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  • https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/DSCI_500B_Essential_Probability_Theory_for_Data_Science_(Kuter)/07%3A_The_Sample_Variance_and_Other_Distributions/7.01%3A_Chi-Squared_Distributions
    Given that there is more area under the \(t\) distribution pdf curves in these extreme regions, this implies that there is a higher probability that the value of a random variable with a \(t\) distrib...Given that there is more area under the \(t\) distribution pdf curves in these extreme regions, this implies that there is a higher probability that the value of a random variable with a \(t\) distribution would be this far away from the center compared to a standard normal random variable, meaning that there is greater spread in the values from the mean and hence a larger variance for the \(t\) distribution.

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