As the degrees of freedom increase, the t distribution approaches the "normal distribution".
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What is normal distribution?</h3>
For independent, random variables, the normal distribution, often referred as the Gaussian distribution, represents the most significant probability distribution in statistics. Most people are familiar with the bell-shaped curve found in statistical reports.
Some key features regarding the normal distribution are-
- A normal distribution is a probability distribution that is symmetrical around the mean, with most observations clustering around the central peak and probabilities tapering off equally in both directions.
- Data points in both distribution tails are similarly uncommon.
- Whereas the normal distribution appears symmetrical, it is not the only symmetrical distribution.
- The Student's t, Cauchy, & logistic distributions, for example, are symmetric.
- The normal distribution, like any other probability distribution, defines the how values of a variable is distributed.
- Because it accurately captures the range of values for many natural occurrences, it's the most essential probability distribution in statistics.
To know more about the normal distribution, here
brainly.com/question/23418254
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