INTELLIPATH - MATH 301 INTELLIPATH T DISTRIBUTION...

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MATH 301 INTELLIPATH T DISTRIBUTION Introduction As it was previously mentioned, we use T-distribution for the samples drawn from an abnormally distributed population or with samples of size smaller than thirty. We present the equations to calculate the t-scores as well as the limits for the confidence interval. Learning Material T-distribution can be used to calculate the confidence interval for sampling distribution drawn from abnormally distributed population or samples of size less than thirty. When sampling distribution is used involving many samples, the t-score can be calculated by: T-distribution has always a mean of zero. The variance of a t-distribution depends on its degrees of freedom. The degree of freedom (d.f.) is always greater than or equal to two. The variance of a t-distribution is calculated by When there are multiple degrees of freedom, the variance is always greater than one even though its value is near one. The t-distribution is symmetry. However, the tails of a t-

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