It approaches the normal distribution as the degrees of freedom decreases.
The t distribution tends to follow a normal distribution as the sample size rises. The degree of freedom is ultimately determined by the sample size, so as the degree of freedom rises, the t distribution tends to be a normal distribution. In that it is symmetric and bell-shaped, the t-distribution is similar to the normal distribution. However, because of the t-larger distribution's tails, it is more likely to contain values that significantly vary from the mean. It is helpful to understand the statistical behavior of various forms of random quantity ratios because volatility in the denominator is exacerbated and may produce outlying results when the denominator of the ratio falls near to zero. The Student's t-distribution is a specific illustration of the generalized hyperbolic distribution.
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