ISBN: - 978-93-88936-09-5 MSb = SSb/d MSw = SSw/dfw fb Where, MS = the be MSw = the w df = dfb = Where, k = the numb n = the total number of scores in all samples combined. er of samples (groups) 1.20(D) T - Test calculated among two va iables. respect to a variable. It is r Theoretical work on t-dist statistic” is defined as: x t = −µ S Where, S = x n ( −x x2 n−1 distribution as: v f t C= + ( ) 1 Where, t = C = a constant required to m v = n-1, the number of degr To test the signific r t = 1 − r 2 x n − 2 2 30 ake the area under the curve equal to unity. ees of freedom. an ce of the correlation coefficient the followin g formula is used: t2 v − +2 2 2 ) The t-distribution is derived mathematically under the assu mption of a normal ‘t’ test is used to study the significant differences among two gr is also used to test In the study for ribution was done by W.S. Gosset in the the significance of a co the latter purpose groups of samples with correlation co-efficient e‘t’ test is employed. e early 1900. The “tthe k-1 tween- groups mean squares ithin – group mean squares dfw = n1-k e degrees of freedom k
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