|
A test of significance that assumes the sample standard deviation is different from the population standard deviation. The level of confidence that a particular value is different from the null hypothesis value is derived from a t distribution rather than a normal distribution. The t distribution is wider than the normal distribution to correct for the difference between the observed sample standard deviation and the unobserved normal distribution. As the size of the sample increases, the t distribution approaches the shape of the normal distribution.
|
