be almost certain that the tail area corresponding to the observed value of Q will be very small.
其中这句话 but it is not likely that the actual distribution of the observation will be exactly the same as that of a random sample from this specific distribution
和we can be almost certain that the tail area corresponding to the observed value of Q will be very small不太理解,请问是什么意思?
