Inferential Statisticshard
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Consider a sequence of independent and identically distributed random variables X1,X2,,XnX_1, X_2, \dots, X_n with mean μ\mu and variance σ2\sigma^2. If we define a test statistic Tn=Xˉnμ0Sn/nT_n = \frac{\bar{X}_n - \mu_0}{S_n / \sqrt{n}}, where SnS_n is the sample standard deviation, what is the impact of the violation of the normality assumption on the distribution of TnT_n as nn \to \infty?