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Inferential Statisticshard
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Consider a sequence of independent and identically distributed random variables X1,X2,…,XnX_1, X_2, \dots, X_nX1​,X2​,…,Xn​ with mean μ\muμ and variance σ2\sigma^2σ2. If we define a test statistic Tn=Xˉn−μ0Sn/nT_n = \frac{\bar{X}_n - \mu_0}{S_n / \sqrt{n}}Tn​=Sn​/n​Xˉn​−μ0​​, where SnS_nSn​ is the sample standard deviation, what is the impact of the violation of the normality assumption on the distribution of TnT_nTn​ as n→∞n \to \inftyn→∞?